03_RasterProjection-checkpoint.ipynb

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    "<div align=\"center\">\n",
    "<font color=\"blue\"><h1>GDAL - Map Projections</h1>\n",
    "<h3> August 2021 @ UNAVCO</h3></font></div>"
   ]
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   "source": [
    "# Raster Data and Map Projections"
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "In this tutorial, we will walk through examples of reprojecting raster datasets and working with coordinate transformations with GDAL. We will focus on these common operations \n",
    "\n",
    "1. Converting coordinates from one projection system to another\n",
    "2. Reprojecting geocoded rasters \n",
    "3. Reprojecting swath data\n",
    "   - Using GCPs\n",
    "   - Using geolocation arrays\n",
    "\n",
    "We assume that you have already completed the tutorial on raster data manipulation and are familiar with raster data representation in GDAL."
   ]
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   "cell_type": "markdown",
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   "source": [
    "## Let's begin"
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "Some imports and utility functions that we will use throughout the notebook."
   ]
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    "###The usual python imports for the notebook\n",
    "%matplotlib notebook\n",
    "from osgeo import gdal, ogr, osr\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "gdal.UseExceptions()\n",
    "\n",
    "#Utility function to load data\n",
    "def loadData(infile, band=1):\n",
    "    ds = gdal.Open(infile, gdal.GA_ReadOnly)\n",
    "    #Data array\n",
    "    data = ds.GetRasterBand(band).ReadAsArray()\n",
    "    #Map extent\n",
    "    trans = ds.GetGeoTransform()\n",
    "    xsize = ds.RasterXSize\n",
    "    ysize = ds.RasterYSize\n",
    "    extent = [trans[0], trans[0] + xsize * trans[1],\n",
    "            trans[3] + ysize*trans[5], trans[3]]\n",
    "    \n",
    "    ds = None\n",
    "    return data, extent\n"
   ]
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   "cell_type": "markdown",
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   "source": [
    "And let's also download some SRTM data from southern California"
   ]
  },
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   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
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     "text": [
      "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
      "                                 Dload  Upload   Total   Spent    Left  Speed\n",
      "100 11.2M    0 11.2M    0     0   854k      0 --:--:--  0:00:13 --:--:-- 3203k0      0 --:--:--  0:00:05 --:--:--     0\n"
     ]
    }
   ],
   "source": [
    "#Grab some SRTM data using the OpenTopography API\n",
    "!curl -X GET \"https://portal.opentopography.org/API/globaldem?demtype=SRTMGL1&south=34&north=35&west=-120&east=-119&outputFormat=GTiff\" -H \"accept: */*\" --output N34W120.tif"
   ]
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   "source": [
    "## Utility: gdalwarp"
   ]
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   "source": [
    "We will be using the **gdalwarp** utility either as an executable or programatically for accomplishing all the above listed data manipulation operations in this tutorial. For list of options supported by **gdalwarp**, see  \n",
    "\n",
    "http://www.gdal.org/gdalwarp.html\n",
    "\n",
    "```bash\n",
    "gdalwarp [--help-general] [--formats]\n",
    "    [-s_srs srs_def] [-t_srs srs_def] [-to \"NAME=VALUE\"]* [-novshiftgrid]\n",
    "    [-order n | -tps | -rpc | -geoloc] [-et err_threshold]\n",
    "    [-refine_gcps tolerance [minimum_gcps]]\n",
    "    [-te xmin ymin xmax ymax] [-te_srs srs_def]\n",
    "    [-tr xres yres] [-tap] [-ts width height]\n",
    "    [-ovr level|AUTO|AUTO-n|NONE] [-wo \"NAME=VALUE\"] [-ot Byte/Int16/...] [-wt Byte/Int16]\n",
    "    [-srcnodata \"value [value...]\"] [-dstnodata \"value [value...]\"]\n",
    "    [-srcalpha|-nosrcalpha] [-dstalpha]\n",
    "    [-r resampling_method] [-wm memory_in_mb] [-multi] [-q]\n",
    "    [-cutline datasource] [-cl layer] [-cwhere expression]\n",
    "    [-csql statement] [-cblend dist_in_pixels] [-crop_to_cutline]\n",
    "    [-of format] [-co \"NAME=VALUE\"]* [-overwrite]\n",
    "    [-nomd] [-cvmd meta_conflict_value] [-setci] [-oo NAME=VALUE]*\n",
    "    [-doo NAME=VALUE]*\n",
    "    srcfile* dstfile\n",
    "```"
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   "source": [
    "## 1. Coordinate conversion"
   ]
  },
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   "source": [
    "GDAL's coordinate conversion engine is built on top of the PROJ.4 library (https://proj4.org/). We will walk through some examples of converting coordinates from one system to another. To keep things simple, we will use EPSG codes (http://www.epsg.org/) and PROJ.4 representations for commonly used coordinate systems. A table of commonly used systems on the WGS84 are shown below."
   ]
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    "<table>\n",
    "    <thead>\n",
    "        <tr>\n",
    "            <td>EPSG code</td><td>PROJ.4 string</td><td>Common name</td>\n",
    "        </tr>\n",
    "    </thead>\n",
    "    <tr>\n",
    "        <td>4326</td><td>+proj=longlat +datum=WGS84 +no_defs</td><td>WGS84 Lon/Lat</td>\n",
    "    </tr>\n",
    "    <tr>\n",
    "        <td>3031</td><td>+proj=stere +lat_0=-90 +lat_ts=-71 +lon_0=0 +k=1</td><td>Antarctic Polar Stereographic</td>\n",
    "    </tr>\n",
    "    <tr>\n",
    "        <td>3413</td><td>+proj=stere +lat_0=90 +lat_ts=70 +lon_0=-45 +k=1 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs</td><td>NSIDC Polar Stereographic North</td>\n",
    "    </tr>\n",
    "    <tr>\n",
    "        <td>32600+X</td><td>+proj=utm +zone=X +datum=WGS84 +units=m +no_defs</td><td>Standard UTM zone North</td>\n",
    "    </tr>\n",
    "    <tr>\n",
    "        <td>32700+X</td><td>+proj=utm +zone=X +south +datum=WGS84 +units=m +no_defs</td><td>Standard UTM zone South</td>\n",
    "    </tr>\n",
    "</table>        "
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   "source": [
    "We will use the **gdaltransform** utility to convert coordinates on the command line (https://www.gdal.org/gdaltransform.html). We will also demonstrate the programmatic way of converting coordinates using GDAL's python bindings."
   ]
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   "source": [
    "### a. Horizontal transformations"
   ]
  },
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   "source": [
    "Most common map transformations change the horizontal datum, i.e, the height axis is usually always considered to be normal to the Ellipsoid. This is the case with transformations between the systems listed above. \n",
    "\n",
    "Lets demonstrate this with the example of Polar Stereographic North (EPSG:3413) system, whose origin is at 90N, 45W and is often used for datasets over Greenland."
   ]
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     "text": [
      "0 0 0\r\n"
     ]
    }
   ],
   "source": [
    "#From lon/lat to polar\n",
    "!echo \"-45.0 90.0\" | gdaltransform -s_srs EPSG:4326 -t_srs EPSG:3413"
   ]
  },
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   "cell_type": "code",
   "execution_count": 4,
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-45 90 0\r\n"
     ]
    }
   ],
   "source": [
    "#from polar to lon/lat\n",
    "!echo \"0 0\" | gdaltransform -s_srs EPSG:3413 -t_srs EPSG:4326"
   ]
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    "##Programmatic method of coordinate transformation\n",
    "##We will use EPSG/PROJ.4. You can also use ImportFromProj or ImportFromWKT\n",
    "def getTransformers(inproj, outproj, epsg=True):\n",
    "    '''\n",
    "    inproj - Projection system 1\n",
    "    outproj - Projection system 2\n",
    "    '''\n",
    "    \n",
    "    proj1 = osr.SpatialReference()\n",
    "    if epsg:\n",
    "        proj1.ImportFromEPSG(int(inproj))\n",
    "    else:\n",
    "        proj1.ImportFromProj4(str(inproj))\n",
    "    \n",
    "    proj2 = osr.SpatialReference()\n",
    "    if epsg:\n",
    "        proj2.ImportFromEPSG(int(outproj))\n",
    "    else:\n",
    "        proj2.ImportFromProj4(str(outproj))\n",
    "    \n",
    "    fwd = osr.CoordinateTransformation(proj1, proj2)\n",
    "    inv = osr.CoordinateTransformation(proj2, proj1)\n",
    "    return fwd, inv"
   ]
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     "text": [
      "Forward:  (-12367396.21845986, 7.572846096361972e-10, 450.0)\n",
      "Inverse:  (-90.0, 0.0, -233.0)\n"
     ]
    }
   ],
   "source": [
    "###Create transformer for Antarctic Polar Stereographic\n",
    "fwdtrans, invtrans = getTransformers(4326, 3031)\n",
    "print('Forward: ', fwdtrans.TransformPoint(0., -90., 450.))\n",
    "print('Inverse: ', invtrans.TransformPoint(0., 0., -233.))"
