Google Earth Engine
Creators:
Google LLC
Publication Date:
NA
Data Category:
Dataset Description:
Google Earth Engine (GEE) is a cloud-based platform that provides access to a vast archive of satellite imagery and geospatial data, along with powerful tools for analysis and visualization. It supports a wide range of datasets from various satellite missions, including Landsat, MODIS, and Sentinel, among others. The platform integrates extensive data archives with powerful computational capabilities, enabling users to analyze and visualize geospatial information effectively. GEE hosts one of the largest publicly available data catalogs, encompassing over 90 PB of analysis-ready satellite imagery and more than 1,000 curated datasets. This includes data from various satellite missions, climate models, and geospatial datasets, providing comprehensive coverage for diverse applications. The total data repository of GEE exceeds 90 PB, making it one of the most extensive geospatial data archives available. Given the vast array of datasets and the high temporal resolution of satellite imagery, GEE contains billions of individual observations. For example, daily global coverage by satellites like Sentinel-2 results in a continuous influx of new data, contributing to the platform's extensive repository. GEE's datasets span over four decades, with historical imagery dating back to the 1970s. GEE organizes its datasets into a hierarchical structure within the Earth Engine Data Catalog:
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Image Collections: These are groups of related images, such as satellite imagery from specific missions (e.g., Landsat, Sentinel). Each image within a collection is associated with metadata, including acquisition date, sensor information, and processing level.
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Feature Collections: These datasets consist of vector data representing geographic features like administrative boundaries, roads, or land cover classifications. Each feature includes geometry (points, lines, polygons) and associated attribute information.
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Tables: Tabular datasets containing geospatial information, such as climate data, socioeconomic indicators, or environmental statistics, often linked to specific geographic locations.
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