Merge pull request #5429 from nasa-gibs/release

Release into main

README.md

@@ -2,7 +2,7 @@
 
 [![Worldview Screenshot](/web/images/readme-preview.jpg)](https://worldview.earthdata.nasa.gov)
 
-[![Build Status](https://github.com/nasa-gibs/worldview/actions/workflows/build-test-app.yml/badge.svg?branch=main)](https://github.com/nasa-gibs/worldview/actions/workflows/build-test-app.yml)
+[![CI-CD](https://github.com/nasa-gibs/worldview/actions/workflows/ci-cd.yml/badge.svg)](https://github.com/nasa-gibs/worldview/actions/workflows/ci-cd.yml)
 
 Interactive interface for browsing full-resolution, global satellite imagery.
 
@@ -25,7 +25,7 @@ or [custom GDAL scripts](https://nasa-gibs.github.io/gibs-api-docs/map-library-u
 We encourage interested developers to fork Worldview or build their own clients
 using GIBS services.
 
-Check out our [roadmap](https://github.com/nasa-gibs/worldview/projects/7)
+Check out our [roadmap](https://github.com/orgs/nasa-gibs/projects/3/views/1)
 to see what we're working on and follow our [blog](https://wiki.earthdata.nasa.gov/pages/viewrecentblogposts.action?key=GIBS)
 to find out the latest features and imagery available.
 

config/default/common/config/metadata/layers/aeronet/AERONET_ANGSTROM_440-870NM.md

@@ -4,6 +4,6 @@ The angstrom parameter is calculated for all available wavelengths within the An
 
 Each AERONET ground-based remote sensing aerosol network site consist of a sun photometer and satellite transmission system. Sun photometer measurements of the direct (collimated) solar radiation provide information to calculate the columnar aerosol optical depth (AOD). AOD can be used to compute columnar water vapor (Precipitable Water) and estimate the aerosol size using the Angstrom parameter relationship.
 
-The Near Real-Time layer displays the reading from the last one hour, ranging from < 0.0 to >= 2.5. Inactive sites are denoted in grey. Data for this layer is provided by the The AErosol RObotic NETwork ([AERONET](https://aeronet.gsfc.nasa.gov/)) program.
+The Near Real-Time layer displays the reading from the last one hour, ranging from < 0.0 to >= 2.5. Inactive sites are denoted in grey. Data for this layer is provided by the AErosol RObotic NETwork ([AERONET](https://aeronet.gsfc.nasa.gov/)) program.
 
 References: [AERONET Aerosol Optical Depth](https://aeronet.gsfc.nasa.gov/new_web/aerosols.html)

config/default/common/config/metadata/layers/aeronet/AERONET_AOD_500NM.md

@@ -4,6 +4,6 @@ Aerosol Optical Depth (AOD) (or Aerosol Optical Thickness) indicates the level a
 
 Each AERONET ground-based remote sensing aerosol network site consist of a sun photometer and satellite transmission system. Sun photometer measurements of the direct (collimated) solar radiation provide information to calculate the columnar aerosol optical depth (AOD). AOD can be used to compute columnar water vapor (Precipitable Water) and estimate the aerosol size using the Angstrom parameter relationship.
 
-The Near Real-Time layer displays the reading from the last one hour, ranging from < 0.0 to 5.0. Inactive sites are denoted in grey. Data for this layer is provided by the The AErosol RObotic NETwork ([AERONET](https://aeronet.gsfc.nasa.gov/)) program.
+The Near Real-Time layer displays the reading from the last one hour, ranging from < 0.0 to 5.0. Inactive sites are denoted in grey. Data for this layer is provided by the AErosol RObotic NETwork ([AERONET](https://aeronet.gsfc.nasa.gov/)) program.
 
 References: [AERONET Aerosol Optical Depth](https://aeronet.gsfc.nasa.gov/new_web/aerosols.html)

config/default/common/config/metadata/layers/aeronet/DAILY_AERONET_ANGSTROM_440-870NM.md

@@ -4,7 +4,7 @@ The angstrom parameter is calculated for all available wavelengths within the An
 
 Each AERONET ground-based remote sensing aerosol network site consist of a sun photometer and satellite transmission system. Sun photometer measurements of the direct (collimated) solar radiation provide information to calculate the columnar aerosol optical depth (AOD). AOD can be used to compute columnar water vapor (Precipitable Water) and estimate the aerosol size using the Angstrom parameter relationship.
 