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "We can also verify transformations against online calculators. For example, use this:\n",
    "http://www.rcn.montana.edu/resources/converter.aspx"
   ]
  },
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   "cell_type": "code",
   "execution_count": 7,
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     "name": "stdout",
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     "text": [
      "Forward:  (inf, inf, inf) [408746.7, 3873499.9]\n",
      "Inverse:  (35.00000043890117, -118.00000052219215, 0.0) [-118.0, 35.0]\n"
     ]
    }
   ],
   "source": [
    "lon, lat = -118.0, 35.0       ##Example point in CA\n",
    "xx, yy = 408746.7, 3873499.9  ##Coordinate from calculator above\n",
    "\n",
    "fwd, inv = getTransformers(4326, 32611)\n",
    "print('Forward: ', fwd.TransformPoint(lon,lat), [xx,yy])\n",
    "print('Inverse: ', inv.TransformPoint(xx, yy), [lon, lat])"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### b. Horizontal + vertical datum transformation"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Coordinate system transformation also supports some vertical datums (same as PROJ.4 vgrid). \n",
    "\n",
    "We will demonstrate this with the EGM96 grid. Remember that SRTM DEM is referenced to EGM96 geoid. This implies that zero height at the coast, does not necessarily mean zero ellipsoid height. For radar processing, we use all heights w.r.t to an Ellipsoid (for efficient computing).\n",
    "\n",
    "Some standard vertical datums also have their own EPSG codes. Shown below is the table for the 2 most commonly used geoids\n",
    "\n",
    "| EPSG code | Name of Geoid |  URL  | \n",
    "|-----------|---------------|-------|\n",
    "| 5773      | EGM 96|https://en.wikipedia.org/wiki/EGM96 |\n",
    "| 3885      | EGM 08|http://earth-info.nga.mil/GandG/wgs84/gravitymod/egm2008/egm08_wgs84.html |\n",
    "\n",
    "\n",
    "GDAL provides a short hand for representing geoid information with the EPSG code - EPSG:4326 + 5773 represents lon/lat horizontal datum and EGM96 vertical datum. We will quickly perform some transformations with this representation."
   ]
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   "execution_count": 8,
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     "text": [
      "\n",
      "PROJ.4 : +proj=longlat +datum=WGS84 +geoidgrids=us_nga_egm96_15.tif +vunits=m +no_defs\n",
      "\n",
      "OGC WKT2:2018 :\n",
      "COMPOUNDCRS[\"WGS 84 + EGM96 height\",\n",
      "    GEOGCRS[\"WGS 84\",\n",
      "        DATUM[\"World Geodetic System 1984\",\n",
      "            ELLIPSOID[\"WGS 84\",6378137,298.257223563,\n",
      "                LENGTHUNIT[\"metre\",1]]],\n",
      "        PRIMEM[\"Greenwich\",0,\n",
      "            ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
      "        CS[ellipsoidal,2],\n",
      "            AXIS[\"geodetic latitude (Lat)\",north,\n",
      "                ORDER[1],\n",
      "                ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
      "            AXIS[\"geodetic longitude (Lon)\",east,\n",
      "                ORDER[2],\n",
      "                ANGLEUNIT[\"degree\",0.0174532925199433]],\n",
      "        USAGE[\n",
      "            SCOPE[\"Horizontal component of 3D system.\"],\n",
      "            AREA[\"World.\"],\n",
      "            BBOX[-90,-180,90,180]],\n",
      "        ID[\"EPSG\",4326]],\n",
      "    VERTCRS[\"EGM96 height\",\n",
      "        VDATUM[\"EGM96 geoid\"],\n",
      "        CS[vertical,1],\n",
      "            AXIS[\"gravity-related height (H)\",up,\n",
      "                LENGTHUNIT[\"metre\",1]],\n",
      "        USAGE[\n",
      "            SCOPE[\"Geodesy.\"],\n",
      "            AREA[\"World.\"],\n",
      "            BBOX[-90,-180,90,180]],\n",
      "        ID[\"EPSG\",5773]]]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#Check PROJ.4 representation\n",
    "!gdalsrsinfo EPSG:4326+5773"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-118.506 34.015 0\r\n"
     ]
    }
   ],
   "source": [
    "# A point on the CA coast that reads zero height in SRTM data\n",
    "!echo \"-118.506 34.015\" | gdaltransform -s_srs EPSG:4326+5773 -t_srs EPSG:4326"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that for all radar processing, we use Ellipsoid heights. So for the point of interest above, we would use a DEM height of -36m for processing. \n",
    "\n",
    "We can now **gdalwarp** to quickly transform geoid heights to Ellipsoid heights and visualize the difference."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Creating output file that is 3600P x 3600L.\r\n",
      "Processing N34W120.tif [1/1] : 0ERROR 1: Cannot open /usr/share/proj/egm96_15.gtx.\r\n"
     ]
    }
   ],
   "source": [
    "#Note that this only works for a single band image.\n",
    "#For multi-band images, vertical datum is ignored.\n",
    "#The geoid grid needs to be explicitly specified for vertical transformation\n",
    "!gdalwarp -overwrite -of GTiff N34W120.tif N34W120_wgs84.tif -t_srs \"+proj=longlat +datum=WGS84 +vunits=m +no_defs +geoidgrids=/usr/share/proj/egm96_15.gtx\""
   ]
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       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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width=\"1200\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gDEM, ext = loadData('N34W120.tif')\n",
    "eDEM, ext = loadData('N34W120_wgs84.tif')\n",
    "fig = plt.figure(figsize=(12,6))\n",
    "ax1 = plt.subplot(1,3,1)\n",
    "im1 = ax1.imshow(eDEM, extent=ext)\n",
    "fig.colorbar(im1)\n",
    "ax1.set_xlabel('Ellipsoid height')\n",
    "ax2 = plt.subplot(1,3,2)\n",
    "im2 = ax2.imshow(eDEM-gDEM, extent=ext)\n",
    "fig.colorbar(im2)\n",
    "ax2.set_xlabel('EGM96')\n",
    "ax3 = plt.subplot(1,3,3)\n",
    "im3 = ax3.imshow(gDEM, extent=ext)\n",
    "fig.colorbar(im3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Reprojecting geocoded rasters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are numerous use cases where geocoded data needs to be reprojected. Some examples are listed below:\n",
    "\n",
    "1. A region of interest is too large for analysis with a single UTM zone (e.g, Landsat data). To create a large mosaic, reprojection is unavoidable.\n",
    "\n",
    "2. Putting together DEMs from different sources. SRTM only spans the latitudes from 60N to 60S. For Arctic regions, DEMs are typically distributed in Polar Stereographic coordinates. For processing, a single DEM would need to be built by projecting DEMs to a common system.\n",
    "\n",
    "3. Certain projections are more conducive for comparison against field datasets - e.g UTM zones where pixel dimensions can be directly related to area on ground.\n",
    "\n",
