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
This is a package to access the ClimateSERV API
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.
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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