In this video tutorial, you will learn how to import Global Surface Water Occurrence data and analysis the surface water change. This data is free and available for all regions in the globe.
-------------------------------------------------------------------------------------------------------------------------
Global Surface Water Explorer is initiate by European Commission - A virtual time machine that maps the location and temporal distribution of water surfaces at the global scale over the past 3.8 decades, and provides statistics on their extent and change to support better informed water-management decision-making.
For more information visit:
[ Ссылка ]
[ Ссылка ]
-------------------------------------------------------------------------------------------------------------------------
Subscribe for more tutorials: [ Ссылка ]
------------------------------------------------------------------------------------------------------------------------
Video 20: Create Point data & Export it as KML and CSV files
[ Ссылка ]
Video 21: Create and Export Timelapse Videos from Satellite Images
[ Ссылка ]
Video 22: Band composite using Sentinel Imagery
[ Ссылка ]
Video 23: How to perform convolutions on images
[ Ссылка ]
Video 24: How to Mosaic Landsat 8 image
[ Ссылка ]
Video 25: Edge Detection using Landsat 8
[ Ссылка ]
Video 26: Raster Reprojection
[ Ссылка ]
Video 27: Resampling Landsat 8 image using Google Earth Engine
[ Ссылка ]
Video 28: Extract Monthly Rainfall Data using Earth Engine
[ Ссылка ]
Video 29: Extract Monthly LST Values in CSV using MODIS Imagery
[ Ссылка ]
Video 30:Extract Monthly NDVI Values in CSV
[ Ссылка ]
Video 31: Calculate & Extract Monthly EVI Values in CSV
[ Ссылка ]
Video 32: Prepare & Export ESA Global Land Cover Data
[ Ссылка ]
Video 33: Load & Export MODIS Land Cover Data
[ Ссылка ]
Video 34: Load & Export NLCD Land Cover Data Product
[ Ссылка ]
Video 35: Global Surface Water Occurrence Data 1984-2015
[ Ссылка ]
#earthengine #googleearthengine #googleearthenginetutorial #beginners #tutorials #WaterOccurrence #surfacewater #waterdata
Ещё видео!