Satellite-based monitoring of dry and wet condition using Standardized Precipitation Index (SPI)
-
Updated
Oct 21, 2021 - Jupyter Notebook
#
imerg
Here are 13 public repositories matching this topic...
Collection of projects created by me between Dec 25, 2020 to Feb 10, 2021
data-science
minesweeper
tic-tac-toe
python3
tkinter
rock-paper-scissors
management-system
15-puzzle
whatsapp-analysis
imerg
-
Updated
Feb 10, 2021 - Jupyter Notebook
This is a package to access the ClimateSERV API
-
Updated
Sep 9, 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.
-
Updated
Nov 1, 2024 - Python
Climate data, indices and it's application
-
Updated
Mar 8, 2022 - HTML
Satellite-based monitoring of dry and wet condition using Standardized Precipitation Index (SPI)
-
Updated
Jul 21, 2023 - Shell
Half-hourly IMERG rainfall during landslide event
-
Updated
Aug 16, 2021 - JavaScript
Extreme rainfall monitoring, will it trigger a flood?
-
Updated
Sep 13, 2022 - JavaScript
Half-hourly IMERG rainfall during landslide event
-
Updated
Feb 25, 2022 - JavaScript
initial release of the superBT - V04 - beta version 0.4
-
Updated
May 29, 2024 - Python
Extreme rainfall monitoring, will it trigger a flood?
-
Updated
Aug 24, 2021 - HTML
Improve this page
Add a description, image, and links to the imerg topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the imerg topic, visit your repo's landing page and select "manage topics."