Access data from the MODIS web service and perform quality filtering in Python
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Updated
Sep 30, 2020 - Jupyter Notebook
Access data from the MODIS web service and perform quality filtering in Python
A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images
Package to analyse VIIRS nighttime lights
Submit a batch of MODIS Global Subset Tool orders via the MODIS Web Service
Python scripts and Jupyter Notebooks to download and preprocess VIIRS DNB Nighttime Lights data.
Georeferenced Rasters and Statistics of Nightlights from NASA Black Marble
This repository contains code examples which demonstrate how users can access the CMRSET actual evapotranspiration data product and related data services.
Georeferenced Rasters and Statistics of Nighttime Lights from NASA Black Marble
Dash Plotly Application to view current drought and fire conditions. Uses US Drought Monitor current county csv report and FIRMS current fire report from MODIS and VIIRS data.
This is the code used in my masters thesis research.
Fast and Accurate collocation of Fast and Accurate Collocation of the Visible Infrared Imaging Radiometer Suite (VIIRS) Measurements with Cross-Track Infrared Sounder (CrIS)
Tools for visualizing MODIS/VIIRS L2 active fire product
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