Annual Precipitation Using CHIRPS Data in Google Earth Engine.
Автор: GIS DEV
Загружено: 2025-02-22
Просмотров: 504
In this step-by-step tutorial, you’ll learn how to access and analyze CHIRPS precipitation data using Google Earth Engine (GEE). We’ll demonstrate how to extract rainfall data for a specific country using a country boundary shapefile from the USDOS/LSIB_SIMPLE/2017 dataset and retrieve annual precipitation totals from the UCSB-CHG/CHIRPS/PENTAD ImageCollection.
What you’ll learn:
How to use Google Earth Engine to access CHIRPS data
Filtering and visualizing precipitation over time
Clipping CHIRPS data to a country boundary
Exporting rainfall data for analysis in GIS or Python
Datasets Used:
Country boundaries: USDOS/LSIB_SIMPLE/2017
CHIRPS precipitation data: UCSB-CHG/CHIRPS/PENTAD
Whether you're a GIS developer, remote sensing analyst, or environmental researcher, this video will help you quickly integrate precipitation data into your workflows using GEE.
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Link to code: https://surli.cc/tjpjdt
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