-The Daily layer displays the daily average based on the UTC solar day, ranging from < 0.0 to >= 2.5. Inactive sites are denoted in grey. Data for this layer is provided by the The AErosol RObotic NETwork ([AERONET](https://aeronet.gsfc.nasa.gov/)) program.
+The Daily layer displays the daily average based on the UTC solar day, ranging from < 0.0 to >= 2.5. Inactive sites are denoted in grey. Data for this layer is provided by the AErosol RObotic NETwork ([AERONET](https://aeronet.gsfc.nasa.gov/)) program.
 
 References: [AERONET Aerosol Optical Depth](https://aeronet.gsfc.nasa.gov/new_web/aerosols.html)
 

config/default/common/config/metadata/layers/aeronet/DAILY_AERONET_AOD_500NM.md

@@ -4,6 +4,6 @@ Aerosol Optical Depth (AOD) (or Aerosol Optical Thickness) indicates the level a
 
 Each AERONET ground-based remote sensing aerosol network site consist of a sun photometer and satellite transmission system. Sun photometer measurements of the direct (collimated) solar radiation provide information to calculate the columnar aerosol optical depth (AOD). AOD can be used to compute columnar water vapor (Precipitable Water) and estimate the aerosol size using the Angstrom parameter relationship.
 
-The Daily layer displays the daily average based on the UTC solar day, ranging from < 0.0 to 5.0. Inactive sites are denoted in grey. Data for this layer is provided by the The AErosol RObotic NETwork ([AERONET](https://aeronet.gsfc.nasa.gov/)) program.
+The Daily layer displays the daily average based on the UTC solar day, ranging from < 0.0 to 5.0. Inactive sites are denoted in grey. Data for this layer is provided by the AErosol RObotic NETwork ([AERONET](https://aeronet.gsfc.nasa.gov/)) program.
 
 References: [AERONET Aerosol Optical Depth](https://aeronet.gsfc.nasa.gov/new_web/aerosols.html)

config/default/common/config/metadata/layers/goes/GOES-East_ABI_Dust.md

@@ -0,0 +1,18 @@
+Note: This layer is generally available for the **most recent 90 days**, though certain historical ranges are also preserved.
+
+The Dust RGB layer from the GOES-East Advanced Baseline Imager (ABI) is used to identify dust. Dust can be hard to see in visible and infrared imagery because it is optically thin, or because it appears similar to other cloud types such as cirrus. The Dust RGB layer contrasts airborne dust from clouds using band differencing and the IR thermal channel. The IR band differencing allows dust storms to be observed during both daytime and at night.
+
+To interpret the RGB image, the following is a guide as to what each color represents in the image:
+
+* Dust plume, day - bright magenta, pink, Note: Dust at night becomes purple shades below 3 km
+* Low, water cloud - light purple
+* Desert surface, day - light blue
+* Mid, thick clouds - tan shades
+* Mid, thin cloud - green
+* Cold, thick clouds - red
+* High, thin ice clouds - black
+* Very thin clouds, over warm surface - blue
+
+The Geostationary Operational Environmental Satellites (GOES)-East satellite (currently, GOES-16) is centered on 75.2 degrees W, covering the Conterminous US, Canada, Central and South America. The GOES-East ABI imagery is available on a rolling 90-day basis at 10 minute intervals. The sensor resolution is 2 km, the imagery resolution in Worldview/Global Imagery Browse Services (GIBS) is 2 km, the temporal resolution is 10 minutes, and the latency (time from satellite acquisition to availability in GIBS) is approximately 40 minutes.
+
+References: [GOES-R: Dust RGB Quick Guide](https://www.star.nesdis.noaa.gov/goes/documents/QuickGuide_Dust_RGB.pdf)

