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Google Earth Engine

Google Earth Engine is a cloud-based platform for planetary-scale geospatial analysis. It provides access to a vast catalog of satellite imagery and geospatial datasets, enabling scientists, researchers, and developers to detect changes, map trends, and quantify differences on Earth's surface.

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Google Earth Engine screenshot
Google Earth Engine screenshot

Google Earth Engine is a powerful cloud-based platform designed for the analysis and visualization of geospatial datasets. It combines a multi-petabyte catalog of satellite imagery and geospatial data with Google's planetary-scale analysis capabilities. This platform is widely used by scientists, researchers, and developers to detect changes, map trends, and quantify differences on the Earth's surface.

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The platform offers a comprehensive public data archive that includes over thirty years of historical imagery and scientific datasets, updated daily. Users can access more than eighty petabytes of geospatial data instantly for analysis. Google Earth Engine provides a simple yet powerful API available in Python and JavaScript, allowing users to harness the power of Google's cloud for geospatial analysis.

Google Earth Engine is available for commercial use and remains free for academic and research purposes. It supports a wide range of applications, including remote sensing research, natural resource management, and disease outbreak prediction. The platform's web-based code editor facilitates fast, interactive algorithm development with instant access to petabytes of data.

The platform is instrumental in various scientific and humanitarian projects. For example, Global Forest Watch uses Earth Engine to monitor and visualize changes in global forests, while the Map of Life project utilizes it to analyze habitat ranges and assess species security. Earth Engine's scalable technology enables high-impact, data-driven science, making it a valuable tool for addressing global challenges involving large geospatial datasets.

  • CategoryMachine Learning Platforms
  • Pricing ModelFreemium
  • DeploymentWeb-based
  • PlatformsCloud

  • Multi-petabyte catalog of satellite imagery

  • Planetary-scale geospatial analysis

  • Public data archive with historical imagery

  • Python and JavaScript API

  • Web-based code editor for algorithm development

  • Free for academic and research use

  • Commercial use available

  • Supports remote sensing research

  • Natural resource management capabilities

  • Disease outbreak prediction

  1. Access: Register your Google Cloud Project

  2. Explore: Use the Explorer for data catalog browsing

  3. Develop: Utilize the Code Editor for scripting

  4. Analyze: Run geospatial analysis with APIs

  5. Share: Download and share analysis results

  • Forest Monitoring
  • Habitat Analysis
  • Disease Prediction
  • Resource Management
  • Environmental Research

From Google

Google Earth Engine Reviews

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