    "4. Combining data from different sources. For example, SRTM dataset is distributed in lat/lon coordinates whereas Landsat and Sentinel-2 is distributed in UTM/ Polar Stereographic coordinates.\n",
    "\n",
    "In this section, we will use **gdalwarp** to reproject data from one coordinate system to another. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### a. Simple reprojection"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The key flags for **gdalwarp** for reprojection are \n",
    "\n",
    "1. \"-t_srs\" option to indicate the output projection system \n",
    "2. \"-r\" option for the resampling algorithm\n",
    "3. \"-te\" option for the spatial extent of the output grid\n",
    "4. \"-tr\" option for controlling the spacing of the output grid (or) \"-ts\" option for output size"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To start, let's reproject the Greenland DEM to default output extent and spacing that is automatically determined for WGS84 lat/lon coordinates."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!gdalwarp -t_srs EPSG:4326 NETCDF:\"Greenland1km.nc\":topg -srcnodata None -dstnodata None -overwrite Greenland_ll_default.tif"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pdem, pext = loadData('NETCDF:\"Greenland1km.nc\":topg')\n",
    "ldem, lext = loadData('Greenland_ll_default.tif')\n",
    "\n",
    "plt.figure(figsize=(9,5))\n",
    "plt.subplot(1,2,1)\n",
    "plt.imshow(pdem, extent=pext)\n",
    "plt.subplot(1,2,2)\n",
    "plt.imshow(ldem, extent=lext)\n",
    "plt.show()\n",
    "print('Original DEM size: ', pdem.shape)\n",
    "print('Resampled DEM size: ', ldem.shape)\n",
    "pdem = None\n",
    "ldem = None"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### b. Resample with specific output spacing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Remember from the earlier exercise that the Greenland DEM was sampled at a spacing of about 1km. We can use a similar number for resampling. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!gdalwarp -t_srs EPSG:4326 -tr 0.06 0.01 -overwrite NETCDF:\"Greenland1km.nc\":topg -srcnodata None -dstnodata None Greenland_ll_similar.tif"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pdem, pext = loadData('NETCDF:\"Greenland1km.nc\":topg')\n",
    "ldem, lext = loadData('Greenland_ll_similar.tif')\n",
    "\n",
    "plt.figure(figsize=(9,5))\n",
    "plt.subplot(1,2,1)\n",
    "plt.imshow(pdem, extent=pext)\n",
    "plt.subplot(1,2,2)\n",
    "plt.imshow(ldem, extent=lext)\n",
    "plt.show()\n",
    "print('Original DEM size: ', pdem.shape)\n",
    "print('Resampled DEM size: ', ldem.shape)\n",
    "pdem = None\n",
    "ldem = None"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### c. Resampling to a predefined grid"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is a very useful feature to automatically output data to a grid that is self-consistent. Such grids typically are laid out in a manner where the starting coordinates are a multiple of pixel spacing. This is accomplished via the \"-tap\" option and most useful for efficient operations.\n",
    "\n",
    "Let's reproject subsets of a DEM to same coordinate system with and without \"-tap\" option and compare the output grids."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "##Lets subset without the -tap option\n",
    "!gdalwarp -of VRT -t_srs EPSG:32611 -te -119.8 34.3 -119.6 34.5 -te_srs EPSG:4326 -tr 100 100 N34W120.tif subset1.vrt\n",
    "!gdalwarp -of VRT -t_srs EPSG:32611 -te -119.9 34.2 -119.7 34.4 -te_srs EPSG:4326 -tr 100 100 N34W120.tif subset2.vrt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!gdalinfo subset1.vrt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!gdalinfo subset2.vrt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that the outputs are not aligned, i.e the top-left corners do not vary by a multiple of pixel spacing. Now, lets try with the \"-tap\" option."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "##Lets subset with the -tap option\n",
    "!gdalwarp -of VRT -t_srs EPSG:32611 -te -119.8 34.3 -119.6 34.5 -te_srs EPSG:4326 -tr 100 100 -tap N34W120.tif aligned_subset1.vrt\n",
    "!gdalwarp -of VRT -t_srs EPSG:32611 -te -119.9 34.2 -119.7 34.4 -te_srs EPSG:4326 -tr 100 100 -tap N34W120.tif aligned_subset2.vrt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!gdalinfo aligned_subset1.vrt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!gdalinfo aligned_subset2.vrt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that the top-left pixels now differ exactly by a multiple of the pixel spacing. These subsets can be easily overlaid on top of each other for analysis / comparison without additional processing."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Reproject swath data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the ISCE processing examples, you must have noticed that SAR imagery is not distributed on grids that is aligned North-South, West-East. The imaging grid is aligned to the track of the satellite or aircraft and these may not be perfectly North-South. GDAL provides two options for geocoding this type of dataset\n",
    "\n",
    "1. Ground Control Points (GCPs)\n",
    "2. Geolocation arrays"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### a. Geocoding using GCPs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the introductory tutorial on raster data, we have already seen that some data formats include support for GCPs. These represent a mapping between line/pixel and map coordinates. Over very flat terrain or over ocean / sea ice - this information is more than sufficient to geocode data reasonably accurately (think why???). We just outline the procedure in this tutorial due to time constraints. Users are encouraged to try this on their own."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```bash\n",
    "> gdalinfo /vsizip/S1A_IW_GRDH_1SDV_20170127T001111_20170127T001136_015010_01884A_9043.zip/S1A_IW_GRDH_1SDV_20170127T001111_20170127T001136_015010_01884A_9043.SAFE/measurement/s1a-iw-grd-vv-20170127t001111-20170127t001136-015010-01884a-001.tiff\n",
    "\n",
    "Driver: GTiff/GeoTIFF\n",
    "Files: /vsizip/S1A_IW_GRDH_1SDV_20170127T001111_20170127T001136_015010_01884A_9043.zip/S1A_IW_GRDH_1SDV_20170127T001111_20170127T001136_015010_01884A_9043.SAFE/measurement/s1a-iw-grd-vv-20170127t001111-20170127t001136-015010-01884a-001.tiff\n",
    "Size is 25505, 16729\n",
    "Coordinate System is `'\n",
    "GCP Projection =\n",
    "GEOGCS[\"WGS 84\",\n",
    "    DATUM[\"WGS_1984\",\n",
    "        SPHEROID[\"unnamed\",6378137,298.2572235604902,\n",
    "            AUTHORITY[\"EPSG\",\"4326\"]],\n",
    "        AUTHORITY[\"EPSG\",\"6326\"]],\n",
    "    PRIMEM[\"Greenwich\",0],\n",
    "    UNIT[\"degree\",0.0174532925199433],\n",
    "    AUTHORITY[\"EPSG\",\"4326\"]]\n",
