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Building a Digital Twin Earth Engine and Building a Spatial and Temporal Information Infrastructure
01Data Features
Capable of resource integration, centralized configuration, and overall management of multiple types of data, including multi-source massive satellite images, aerial images, elevation products, basic geography, ordinary files, and web standard services.
02Computing Features
Designed using cloud native technology and Kubernetes cluster containerized orchestration architecture, it supports users to access platform functions and resources from multiple terminals at any time.
03Development Features
We provide an online spatiotemporal data analysis cloud platform that integrates massive geospatial data, interactive programming analysis, real-time distributed computing, and data visualization. Through JavaScript and Python scripting languages, users can access massive data and computing resources for real-time calculation and analysis of large-scale geographic data.
04Application Features
Provide various professional level analytical applications, ready to use out of the box, including quantitative remote sensing products, virtual constellations, 3D reconstruction systems, spatiotemporal knowledge maps, hydrological models, carbon emission models, etc.
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Online dataset statistics
DATA SETS
    Global DEM products
    DOM products
    GLASS series products
    Landsat series products
Global DEM products
Coverage area: Global
Time: 2000-2011
Number of images: 3593scene
Data volume: 1401.0GB
ALOS_PALSAR_DEM12.5

Product classificationGlobal DEM products
time2006-2011
resolution12.5m
Coverage areaGlobal
Number of images13482
Data volume858GB
describeALOS_ Global 12.5 meter DEM data from PALSAR
ASTER_GDEM_DEM30

Product classificationGlobal DEM products
time2000-2009
resolution30m
Coverage areaGlobal
Number of images22450
Data volume543GB
describeASTER_ Global 30m DEM data from GDEM
Resource statistics
ASSETS