Integrated Geospatial Data-sharing Interface

Building Digital Public Infrastructure for Geospatial Data

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GDI: A gateway to integrated geospatial data and tools in one seamless interface

The Integrated Geospatial Data-sharing Interface (GDI) is a standardized platform within the geospatial sector that integrates diverse sources of spatial data, tools, and services into a cohesive and accessible interface. It aims to streamline access to geospatial information, promote interoperability across different systems, and facilitate seamless data sharing and analysis. By providing a unified access point, GDI enhances efficiency in geospatial data utilization, supports innovation in applications and services, and ensures consistency in data standards and protocols for users across various domains and industries.

Additionally, establishment of a National Geospatial Data Registry (NGDR) streamlines data discovery. A rich metadata content enhances the utility of the NGDR.

Transforming the Geospatial Data Landscape through a Integrated Geospatial Data-sharing Interface

Geospatial data analysis based on advanced machine learning techniques can help solve complex problems in multiple domains and help achieve the Sustainable Development Goals (SDG). Thus far there has been a challenge that stems from the lack of availability, non-interoperability and non-standard data formats that deterred from realising these benefits.

This has been recognised by the National Geospatial Policy 2022 which envisages efficient access to the fundamental geospatial data available with various stakeholders in the country. It further recognizes the need for an Integrated Geospatial Data-sharing Interface (GDI) to enable access to the datasets through universally accepted and standardised protocols. GDI addresses this gap and provides a critical digital public infrastructure to readily access geospatial data through controlled access mechanisms. At GDI, we are innovatively transforming the geospatial data landscape. We provide easy access to diverse geospatial data from both public and private sources. The advanced Spatial Data Analytics Engine serves analytics ready data allowing rapid application development.

This has been recognised by the National Geospatial Policy 2022 which envisages efficient access to the fundamental geospatial data available with various stakeholders in the country. It further recognizes the need for a Unified Geospatial Interface (UGI) to enable access to the datasets through universally accepted and standardised protocols. UGI-X addresses this gap and provides a critical digital public infrastructure to readily access geospatial data through controlled access mechanisms. At UGI-X, we are innovatively transforming the geospatial data landscape. We provide easy access to diverse geospatial data from both public and private sources. The advanced Spatial Data Analytics Engine serves analytics ready data allowing rapid application development.

Integrated Data Exchange and Analytics Covering Multiple Sectors

Innovative Use Cases

Disaster Management

Forest fire prediction and rescue
Storm Response
Disease and epidemic management

Environment

Lake surface condition monitoring
Land use threats to environment
Droughts and Floods

Urban

Land use land cover
Urban deforestation
Infrastructure Monitoring

Agriculture

Farm delineation
Crop yield estimation
Soil Monitoring