    "GCP[  0]: Id=1, Info=\n",
    "          (0,0) -> (-94.005922908642,33.2767568872629,82.4891335545108)\n",
    "GCP[  1]: Id=2, Info=\n",
    "          (1276,0) -> (-93.8713725178248,33.298342788709,82.4890268715099)\n",
    "GCP[  2]: Id=3, Info=\n",
    "          (2552,0) -> (-93.736756133881,33.3197832475533,82.4889215333387)\n",
    "GCP[  3]: Id=4, Info=\n",
    "          (3828,0) -> (-93.6020741174325,33.3410780749001,82.4888174766675)\n",
    "GCP[  4]: Id=5, Info=\n",
    "          (5104,0) -> (-93.4673268317664,33.3622270828064,82.4887146400288)\n",
    "GCP[  5]: Id=6, Info=\n",
    "          (6380,0) -> (-93.3325146423635,33.3832300843644,82.4886129721999)\n",
    "GCP[  6]: Id=7, Info=\n",
    "          (7656,0) -> (-93.1976379167661,33.404086893728,82.4885124303401)\n",
    "GCP[  7]: Id=8, Info=\n",
    "          (8932,0) -> (-93.0626970245939,33.4247973261167,82.488412976265)\n",
    "GCP[  8]: Id=9, Info=\n",
    "          (10208,0) -> (-92.9276923375967,33.4453611978123,82.4883145680651)\n",
    "GCP[  9]: Id=10, Info=\n",
    "          (11484,0) -> (-92.7926242296921,33.4657783261598,82.4882171778008)\n",
    "GCP[ 10]: Id=11, Info=\n",
    "          (12760,0) -> (-92.6574930769715,33.4860485295715,82.4881207821891)\n",
    "GCP[ 11]: Id=12, Info=\n",
    "          (14036,0) -> (-92.5222992576794,33.5061716275367,82.4880253477022)\n",
    "GCP[ 12]: Id=13, Info=\n",
    "          (15312,0) -> (-92.387043152181,33.5261474406317,82.4879308547825)\n",
    "GCP[ 13]: Id=14, Info=\n",
    "          (16588,0) -> (-92.2517251429341,33.5459757905291,82.4878372829407)\n",
    "GCP[ 14]: Id=15, Info=\n",
    "          (17864,0) -> (-92.1163456144782,33.5656565000047,82.487744611688)\n",
    "GCP[ 15]: Id=16, Info=\n",
    "          (19140,0) -> (-91.9809049534456,33.5851893929409,82.4876528279856)\n",
    "GCP[ 16]: Id=17, Info=\n",
    "          (20416,0) -> (-91.845403548587,33.6045742943281,82.4875619197264)\n",
    "GCP[ 17]: Id=18, Info=\n",
    "          (21692,0) -> (-91.7098417907929,33.6238110302665,82.4874718654901)\n",
    "GCP[ 18]: Id=19, Info=\n",
    "          (22968,0) -> (-91.5742200730755,33.6428994279739,82.4873826541007)\n",
    "GCP[ 19]: Id=20, Info=\n",
    "          (24244,0) -> (-91.4385387904629,33.6618393158058,82.4872942790389)\n",
    "GCP[ 20]: Id=21, Info=\n",
    "          (25504,0) -> (-91.3045007790343,33.6803958180407,82.487207817845)\n",
    "GCP[ 21]: Id=22, Info=\n",
    "          (0,2008) -> (-94.047689959274,33.4574743168206,86.8307519014925)\n",
    "GCP[ 22]: Id=23, Info=\n",
    "          (1276,2008) -> (-93.9128610831397,33.4790567161726,86.8306398028508)\n",
    "GCP[ 23]: Id=24, Info=\n",
    "          (2552,2008) -> (-93.7779655913483,33.500492683175,86.8305291002616)\n",
    "GCP[ 24]: Id=25, Info=\n",
    "          (3828,2008) -> (-93.6430038546116,33.5217820267718,86.8304197173566)\n",
    "GCP[ 25]: Id=26, Info=\n",
    "          (5104,2008) -> (-93.507976245905,33.5429245569615,86.8303116057068)\n",
    "GCP[ 26]: Id=27, Info=\n",
    "          (6380,2008) -> (-93.3728831400487,33.563920084869,86.8302047140896)\n",
    "GCP[ 27]: Id=28, Info=\n",
    "          (7656,2008) -> (-93.2377249136249,33.5847684227625,86.8300989894196)\n",
    "GCP[ 28]: Id=29, Info=\n",
    "          (8932,2008) -> (-93.1025019450354,33.6054693840483,86.8299943935126)\n",
    "GCP[ 29]: Id=30, Info=\n",
    "          (10208,2008) -> (-92.9672146145922,33.6260227832614,86.8298908965662)\n",
    "GCP[ 30]: Id=31, Info=\n",
    "          (11484,2008) -> (-92.8318633045886,33.6464284360586,86.8297884585336)\n",
    "GCP[ 31]: Id=32, Info=\n",
    "          (12760,2008) -> (-92.696448399334,33.6666861592187,86.8296870533377)\n",
    "GCP[ 32]: Id=33, Info=\n",
    "          (14036,2008) -> (-92.5609702851583,33.686795770646,86.8295866586268)\n",
    "GCP[ 33]: Id=34, Info=\n",
    "          (15312,2008) -> (-92.4254293504009,33.7067570893768,86.8294872529805)\n",
    "GCP[ 34]: Id=35, Info=\n",
    "          (16588,2008) -> (-92.2898259854009,33.7265699355856,86.8293888093904)\n",
    "GCP[ 35]: Id=36, Info=\n",
    "          (17864,2008) -> (-92.1541605825019,33.7462341305888,86.8292913101614)\n",
    "GCP[ 36]: Id=37, Info=\n",
    "          (19140,2008) -> (-92.0184335360754,33.7657494968454,86.8291947441176)\n",
    "GCP[ 37]: Id=38, Info=\n",
    "          (20416,2008) -> (-91.8826452425569,33.7851158579568,86.8290990917012)\n",
    "GCP[ 38]: Id=39, Info=\n",
    "          (21692,2008) -> (-91.7467961004747,33.8043330386673,86.8290043342859)\n",
    "GCP[ 39]: Id=40, Info=\n",
    "          (22968,2008) -> (-91.6108865104378,33.8234008648703,86.8289104709402)\n",
    "GCP[ 40]: Id=41, Info=\n",
    "          (24244,2008) -> (-91.474916875033,33.8423191636278,86.8288174821064)\n",
    "GCP[ 41]: Id=42, Info=\n",
    "          (25504,2008) -> (-91.3405936623981,33.8608533477523,86.8287265086547)\n",
    "GCP[ 42]: Id=43, Info=\n",
    "          (0,4016) -> (-94.0896851063414,33.6381587216162,83.1414270717651)\n",
    "GCP[ 43]: Id=44, Info=\n",
    "          (1276,4016) -> (-93.9545737968323,33.6597382189906,83.1413188902661)\n",
    "GCP[ 44]: Id=45, Info=\n",
    "          (2552,4016) -> (-93.8193953343885,33.6811702724005,83.1412120880559)\n",
    "GCP[ 45]: Id=46, Info=\n",
    "          (3828,4016) -> (-93.6841500913544,33.7024546902725,83.1411065980792)\n",
    "GCP[ 46]: Id=47, Info=\n",
    "          (5104,4016) -> (-93.5488384429507,33.7235912819923,83.1410023635253)\n",
    "GCP[ 47]: Id=48, Info=\n",
    "          (6380,4016) -> (-93.4134607667759,33.7445798579914,83.1408993322402)\n",
    "GCP[ 48]: Id=49, Info=\n",
    "          (7656,4016) -> (-93.2780174426532,33.7654202297782,83.1407974530011)\n",
    "GCP[ 49]: Id=50, Info=\n",
    "          (8932,4016) -> (-93.1425088526288,33.7861122099448,83.1406966922805)\n",
    "GCP[ 50]: Id=51, Info=\n",
    "          (10208,4016) -> (-93.0069353810106,33.8066556121666,83.1405970100313)\n",
    "GCP[ 51]: Id=52, Info=\n",
    "          (11484,4016) -> (-92.8712974143956,33.827050251205,83.1404983736575)\n",
    "GCP[ 52]: Id=53, Info=\n",
    "          (12760,4016) -> (-92.7355953416676,33.847295942914,83.1404007524252)\n",
    "GCP[ 53]: Id=54, Info=\n",
    "          (14036,4016) -> (-92.5998295539722,33.86739250425,83.1403041221201)\n",
    "GCP[ 54]: Id=55, Info=\n",
    "          (15312,4016) -> (-92.4640004446803,33.8873397532833,83.1402084585279)\n",
    "GCP[ 55]: Id=56, Info=\n",
    "          (16588,4016) -> (-92.3281084093585,33.9071375092078,83.1401137458161)\n",
    "GCP[ 56]: Id=57, Info=\n",
    "          (17864,4016) -> (-92.1921538457568,33.9267855923485,83.1400199588388)\n",
    "GCP[ 57]: Id=58, Info=\n",
    "          (19140,4016) -> (-92.0561371538186,33.9462838241655,83.139927085489)\n",
