Extract Forest Cover from Satellite Images using Google Earth Engine | GEE Forest Mapping Tutorial
Автор: Geospatial Analysis
Загружено: 2025-05-24
Просмотров: 1626
Learn how to extract forest cover from satellite imagery using Google Earth Engine (GEE) in this step-by-step tutorial. Whether you're a beginner in remote sensing or an experienced GIS analyst, this video will guide you through the entire process—from image selection to classification and visualization.
🔍 In This Tutorial, You Will Learn:
How to access and use satellite data Landsat,
NDVI calculation for vegetation detection
Forest mask generation techniques
Exporting forest cover maps from GEE
Real-world application in forest monitoring and land cover change detection
🛰️ Tools Used:
Google Earth Engine (JavaScript API)
Sentinel-2 or Landsat imagery
NDVI-based classification
📌 Why This Matters:
Monitoring forest cover is essential for climate change mitigation, biodiversity protection, and land management. This GEE-based approach allows you to efficiently process large-scale geospatial data without complex software installations.
#GoogleEarthEngine
#ForestCoverMapping
#RemoteSensing
#GEEtutorial
#NDVI
#SatelliteImagery
#GIS
#LandCover
#ForestMonitoring
#GeospatialAnalysis
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