Satellite-based monitoring of dry and wet condition using Standardized Precipitation Index (SPI)
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Updated
Oct 21, 2021 - Jupyter Notebook
Satellite-based monitoring of dry and wet condition using Standardized Precipitation Index (SPI)
Collection of projects created by me between Dec 25, 2020 to Feb 10, 2021
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
Climate data, indices and it's application
Satellite-based monitoring of dry and wet condition using Standardized Precipitation Index (SPI)
Half-hourly IMERG rainfall during landslide event
Half-hourly IMERG rainfall during landslide event
Extreme rainfall monitoring, will it trigger a flood?
initial release of the superBT - V04 - beta version 0.4
Extreme rainfall monitoring, will it trigger a flood?
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