config/default/common/config/metadata/layers/goes/GOES-East_ABI_FireTemp.md

@@ -0,0 +1,19 @@
+Note: This layer is generally available for the **most recent 90 days**, though certain historical ranges are also preserved.
+
+The Fire Temperature RGB layer from the GOES-East Advanced Baseline Imager (ABI) is used to identify where the most intense fires are occurring and differentiate these from "cooler" fires. The RGB takes advantage of the fact that from 3.9µm to shorter wavelengths, background solar radiation and surface reflectance increases. This means that fires need to be more intense in order to be detected by the 2.2 and 1.6µm bands, as more intense fires emit more radiation at these wavelengths. Therefore, small/"cool" fires will only show up at 3.9µm and appear red while increases in fire intensity cause greater contributions of the other channels resulting in white very intense fires.
+
+To interpret the RGB image, the following is a guide as to what each color represents in the image:
+
+* Warm fire - red
+* Very warm fire - orange
+* Hot fire - yellow
+* Very hot fire - near white
+* Burn scars - shades of maroon
+* Clear sky: land - purples to pink
+* Clear sky: water/snow/night - near black
+* Water clouds - shades of blue
+* Ice clouds - shades of green
+
+The Geostationary Operational Environmental Satellites (GOES)-East satellite (currently, GOES-16) is centered on 75.2 degrees W, covering the Conterminous US, Canada, Central and South America. The GOES-East ABI imagery is available on a rolling 90-day basis at 10 minute intervals. The sensor resolution is 2 km, the imagery resolution in Worldview/Global Imagery Browse Services (GIBS) is 2 km, the temporal resolution is 10 minutes, and the latency (time from satellite acquisition to availability in GIBS) is approximately 40 minutes.
+
+References: [GOES-R: Fire Temperature RGB Quick Guide](https://www.star.nesdis.noaa.gov/goes/documents/QuickGuide_Fire_Temperature_RGB.pdf)

config/default/common/config/metadata/layers/goes/GOES-West_ABI_Dust.md

@@ -0,0 +1,18 @@
+Note: This layer is generally available for the **most recent 90 days**, though certain historical ranges are also preserved.
+
+The Dust RGB layer from the GOES-West Advanced Baseline Imager (ABI) is used to identify dust. Dust can be hard to see in visible and infrared imagery because it is optically thin, or because it appears similar to other cloud types such as cirrus. The Dust RGB layer contrasts airborne dust from clouds using band differencing and the IR thermal channel. The IR band differencing allows dust storms to be observed during both daytime and at night.
+
+To interpret the RGB image, the following is a guide as to what each color represents in the image:
+
+* Dust plume, day - bright magenta, pink, Note: Dust at night becomes purple shades below 3 km
+* Low, water cloud - light purple
+* Desert surface, day - light blue
+* Mid, thick clouds - tan shades
+* Mid, thin cloud - green
+* Cold, thick clouds - red
+* High, thin ice clouds - black
+* Very thin clouds, over warm surface - blue
+
+The Geostationary Operational Environmental Satellites (GOES)-West satellite (currently, GOES-18) is centered on 137.2 degrees W, covering most of the Pacific Ocean, the USA, most of Canada, Central America, the western half of South America, and parts of Australasia. The GOES-West ABI imagery is available on a rolling 90-day basis at 10 minute intervals. The sensor resolution is 2 km, the imagery resolution in Worldview/Global Imagery Browse Services (GIBS) is 2 km, the temporal resolution is 10 minutes, and the latency (time from satellite acquisition to availability in GIBS) is approximately 40 minutes.
+
+References: [GOES-R: Dust RGB Quick Guide](https://www.star.nesdis.noaa.gov/goes/documents/QuickGuide_Dust_RGB.pdf)