    "GCP[ 58]: Id=59, Info=\n",
    "          (20416,4016) -> (-91.9200587357033,33.9656320272558,83.139835103415)\n",
    "GCP[ 59]: Id=60, Info=\n",
    "          (21692,4016) -> (-91.7839189958028,33.9848300253565,83.1397440042347)\n",
    "GCP[ 60]: Id=61, Info=\n",
    "          (22968,4016) -> (-91.6477183407148,34.0038776433544,83.1396537711844)\n",
    "GCP[ 61]: Id=62, Info=\n",
    "          (24244,4016) -> (-91.5114571791219,34.0227747073074,83.1395643977448)\n",
    "GCP[ 62]: Id=63, Info=\n",
    "          (25504,4016) -> (-91.3768456493388,34.0412869145492,83.1394769735634)\n",
    "GCP[ 63]: Id=64, Info=\n",
    "          (0,6024) -> (-94.1314913043126,33.8188767279123,94.8706692503765)\n",
    "GCP[ 64]: Id=65, Info=\n",
    "          (1276,6024) -> (-93.9960966137392,33.8404529544535,94.8705469993874)\n",
    "GCP[ 65]: Id=66, Info=\n",
    "          (2552,6024) -> (-93.8606341419723,33.8618807384932,94.8704262357205)\n",
    "GCP[ 66]: Id=67, Info=\n",
    "          (3828,6024) -> (-93.7251042712821,33.8831598863366,94.8703068885952)\n",
    "GCP[ 67]: Id=68, Info=\n",
    "          (5104,6024) -> (-93.5895073864032,33.9042902053498,94.8701889030635)\n",
    "GCP[ 68]: Id=69, Info=\n",
    "          (6380,6024) -> (-93.4538438741112,33.9252715040336,94.8700722213835)\n",
    "GCP[ 69]: Id=70, Info=\n",
    "          (7656,6024) -> (-93.3181141231331,33.9461035920414,94.8699568007141)\n",
    "GCP[ 70]: Id=71, Info=\n",
    "          (8932,6024) -> (-93.1823185241957,33.9667862801773,94.8698425991461)\n",
    "GCP[ 71]: Id=72, Info=\n",
    "          (10208,6024) -> (-93.0464574701047,33.9873193803885,94.8697295757011)\n",
    "GCP[ 72]: Id=73, Info=\n",
    "          (11484,6024) -> (-92.9105313558033,34.0077027057613,94.8696177061647)\n",
    "GCP[ 73]: Id=74, Info=\n",
    "          (12760,6024) -> (-92.7745405783956,34.0279360705236,94.8695069514215)\n",
    "GCP[ 74]: Id=75, Info=\n",
    "          (14036,6024) -> (-92.638485537139,34.0480192900511,94.8693972947076)\n",
    "GCP[ 75]: Id=76, Info=\n",
    "          (15312,6024) -> (-92.5023666334231,34.0679521808751,94.869288709946)\n",
    "GCP[ 76]: Id=77, Info=\n",
    "          (16588,6024) -> (-92.3661842707519,34.0877345606912,94.8691811719909)\n",
    "GCP[ 77]: Id=78, Info=\n",
    "          (17864,6024) -> (-92.2299388547413,34.1073662483635,94.8690746631473)\n",
    "GCP[ 78]: Id=79, Info=\n",
    "          (19140,6024) -> (-92.093630793139,34.1268470639269,94.8689691703767)\n",
    "GCP[ 79]: Id=80, Info=\n",
    "          (20416,6024) -> (-91.9572604958582,34.1461768285875,94.8688646741211)\n",
    "GCP[ 80]: Id=81, Info=\n",
    "          (21692,6024) -> (-91.8208283750074,34.1653553647229,94.8687611622736)\n",
    "GCP[ 81]: Id=82, Info=\n",
    "          (22968,6024) -> (-91.6843348448802,34.1843824958893,94.8686586217955)\n",
    "GCP[ 82]: Id=83, Info=\n",
    "          (24244,6024) -> (-91.5477803218575,34.2032580468394,94.8685570405796)\n",
    "GCP[ 83]: Id=84, Info=\n",
    "          (25504,6024) -> (-91.4128786394285,34.2217480026286,94.868457662873)\n",
    "GCP[ 84]: Id=85, Info=\n",
    "          (0,8032) -> (-94.1726812320393,33.9996951265157,145.826850661077)\n",
    "GCP[ 85]: Id=86, Info=\n",
    "          (1276,8032) -> (-94.037000633364,34.0212674230856,145.826668350957)\n",
    "GCP[ 86]: Id=87, Info=\n",
    "          (2552,8032) -> (-93.9012516560656,34.0426902688802,145.826487941667)\n",
    "GCP[ 87]: Id=88, Info=\n",
    "          (3828,8032) -> (-93.7654346892336,34.0639634686949,145.826309361495)\n",
    "GCP[ 88]: Id=89, Info=\n",
    "          (5104,8032) -> (-93.6295501244325,34.0850868284084,145.826132549904)\n",
    "GCP[ 89]: Id=90, Info=\n",
    "          (6380,8032) -> (-93.4935983552818,34.1060601550547,145.825957460329)\n",
    "GCP[ 90]: Id=91, Info=\n",
    "          (7656,8032) -> (-93.3575797773681,34.126883256842,145.825784043409)\n",
    "GCP[ 91]: Id=92, Info=\n",
    "          (8932,8032) -> (-93.2214947882966,34.1475559431492,145.825612259097)\n",
    "GCP[ 92]: Id=93, Info=\n",
    "          (10208,8032) -> (-93.0853437877728,34.1680780245185,145.825442066416)\n",
    "GCP[ 93]: Id=94, Info=\n",
    "          (11484,8032) -> (-92.9491271776626,34.188449312651,145.825273439288)\n",
    "GCP[ 94]: Id=95, Info=\n",
    "          (12760,8032) -> (-92.8128453620176,34.2086696204089,145.825106347911)\n",
    "GCP[ 95]: Id=96, Info=\n",
    "          (14036,8032) -> (-92.67649874707,34.2287387618212,145.824940763414)\n",
    "GCP[ 96]: Id=97, Info=\n",
    "          (15312,8032) -> (-92.5400877412122,34.2486565520923,145.824776669964)\n",
    "GCP[ 97]: Id=98, Info=\n",
    "          (16588,8032) -> (-92.4036127549806,34.2684228076089,145.824614039622)\n",
    "GCP[ 98]: Id=99, Info=\n",
    "          (17864,8032) -> (-92.2670742010541,34.2880373459456,145.824452857487)\n",
    "GCP[ 99]: Id=100, Info=\n",
    "          (19140,8032) -> (-92.1304724942741,34.3074999858663,145.824293107726)\n",
    "GCP[100]: Id=101, Info=\n",
    "          (20416,8032) -> (-91.9938080516782,34.3268105473252,145.824134772643)\n",
    "GCP[101]: Id=102, Info=\n",
    "          (21692,8032) -> (-91.8570812925285,34.3459688514672,145.823977841064)\n",
    "GCP[102]: Id=103, Info=\n",
    "          (22968,8032) -> (-91.7202926382989,34.3649747206351,145.823822300881)\n",
    "GCP[103]: Id=104, Info=\n",
    "          (24244,8032) -> (-91.5834425125734,34.3838279783886,145.823668140918)\n",
    "GCP[104]: Id=105, Info=\n",
    "          (25504,8032) -> (-91.4482484714778,34.4022949074902,145.823517258279)\n",
    "GCP[105]: Id=106, Info=\n",
    "          (0,10040) -> (-94.2139238725098,34.1805072851632,198.548701436259)\n",
    "GCP[106]: Id=107, Info=\n",
    "          (1276,10040) -> (-94.0779547882432,34.2020757807732,198.548456720077)\n",
    "GCP[107]: Id=108, Info=\n",
    "          (2552,10040) -> (-93.9419167279478,34.2234938122191,198.548214334995)\n",
    "GCP[108]: Id=109, Info=\n",
    "          (3828,10040) -> (-93.805810087086,34.2447611828731,198.547974212095)\n",
    "GCP[109]: Id=110, Info=\n",
    "          (5104,10040) -> (-93.6696352636983,34.2658776971961,198.54773629643)\n",
    "GCP[110]: Id=111, Info=\n",
    "          (6380,10040) -> (-93.5333926579617,34.2868431608136,198.547500534914)\n",
    "GCP[111]: Id=112, Info=\n",
    "          (7656,10040) -> (-93.3970826720872,34.307657380537,198.54726688005)\n",
    "GCP[112]: Id=113, Info=\n",
    "          (8932,10040) -> (-93.2607057103604,34.3283201643619,198.547035292722)\n",
    "GCP[113]: Id=114, Info=\n",
    "          (10208,10040) -> (-93.124262179218,34.3488313214617,198.546805738471)\n",
    "GCP[114]: Id=115, Info=\n",
    "          (11484,10040) -> (-92.9877524873046,34.3691906621842,198.546578184702)\n",
