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  • Google Earth Engine (Google)
  • Google Earth Engine (Google)

Google Earth Engine (Google)

Description:Google Earth Engine (GEE) is a powerful web-platform for cloud-based processing of remote sensing data on large scales. It brings together the world's satellite imagery — trillions of scientific measurements dating back almost 40 years — and makes it available online with tools for scientists, independent researchers, and nations to mine this massive warehouse of data to detect changes, map trends and quantify differences on the Earth's surface. Applications include: detecting deforestation, classifying land cover, estimating forest biomass and carbon, and mapping the world’s roadless areas.
The advantage lies in its remarkable computation speed, as processing is outsourced to Google servers. The platform provides a variety of constantly updated data sets, so no download of raw imagery is required.
One of GEE's tools, the Earth Engine Code Editor, is a web-based integrated development environment which facilitates developing complex geospatial workflows.
Software type:Web processing (cloud computing)
Website:https://earthengine.google.org/#intro
Accessibility:Online
Requirements:

Google Earth Engine is free of charge. To use the Code Editor, however, one needs to register with a valid Google account. A confirmation usually comes within 2-3 work days.

Computer System:Online
Scope:Image processing, Visualisation
Vector/Raster:Vector, Raster
Optical data or radar data format:Optical, Radar
Costs:Free
Tutorials:
  • Tutorials Google Earth Engine
  • Introduction to Google Earth Engine
Recommended Practice: Agriculture Drought Monitoring and Hazard Assessment using Google Earth Engine
Recommended Practice: Burn Severity Mapping
Recommended Practice: Drought monitoring using the Standard Vegetation Index (SVI)
Recommended Practice: Drought monitoring using the Standardized Precipitation Index (SPI)
Recommended Practice: Flood Mapping and Damage Assessment Using Sentinel-1 SAR Data in Google Earth Engine
Recommended Practice: Flood Mapping with Radar Imagery and Digital Terrain Models
Recommended Practice: Flood Mapping with Sentinel-1 and Sentinel-2 Imagery and Digital Terrain Models
Recommended Practice: Flood Mapping with Sentinel-1 Interferometric Coherence

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