The NASA Global Hydrology Resource Center (GHRC) DAAC has published the data recipe titled ISS LIS Lightning Flash Location Quickview using Python 3.0 and GIS. This data recipe enables the visualization of lightning flash locations across user-selected ISS LIS swath data files. The Python code can plot the data directly, or create a CSV file for use with other software, such as ESRI ArcMap. The process can now be executed using Python 3.0. The new data recipe is available at: https://ghrc.nsstc.nasa.gov/home/data-recipes/iss-lis-lightning-flash-location-quickview-using-python-30-and-gisGHRC Publishes New ISS LIS Data Recipe
The NASA Global Hydrology Resource Center (GHRC) DAAC has published the data recipe titled ISS LIS Lightning Flash Location Quickview using Python 3.0 and GIS. This data recipe enables the visualization of lightning flash locations across user-selected ISS LIS swath data files. The Python code can plot the data directly, or create a CSV file for use with other software, such as ESRI ArcMap. The process can now be executed using Python 3.0. The new data recipe is available at: https://ghrc.nsstc.nasa.gov/home/data-recipes/iss-lis-lightning-flash-location-quickview-using-python-30-and-gis
