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.