config/default/common/config/metadata/layers/goes/GOES-West_ABI_FireTemp.md

@@ -0,0 +1,19 @@
+Note: This layer is generally available for the **most recent 90 days**, though certain historical ranges are also preserved.
+
+The Fire Temperature RGB layer from the GOES-West Advanced Baseline Imager (ABI) is used to identify where the most intense fires are occurring and differentiate these from "cooler" fires. The RGB takes advantage of the fact that from 3.9µm to shorter wavelengths, background solar radiation and surface reflectance increases. This means that fires need to be more intense in order to be detected by the 2.2 and 1.6µm bands, as more intense fires emit more radiation at these wavelengths. Therefore, small/"cool" fires will only show up at 3.9µm and appear red while increases in fire intensity cause greater contributions of the other channels resulting in white very intense fires.
+
+To interpret the RGB image, the following is a guide as to what each color represents in the image:
+
+* Warm fire - red
+* Very warm fire - orange
+* Hot fire - yellow
+* Very hot fire - near white
+* Burn scars - shades of maroon
+* Clear sky: land - purples to pink
+* Clear sky: water/snow/night - near black
+* Water clouds - shades of blue
+* Ice clouds - shades of green
+
+The Geostationary Operational Environmental Satellites (GOES)-West satellite (currently, GOES-18) is centered on 137.2 degrees W, covering most of the Pacific Ocean, the USA, most of Canada, Central America, the western half of South America, and parts of Australasia. The GOES-West ABI imagery is available on a rolling 90-day basis at 10 minute intervals. The sensor resolution is 2 km, the imagery resolution in Worldview/Global Imagery Browse Services (GIBS) is 2 km, the temporal resolution is 10 minutes, and the latency (time from satellite acquisition to availability in GIBS) is approximately 40 minutes.
+
+References: [GOES-R: Fire Temperature RGB Quick Guide](https://www.star.nesdis.noaa.gov/goes/documents/QuickGuide_Fire_Temperature_RGB.pdf)

config/default/common/config/metadata/layers/modis/aqua/MODIS_Aqua_Cloud_Optical_Thickness_16_PCL.md

@@ -1,4 +1,4 @@
-The MODIS Cloud Optical Thickness (1.6 microns, PCL) layer is a measure of the amount of sunlight affected by absorption and scattering when passing through the clouds using Band 6 (1.6 μm). Clouds scatter and reflect most visible light. Hence it is simultaneously retrieved with Cloud Effective Radius by simultaneously measuring the reflection function of a non-absorbing and absorbing spectral channel (e.g., Visible/Near Infrared (VIS/NIR) and Shortwave Infrared (SWIR), respectively) and comparing the resulting measurements with theoretical forward model calculations. This layer is the the Cloud Optical Thickness PCL (partly cloudy) retrieval using Band 6 (1.6 μm) for pixels classified as either partly cloudy from 250 m cloud mask test or 1 km cloud edges.
+The MODIS Cloud Optical Thickness (1.6 microns, PCL) layer is a measure of the amount of sunlight affected by absorption and scattering when passing through the clouds using Band 6 (1.6 μm). Clouds scatter and reflect most visible light. Hence it is simultaneously retrieved with Cloud Effective Radius by simultaneously measuring the reflection function of a non-absorbing and absorbing spectral channel (e.g., Visible/Near Infrared (VIS/NIR) and Shortwave Infrared (SWIR), respectively) and comparing the resulting measurements with theoretical forward model calculations. This layer is the Cloud Optical Thickness PCL (partly cloudy) retrieval using Band 6 (1.6 μm) for pixels classified as either partly cloudy from 250 m cloud mask test or 1 km cloud edges.
 
 The MODIS Cloud Optical Thickness layers are available from both the Terra (MOD06) and Aqua (MYD06) satellites for daytime overpasses. The sensor/algorithm resolution is 1 km, imagery resolution is 1 km, and the temporal resolution is daily.
 

config/default/common/config/metadata/layers/modis/aqua/MODIS_Aqua_Cloud_Optical_Thickness_PCL.md

@@ -1,4 +1,4 @@
-The MODIS Cloud Optical Thickness layer is a measure of the amount of sunlight affected by absorption and scattering when passing through the clouds. Clouds scatter and reflect most visible light. Hence it is simultaneously retrieved with Cloud Effective Radius by simultaneously measuring the reflection function of a non-absorbing and absorbing spectral channel (e.g., Visible/Near Infrared (VIS/NIR) and Shortwave Infrared (SWIR), respectively) and comparing the resulting measurements with theoretical forward model calculations. This layer is the the Cloud Optical Thickness PCL (partly cloudy) retrieval using Band 7 (2.1 μm) for pixels classified as either partly cloudy from 250 m cloud mask test or 1 km cloud edges.
+The MODIS Cloud Optical Thickness layer is a measure of the amount of sunlight affected by absorption and scattering when passing through the clouds. Clouds scatter and reflect most visible light. Hence it is simultaneously retrieved with Cloud Effective Radius by simultaneously measuring the reflection function of a non-absorbing and absorbing spectral channel (e.g., Visible/Near Infrared (VIS/NIR) and Shortwave Infrared (SWIR), respectively) and comparing the resulting measurements with theoretical forward model calculations. This layer is the Cloud Optical Thickness PCL (partly cloudy) retrieval using Band 7 (2.1 μm) for pixels classified as either partly cloudy from 250 m cloud mask test or 1 km cloud edges.
 