    "GCP[115]: Id=116, Info=\n",
    "          (12760,10040) -> (-92.851177045497,34.3893979980535,198.546352600679)\n",
    "GCP[116]: Id=117, Info=\n",
    "          (14036,10040) -> (-92.7145362668988,34.4094531417768,198.546128966846)\n",
    "GCP[117]: Id=118, Info=\n",
    "          (15312,10040) -> (-92.5778305668214,34.4293559072516,198.545907253399)\n",
    "GCP[118]: Id=119, Info=\n",
    "          (16588,10040) -> (-92.4410603627686,34.4491061095739,198.545687450096)\n",
    "GCP[119]: Id=120, Info=\n",
    "          (17864,10040) -> (-92.3042260744354,34.4687035650432,198.545469530858)\n",
    "GCP[120]: Id=121, Info=\n",
    "          (19140,10040) -> (-92.1673281237276,34.4881480911647,198.545253487304)\n",
    "GCP[121]: Id=122, Info=\n",
    "          (20416,10040) -> (-92.0303669347938,34.5074395066495,198.545039299875)\n",
    "GCP[122]: Id=123, Info=\n",
    "          (21692,10040) -> (-91.8933429340491,34.5265776314174,198.544826953672)\n",
    "GCP[123]: Id=124, Info=\n",
    "          (22968,10040) -> (-91.7562565501562,34.5455622866038,198.54461644683)\n",
    "GCP[124]: Id=125, Info=\n",
    "          (24244,10040) -> (-91.6191082139124,34.5643932945809,198.544407761656)\n",
    "GCP[125]: Id=126, Info=\n",
    "          (25504,10040) -> (-91.4836192368266,34.5828372353663,198.544203476049)\n",
    "GCP[126]: Id=127, Info=\n",
    "          (0,12048) -> (-94.25432309759,34.3614557730504,302.946729348972)\n",
    "GCP[127]: Id=128, Info=\n",
    "          (1276,12048) -> (-94.1180621814358,34.383019675634,302.946361161768)\n",
    "GCP[128]: Id=129, Info=\n",
    "          (2552,12048) -> (-93.9817317837367,34.4044320795243,302.945996158756)\n",
    "GCP[129]: Id=130, Info=\n",
    "          (3828,12048) -> (-93.8453322976822,34.4256927883587,302.945634277537)\n",
    "GCP[130]: Id=131, Info=\n",
    "          (5104,12048) -> (-93.7088641201605,34.4468016066707,302.945275451057)\n",
    "GCP[131]: Id=132, Info=\n",
    "          (6380,12048) -> (-93.5723276511671,34.4677583399954,302.944919633679)\n",
    "GCP[132]: Id=133, Info=\n",
    "          (7656,12048) -> (-93.4357232935763,34.4885627949145,302.944566783495)\n",
    "GCP[133]: Id=134, Info=\n",
    "          (8932,12048) -> (-93.2990514530748,34.5092147790767,302.94421685487)\n",
    "GCP[134]: Id=135, Info=\n",
    "          (10208,12048) -> (-93.1623125381443,34.5297141012091,302.943869820796)\n",
    "GCP[135]: Id=136, Info=\n",
    "          (11484,12048) -> (-93.0255069600393,34.5500605711292,302.943525647745)\n",
    "GCP[136]: Id=137, Info=\n",
    "          (12760,12048) -> (-92.8886351327418,34.5702539997606,302.943184312433)\n",
    "GCP[137]: Id=138, Info=\n",
    "          (14036,12048) -> (-92.7516974728963,34.5902941991506,302.942845787853)\n",
    "GCP[138]: Id=139, Info=\n",
    "          (15312,12048) -> (-92.6146943997393,34.6101809824883,302.94251004979)\n",
    "GCP[139]: Id=140, Info=\n",
    "          (16588,12048) -> (-92.4776263350394,34.6299141641203,302.942177088931)\n",
    "GCP[140]: Id=141, Info=\n",
    "          (17864,12048) -> (-92.3404937030593,34.6494935595636,302.941846882924)\n",
    "GCP[141]: Id=142, Info=\n",
    "          (19140,12048) -> (-92.203296930544,34.6689189855134,302.941519422457)\n",
    "GCP[142]: Id=143, Info=\n",
    "          (20416,12048) -> (-92.0660364467276,34.6881902598488,302.941194689833)\n",
    "GCP[143]: Id=144, Info=\n",
    "          (21692,12048) -> (-91.9287126833378,34.7073072016389,302.940872677602)\n",
    "GCP[144]: Id=145, Info=\n",
    "          (22968,12048) -> (-91.7913260745629,34.7262696311536,302.940553373657)\n",
    "GCP[145]: Id=146, Info=\n",
    "          (24244,12048) -> (-91.6538770569317,34.7450773698865,302.940236770548)\n",
    "GCP[146]: Id=147, Info=\n",
    "          (25504,12048) -> (-91.5180907266005,34.7634973083089,302.93992678076)\n",
    "GCP[147]: Id=148, Info=\n",
    "          (0,14056) -> (-94.2969246946118,34.5420594060516,289.679583688267)\n",
    "GCP[148]: Id=149, Info=\n",
    "          (1276,14056) -> (-94.1603681371615,34.5636216263085,289.679230171256)\n",
    "GCP[149]: Id=150, Info=\n",
    "          (2552,14056) -> (-94.0237415667509,34.5850313088514,289.678879768588)\n",
    "GCP[150]: Id=151, Info=\n",
    "          (3828,14056) -> (-93.8870453754225,34.6062882573308,289.678532412276)\n",
    "GCP[151]: Id=152, Info=\n",
    "          (5104,14056) -> (-93.7502799599306,34.6273922761226,289.678188038059)\n",
    "GCP[152]: Id=153, Info=\n",
    "          (6380,14056) -> (-93.6134457210128,34.6483431704603,289.677846601233)\n",
    "GCP[153]: Id=154, Info=\n",
    "          (7656,14056) -> (-93.4765430630425,34.6691407465041,289.677508051507)\n",
    "GCP[154]: Id=155, Info=\n",
    "          (8932,14056) -> (-93.3395723938599,34.6897848113797,289.677172348835)\n",
    "GCP[155]: Id=156, Info=\n",
    "          (10208,14056) -> (-93.2025341246687,34.710275173207,289.676839462481)\n",
    "GCP[156]: Id=157, Info=\n",
    "          (11484,14056) -> (-93.0654286699406,34.7306116411265,289.676509361714)\n",
    "GCP[157]: Id=158, Info=\n",
    "          (12760,14056) -> (-92.9282564473089,34.7507940253259,289.67618201673)\n",
    "GCP[158]: Id=159, Info=\n",
    "          (14036,14056) -> (-92.7910178774539,34.7708221370681,289.675857400522)\n",
    "GCP[159]: Id=160, Info=\n",
    "          (15312,14056) -> (-92.6537133839908,34.7906957887171,289.675535497256)\n",
    "GCP[160]: Id=161, Info=\n",
    "          (16588,14056) -> (-92.5163433933767,34.8104147937606,289.675216287374)\n",
    "GCP[161]: Id=162, Info=\n",
    "          (17864,14056) -> (-92.378908334844,34.829978966828,289.674899755977)\n",
    "GCP[162]: Id=163, Info=\n",
    "          (19140,14056) -> (-92.2414086403649,34.8493881237039,289.674585882574)\n",
    "GCP[163]: Id=164, Info=\n",
    "          (20416,14056) -> (-92.1038447446349,34.8686420813381,289.674274659716)\n",
    "GCP[164]: Id=165, Info=\n",
    "          (21692,14056) -> (-91.9662170850546,34.8877406578559,289.673966070637)\n",
    "GCP[165]: Id=166, Info=\n",
    "          (22968,14056) -> (-91.8285261016697,34.9066836725741,289.673660114408)\n",
    "GCP[166]: Id=167, Info=\n",
    "          (24244,14056) -> (-91.6907722370178,34.9254709460289,289.6733567724)\n",
    "GCP[167]: Id=168, Info=\n",
    "          (25504,14056) -> (-91.5546844246163,34.943869644052,289.673059795983)\n",
    "GCP[168]: Id=169, Info=\n",
    "          (0,16064) -> (-94.3390836183297,34.7227358640494,306.064091209322)\n",
    "GCP[169]: Id=170, Info=\n",
    "          (1276,16064) -> (-94.2022389900078,34.7442943444211,306.063717443496)\n",
    "GCP[170]: Id=171, Info=\n",
    "          (2552,16064) -> (-94.0653231775186,34.7656993670926,306.063346951269)\n",
