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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.
This is a package to access the ClimateSERV API
Satellite-based monitoring of dry and wet condition using Standardized Precipitation Index (SPI)
A python library designed for downloading and managing hydro-meteorological data sourced from satellites and global models.
Python Jupyter notebooks for exploratory reading and visualization (RV) of various geospatial data products and file formats