 The MODIS Cloud Optical Thickness layers are available from both the Terra (MOD06) and Aqua (MYD06) satellites for daytime overpasses. The sensor/algorithm resolution is 1 km, imagery resolution is 1 km, and the temporal resolution is daily.
 

config/default/common/config/metadata/layers/modis/aqua/MODIS_Aqua_Cloud_Optical_Thickness_PCL_1621.md

@@ -1,4 +1,4 @@
-The MODIS Cloud Optical Thickness (1.6 microns, 1621 Algorithm, PCL) layer is a measure of the amount of sunlight affected by absorption and scattering when passing through the clouds using Band 6 (1.6 μm) and Band 7 (2.1 μm). Clouds scatter and reflect most visible light. This layer is the the Cloud Optical Thickness (1.6 microns, 1621 Algorithm, PCL) (partly cloudy) retrieval using Band 6 (1.6 μm) and Band 7 (2.1 μm) for pixels classified as either partly cloudy from 250 m cloud mask test or 1 km cloud edges.
+The MODIS Cloud Optical Thickness (1.6 microns, 1621 Algorithm, PCL) layer is a measure of the amount of sunlight affected by absorption and scattering when passing through the clouds using Band 6 (1.6 μm) and Band 7 (2.1 μm). Clouds scatter and reflect most visible light. This layer is the Cloud Optical Thickness (1.6 microns, 1621 Algorithm, PCL) (partly cloudy) retrieval using Band 6 (1.6 μm) and Band 7 (2.1 μm) for pixels classified as either partly cloudy from 250 m cloud mask test or 1 km cloud edges.
 
 The MODIS Cloud Optical Thickness layers are available from both the Terra (MOD06) and Aqua (MYD06) satellites for daytime overpasses. The sensor/algorithm resolution is 1 km, imagery resolution is 1 km, and the temporal resolution is daily.
 

config/default/common/config/metadata/layers/modis/terra/MODIS_Terra_Cloud_Optical_Thickness_16_PCL.md

@@ -1,4 +1,4 @@
-The MODIS Cloud Optical Thickness (1.6 microns, PCL) layer is a measure of the amount of sunlight affected by absorption and scattering when passing through the clouds using Band 6 (1.6 μm). Clouds scatter and reflect most visible light. Hence it is simultaneously retrieved with Cloud Effective Radius by simultaneously measuring the reflection function of a non-absorbing and absorbing spectral channel (e.g., Visible/Near Infrared (VIS/NIR) and Shortwave Infrared (SWIR), respectively) and comparing the resulting measurements with theoretical forward model calculations. This layer is the the Cloud Optical Thickness PCL (partly cloudy) retrieval using Band 6 (1.6 μm) for pixels classified as either partly cloudy from 250 m cloud mask test or 1 km cloud edges.
+The MODIS Cloud Optical Thickness (1.6 microns, PCL) layer is a measure of the amount of sunlight affected by absorption and scattering when passing through the clouds using Band 6 (1.6 μm). Clouds scatter and reflect most visible light. Hence it is simultaneously retrieved with Cloud Effective Radius by simultaneously measuring the reflection function of a non-absorbing and absorbing spectral channel (e.g., Visible/Near Infrared (VIS/NIR) and Shortwave Infrared (SWIR), respectively) and comparing the resulting measurements with theoretical forward model calculations. This layer is the Cloud Optical Thickness PCL (partly cloudy) retrieval using Band 6 (1.6 μm) for pixels classified as either partly cloudy from 250 m cloud mask test or 1 km cloud edges.
 
 The MODIS Cloud Optical Thickness layers are available from both the Terra (MOD06) and Aqua (MYD06) satellites for daytime overpasses. The sensor/algorithm resolution is 1 km, imagery resolution is 1 km, and the temporal resolution is daily.