    "GCP[171]: Id=172, Info=\n",
    "          (3828,16064) -> (-93.9283366316392,34.7869507241728,306.062979667448)\n",
    "GCP[172]: Id=173, Info=\n",
    "          (5104,16064) -> (-93.7912798016242,34.8080482097263,306.062615531497)\n",
    "GCP[173]: Id=174, Info=\n",
    "          (6380,16064) -> (-93.654153135386,34.828991619729,306.062254494056)\n",
    "GCP[174]: Id=175, Info=\n",
    "          (7656,16064) -> (-93.5169570799065,34.8497807519904,306.061896506697)\n",
    "GCP[175]: Id=176, Info=\n",
    "          (8932,16064) -> (-93.3796920817076,34.870415406069,306.061541529372)\n",
    "GCP[176]: Id=177, Info=\n",
    "          (10208,16064) -> (-93.2423585872865,34.8908953831972,306.061189531349)\n",
    "GCP[177]: Id=178, Info=\n",
    "          (11484,16064) -> (-93.1049570434748,34.9112204862197,306.06084048003)\n",
    "GCP[178]: Id=179, Info=\n",
    "          (12760,16064) -> (-92.9674878977178,34.9313905195468,306.060494344682)\n",
    "GCP[179]: Id=180, Info=\n",
    "          (14036,16064) -> (-92.8299515982852,34.9514052891187,306.060151105747)\n",
    "GCP[180]: Id=181, Info=\n",
    "          (15312,16064) -> (-92.6923485944371,34.9712646023787,306.059810741805)\n",
    "GCP[181]: Id=182, Info=\n",
    "          (16588,16064) -> (-92.5546793365657,34.9909682682498,306.059473229572)\n",
    "GCP[182]: Id=183, Info=\n",
    "          (17864,16064) -> (-92.416944276331,35.0105160971143,306.059138556942)\n",
    "GCP[183]: Id=184, Info=\n",
    "          (19140,16064) -> (-92.2791438667984,35.0299079007933,306.058806712739)\n",
    "GCP[184]: Id=185, Info=\n",
    "          (20416,16064) -> (-92.141278562573,35.0491434925276,306.058477675542)\n",
    "GCP[185]: Id=186, Info=\n",
    "          (21692,16064) -> (-92.0033488199136,35.068222686963,306.058151436038)\n",
    "GCP[186]: Id=187, Info=\n",
    "          (22968,16064) -> (-91.8653550967926,35.0871453001428,306.057827989571)\n",
    "GCP[187]: Id=188, Info=\n",
    "          (24244,16064) -> (-91.7272978528524,35.1059111495157,306.057507327758)\n",
    "GCP[188]: Id=189, Info=\n",
    "          (25504,16064) -> (-91.5909098537345,35.1242876858511,306.057193404995)\n",
    "GCP[189]: Id=190, Info=\n",
    "          (0,16728) -> (-94.3542122503434,34.782295044955,246.882710632868)\n",
    "GCP[190]: Id=191, Info=\n",
    "          (1276,16728) -> (-94.2172619912602,34.8038552608933,246.882406512275)\n",
    "GCP[191]: Id=192, Info=\n",
    "          (2552,16728) -> (-94.080240740657,34.8252615995711,246.882105198689)\n",
    "GCP[192]: Id=193, Info=\n",
    "          (3828,16728) -> (-93.9431489136834,34.8465138598918,246.881806625053)\n",
    "GCP[193]: Id=194, Info=\n",
    "          (5104,16728) -> (-93.8059869285803,34.8676118418325,246.881510730833)\n",
    "GCP[194]: Id=195, Info=\n",
    "          (6380,16728) -> (-93.6687552061895,34.8885553465287,246.881217458285)\n",
    "GCP[195]: Id=196, Info=\n",
    "          (7656,16728) -> (-93.5314541698086,34.9093441763043,246.88092676457)\n",
    "GCP[196]: Id=197, Info=\n",
    "          (8932,16728) -> (-93.3940842451943,34.929978134678,246.880638615228)\n",
    "GCP[197]: Id=198, Info=\n",
    "          (10208,16728) -> (-93.2566458606044,34.9504570263632,246.880352959037)\n",
    "GCP[198]: Id=199, Info=\n",
    "          (11484,16728) -> (-93.1191394468253,34.9707806572715,246.880069776438)\n",
    "GCP[199]: Id=200, Info=\n",
    "          (12760,16728) -> (-92.9815654371698,34.9909488345194,246.879789030179)\n",
    "GCP[200]: Id=201, Info=\n",
    "          (14036,16728) -> (-92.8439242674496,35.0109613664389,246.879510701634)\n",
    "GCP[201]: Id=202, Info=\n",
    "          (15312,16728) -> (-92.7062163759374,35.0308180625903,246.879234765656)\n",
    "GCP[202]: Id=203, Info=\n",
    "          (16588,16728) -> (-92.5684422033351,35.050518733772,246.878961206414)\n",
    "GCP[203]: Id=204, Info=\n",
    "          (17864,16728) -> (-92.4306021927598,35.0700631920292,246.878689996898)\n",
    "GCP[204]: Id=205, Info=\n",
    "          (19140,16728) -> (-92.2926967897523,35.0894512506582,246.878421133384)\n",
    "GCP[205]: Id=206, Info=\n",
    "          (20416,16728) -> (-92.1547264422987,35.1086827242094,246.878154591657)\n",
    "GCP[206]: Id=207, Info=\n",
    "          (21692,16728) -> (-92.0166916008444,35.1277574284911,246.87789036613)\n",
    "GCP[207]: Id=208, Info=\n",
    "          (22968,16728) -> (-91.8785927182643,35.1466751805799,246.8776284419)\n",
    "GCP[208]: Id=209, Info=\n",
    "          (24244,16728) -> (-91.7404302497364,35.1654357988433,246.877368811518)\n",
    "GCP[209]: Id=210, Info=\n",
    "          (25504,16728) -> (-91.6039382777295,35.1838068073759,246.877114677802)\n",
    "Metadata:\n",
    "  AREA_OR_POINT=Area\n",
    "  TIFFTAG_DATETIME=2017:01:27 08:07:14\n",
    "  TIFFTAG_IMAGEDESCRIPTION=Sentinel-1A IW GRD HR L1\n",
    "  TIFFTAG_SOFTWARE=Sentinel-1 IPF 002.72\n",
    "Image Structure Metadata:\n",
    "  INTERLEAVE=BAND\n",
    "Corner Coordinates:\n",
    "Upper Left  (    0.0,    0.0)\n",
    "Lower Left  (    0.0,16729.0)\n",
    "Upper Right (25505.0,    0.0)\n",
    "Lower Right (25505.0,16729.0)\n",
    "Center      (12752.5, 8364.5)\n",
    "Band 1 Block=25505x1 Type=UInt16, ColorInterp=Gray\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To geocode this dataset on a uniform lat/lon grid, we can use \n",
    "\n",
    "```bash\n",
    "> gdalwarp -t_srs EPSG:4326 -tr 0.003 0.003 -r average /vsizip/S1A_IW_GRDH_1SDV_20170127T001111_20170127T001136_015010_01884A_9043.zip/S1A_IW_GRDH_1SDV_20170127T001111_20170127T001136_015010_01884A_9043.SAFE/measurement/s1a-iw-grd-vv-20170127t001111-20170127t001136-015010-01884a-001.tiff  geocoded_with_gcp.tif\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are other input options like the order of polynomial (\"-order\") and thin plate transformer (\"-tps\") that allow for further control on geocoding using GCPs."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### b. Geocoding using geolocation arrays"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*Note that this section requires you to have processed an interferogram!*\n",
    "\n",
