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Python scripts and Jupyter Notebooks to download and preprocess VIIRS DNB Nighttime Lights data.

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calekochenour/nighttime-radiance

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Nighttimme Radiance

Python scripts and Jupyter Notebooks for working with nighttime radiance data.

Contents

The project contains folders for all stages of the project workflow as well as other files necessary to run the code.

01-code-scripts/

Contains all Python and Jupyter Notebook files.

02-raw-data/

Contains all original/unprocessed data.

03-processed-data/

Contains all created/processed data.

04-graphics-outputs/

Contains all figures and plots.

05-papers-writings/

Contains all written content.

Makefile

Contains instructions to run the Python scripts in the 01-code-scripts/ folder.

environment.yml

Contains all information to create the Conda environment required to run the Python and Jupyter Notebook files in the 01-code-scripts/ folder.

Prerequisites

To run the Python and Jupyter Notebook files in the 01-code-scripts/ folder, you will need:

Local Setup Instructions

The instructions expect you to have a local copy of this GitHub repository.

Create and Activate Conda Environment

From the terminal, you can create and activate the Conda environment.

Create environment:

$ conda env create -f environment.yml

Activate environment:

$ conda activate nighttime-radiance

Open Jupyter Notebook

Once you activate the Conda environment, you can work with the Jupyter Notebook files.

Open Jupyter Notebook:

$ jupyter notebook

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Python scripts and Jupyter Notebooks to download and preprocess VIIRS DNB Nighttime Lights data.

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