Platform

Earth Science Cloud Analytics Platform

A cloud-based platform for managing and analyzing large, heterogeneous datasets in ecological monitoring, land-use planning and scientific research. It brings together IoT, remote sensing and domain-specific models to support data sharing, collaboration, emergency response, scientific decision-making and public services.

Platform architecture

Custom interfaces

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Metadata management and data center solutions

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Kubernetes or Serverless

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OpenStack private cloud / Public cloud / Hybrid cloud

Interface concept

Enlarged concept of the selected custom interface

Platform capabilities

Comprehensive data services

MOD-01

Data collection and ingestion

Bring together satellite imagery, observation stations and IoT data through standardized collection, cleaning and ingestion workflows.

MOD-02

Data management and sharing

Support scientific data cataloging, publication, citation and open sharing.

MOD-03

Automated modeling and analysis

A library of domain-specific models supports automated modeling, simulation and multidimensional analysis of spatiotemporal data.

MOD-04

GIS engine and visualization

Our proprietary GIS engine supports integrated 2D and 3D maps, thematic mapping and unified map-based command and dispatch.

MOD-05

Emergency response and decision support

Provide real-time monitoring, dynamic warnings and decision-support analysis for disaster preparedness and emergency response.

MOD-06

Collaboration and services

Enable cross-department collaboration and public data services for research, surveying, navigation, environmental protection and emergency response.

Cloud computing Remote sensing Internet of Things Spatiotemporal data Intelligent models Scientific data standards Data sharing