Udemy - Drought Risk Mapping Using Remote Sensing and GEE

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Udemy - Drought Risk Mapping Using Remote Sensing and GEE (Size: 535.7 MB)
  1 -Lecture 1 Fundamentals of Remote Sensing.mp4 62.6 MB
  1 -Lecture-1-Fundemntal of Remote sensing-sh.pdf 787.1 KB
  2 -Lecture 2 Remote Sensing for Risk Mapping.mp4 91.4 MB
  2 -Lecture-2 remote sensing risk map.pdf 451.6 KB
  3 -Lecture 3 Sentinel-2 Satellite and Data.mp4 26.8 MB
  3 -Sentienl-2.pdf 435.4 KB
  4 -Lecture 4 Introduction to Google Earth Engine (GEE).mp4 41 MB
  4 -Lecture-3 GEE.pdf 250.4 KB
  5 -Getting Started with the Google Earth Engine Interface.mp4 34.7 MB
  6 -Code-Drought.txt 2.9 KB
  6 -Lecture 5 Implementing Drought Risk Mapping in GEE.mp4 277.4 MB
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B

Description


Drought Risk Mapping Using Remote Sensing and GEE

https://WebToolTip.com

Published 8/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 4m | Size: 535 MB

Master the use of satellite remote sensing data and Google Earth Engine to analyze, map, and monitor drought risk

What you'll learn
Analyze drought risk factors using remote sensing data and understand their impact on agriculture.
Process, filter, and visualize multi-source satellite data effectively in Google Earth Engine.
Calculate, normalize, and interpret various drought risk indices using NDVI, rainfall, and soil moisture data.
Develop, export, and utilize detailed drought risk maps to support informed agricultural decision-making and resource management.

Requirements
No prior experience with Google Earth Engine is required — the course will guide you step-by-step.