    "In this section we will provide programmatic examples of how pixel-by-pixel lon/lat or x/y arrays for swath imagery can be used for directly geocoding the data without any specialized radar processing tools. Note that ISCE already generates these files as part of the \"topo\" processing step in stripmapApp.py or topsApp.py. The main requirement is that these lon/lat or x/y arrays have the same dimensions as the raster image that you are trying to geocode. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Locating a pixel with known location in a SAR/InSAR image"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Before moving to geocoding entire images, we often encounter the use case where people want to quickly identify a known feature (say a GPS station or a building) in a radar image. This is often challenging without tools specialized for radar processing. However, if geolocation arrays are available with the radar image- this can be easily accomplished using GDAL's coordinate transformation features. We will demonstrate this with an example."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have included the outputs from a stripmapApp.py processing run in the subfolder named **stripmap**. This is a pair processed over Hawaii. Location 119.7429N, -155.0750E represents the tip of an ocean wall near the Hilo airport (using Google Earth). We will try to locate this pixel in the full resolution correlation image in radar coordinates (topophase.cor.full). We will use the full resolution lat (lat.rdr.full) and lon (lon.rdr.full) files for this. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def radarGeometryTransformer(infile, latfile, lonfile, epsg=4326):\n",
    "    '''\n",
    "    Create a coordinate transformer to convert map coordinates to radar image line/pixels.\n",
    "    '''\n",
    "    \n",
    "    driver = gdal.GetDriverByName('VRT')\n",
    "    inds = gdal.OpenShared(infile, gdal.GA_ReadOnly)\n",
    "    tempds = driver.Create('', inds.RasterXSize, inds.RasterYSize, 0)\n",
    "    inds = None\n",
    "    \n",
    "    tempds.SetMetadata({'SRS' : 'EPSG:{0}'.format(epsg),\n",
    "                        'X_DATASET': lonfile,\n",
    "                        'X_BAND' : '1',\n",
    "                        'Y_DATASET': latfile,\n",
    "                        'Y_BAND' : '1',\n",
    "                        'PIXEL_OFFSET' : '0',\n",
    "                        'LINE_OFFSET' : '0',\n",
    "                        'PIXEL_STEP' : '1',\n",
    "                        'LINE_STEP' : '1'}, 'GEOLOCATION')\n",
    "    \n",
    "    trans = gdal.Transformer( tempds, None, ['METHOD=GEOLOC_ARRAY'])\n",
    "    \n",
    "    return trans    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "###Lets create a transformer for our dataset and test\n",
    "trans = radarGeometryTransformer('stripmap/geometry/z.rdr.full.vrt', \n",
    "                                 'stripmap/geometry/lat.rdr.full.vrt',\n",
    "                                 'stripmap/geometry/lon.rdr.full.vrt')\n",
    "\n",
    "###Checkour our location of interest\n",
    "success, location = trans.TransformPoint(1, -155.0750, 19.7429, 0.)\n",
    "if not success:\n",
    "    print('Location outside the geolocation array range')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "###Lets plot this on a raster to confirm the peak location\n",
    "data, ext = loadData('stripmap/geometry/z.rdr.full.vrt')\n",
    "plt.figure()\n",
    "plt.imshow(data)\n",
    "plt.scatter(location[0], location[1], marker='+', c='r')\n",
    "plt.show()\n",
    "data = None"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Geocoding a full image"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can use the geolocation arrays mechanism to geocode the entire image using the standard **gdalwarp** interface. We will achieve this by creating a VRT file with the same information as the python function shown above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def geocodeUsingGdalWarp(infile, latfile, lonfile, outfile,\n",
    "                         insrs=4326, outsrs=None,\n",
    "                         spacing=None, fmt='GTiff', bounds=None,\n",
    "                         method='near'):\n",
    "    '''\n",
    "    Geocode a swath file using corresponding lat, lon files\n",
    "    '''\n",
    "    sourcexmltmpl = '''    <SimpleSource>\n",
    "      <SourceFilename>{0}</SourceFilename>\n",
    "      <SourceBand>{1}</SourceBand>\n",
    "    </SimpleSource>'''\n",
    "    \n",
    "    driver = gdal.GetDriverByName('VRT')\n",
    "    tempvrtname = 'stripmap/geocode.vrt'\n",
    "    inds = gdal.OpenShared(infile, gdal.GA_ReadOnly)\n",
    "    \n",
    "    tempds = driver.Create(tempvrtname, inds.RasterXSize, inds.RasterYSize, 0)\n",
    "    \n",
    "    for ii in range(inds.RasterCount):\n",
    "        band = inds.GetRasterBand(1)\n",
    "        tempds.AddBand(band.DataType)\n",
    "        tempds.GetRasterBand(ii+1).SetMetadata({'source_0': sourcexmltmpl.format(infile, ii+1)}, 'vrt_sources')\n",
    "  \n",
    "    sref = osr.SpatialReference()\n",
    "    sref.ImportFromEPSG(insrs)\n",
    "    srswkt = sref.ExportToWkt()\n",
    "\n",
    "    tempds.SetMetadata({'SRS' : srswkt,\n",
    "                        'X_DATASET': lonfile,\n",
    "                        'X_BAND' : '1',\n",
    "                        'Y_DATASET': latfile,\n",
    "                        'Y_BAND' : '1',\n",
    "                        'PIXEL_OFFSET' : '0',\n",
    "                        'LINE_OFFSET' : '0',\n",
    "                        'PIXEL_STEP' : '1',\n",
    "                        'LINE_STEP' : '1'}, 'GEOLOCATION')\n",
    "    \n",
    "    band = None\n",
    "    tempds = None \n",
    "    inds = None\n",
    "    \n",
    "    if spacing is None:\n",
    "        spacing = [None, None]\n",
    "    \n",
    "    warpOptions = gdal.WarpOptions(format=fmt,\n",
    "                                   xRes=spacing[0], yRes=spacing[0],\n",
    "                                   dstSRS=outsrs, outputBounds = bounds, \n",
    "                                   resampleAlg=method, geoloc=True)\n",
    "    gdal.Warp(outfile, tempvrtname, options=warpOptions)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "###Create and visualize geocoded output\n",
    "geocodeUsingGdalWarp('stripmap/interferogram/topophase.cor.full.vrt',\n",
    "                     'stripmap/geometry/lat.rdr.full.vrt',\n",
    "                     'stripmap/geometry/lon.rdr.full.vrt',\n",
    "                     'stripmap/geocoded_coherence.tif',\n",
    "                     spacing=[1/8000., 1/8000.])\n",
    "\n",
    "geodata, geoext = loadData('stripmap/geocoded_coherence.tif', band=2)\n",
    "\n",
    "plt.figure()\n",
    "plt.imshow(geodata, extent=geoext, cmap='gray')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Other features to keep an eye on\n",
    "\n",
    "1. **gdaldem** is an utility that allows one to apply color palettes to raster images. Very fast and can use custom color palettes. Compatible with GMT's cpt files. (http://www.gdal.org/gdaldem.html)\n",
    "\n",
    "2. **gdal_rasterize** allows users to rasterize shapefiles / vector formats. (http://www.gdal.org/gdal_rasterize.html)\n",
    "\n",
    "3. **gdal_edit.py** allows users to edit raster metadata on the command line. (http://www.gdal.org/gdal_edit.html)"
   ]
  }
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