Udemy - Crop Failure Mapping Using Remote Sensing And Gee

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Udemy - Crop Failure Mapping Using Remote Sensing And Gee (Size: 457.1 MB)
  1 - Lecture 1 Fundamentals of Remote Sensing.mkv 38.2 MB
  1 - Lecture-1-Fundemntal-of-Remote-sensing-sh.pdf 787.1 KB
  2 - Lecture 2 Remote Sensing for Risk Mapping.mkv 64.2 MB
  2 - Lecture-2-remote-sensing-risk-map.pdf 451.6 KB
  3 - Lecture 3 Sentinel2 Satellite and Spectral Bands.mkv 29.7 MB
  3 - Sentienl-2.pdf 435.4 KB
  4 - Lecture 4 Introduction to Google Earth Engine GEE.mkv 23.9 MB
  4 - Lecture-3-GEE.pdf 250.4 KB
  5 - Getting Started with the Google Earth Engine Interface.mkv 26.7 MB
  6 - Code-Crop-Failure.txt 2.3 KB
  6 - Lecture 5 Implementing Crop Failure Mapping in GEE Using Sentinel2.mkv 272.6 MB
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B

Description


Crop Failure Mapping Using Remote Sensing And Gee

https://WebToolTip.com

Published 8/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 457.07 MB | Duration: 1h 0m

Learn how to detect and map crop failure risk using NDVI and rainfall data in Google Earth Engine for agriculture

What you'll learn
Learn to calculate and analyze NDVI from satellite imagery for monitoring vegetation health and detecting stress in crops over time.
Process and interpret rainfall data using remote sensing to understand precipitation patterns and their impact on agriculture.
Develop comprehensive crop failure risk maps in Google Earth Engine by integrating vegetation and rainfall anomalies for proactive agricultural management.
Export and utilize geospatial datasets effectively for informed decision-making, agricultural planning, and risk mitigation strategies.

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

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