chirps
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Satellite-based monitoring of dry and wet condition using Standardized Precipitation Index (SPI)
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Oct 21, 2021 - Jupyter Notebook
This is a package to access the ClimateSERV API
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Mar 14, 2024 - Python
ClimateSERV allows development practitioners, scientists/researchers, and government decision-makers to visualize and download historical rainfall data, vegetation condition data, and 180-day forecasts of rainfall and temperature to improve understanding of, and make improved decisions for, issues related to agriculture and water availability.
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May 23, 2024 - Python
Satellite-based monitoring of dry and wet condition using Standardized Precipitation Index (SPI)
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Updated
Jul 21, 2023 - Shell
Python Jupyter notebooks for exploratory reading and visualization (RV) of various geospatial data products and file formats
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May 19, 2024 - Jupyter Notebook
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