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Remote Sensing

Land Cover Change Analytics and fallow-land products for South Asia

Regional data products for the World Bank CARE project: a Land Cover Change Analytics product and a South Asia fallow-land product with web visualisation, presented to users at RDAS workshops.

Organisation
RIMES (Regional Integrated Multi-hazard Early Warning System)
Funder / programme
World Bank CARE
Period
Jul 2024 – Jul 2025
Countries
Nepal, Pakistan
Role
Data Visualization Expert

The challenge

The World Bank CARE project needed regional data products that users across South Asia could rely on for agriculture and climate-resilience decisions. Land use and land cover change, and specifically cropland left fallow, had to be presented in a form that country users could explore without remote-sensing expertise, while being built and maintained by teams spread across several countries.

Approach

Suman scoped the products with distributed teams and regional users, and coordinated requirements, data processing, interface development, deployment support and stakeholder communication.

Land cover and fallow-land data were processed with Google Earth Engine and stored and served through PostgreSQL and GeoServer. The web front ends were built with React and Next.js.

The products were demonstrated at RDAS community-engagement workshops in Nepal, Pakistan and Bangkok, and user feedback from those sessions was fed back into the products.

What was delivered

  • Land Cover Change Analytics product for South Asia
  • Fallow-land product for South Asia with a web-based visualisation tool
  • Product demonstrations and feedback sessions at RDAS workshops in Nepal, Pakistan and Bangkok
  • Deployment support and documentation for regional users

Stack

  • Google Earth Engine
  • PostgreSQL
  • GeoServer
  • Apache Tomcat
  • Next.js
  • React
  • Python

External systems are run by their organisations; availability may change.

Where it was used

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DeploymentWorkshop or trainingOfficeCluster
View as list(4 locations)

Nepal

  • Read the case study →

Pakistan

  • Read the case study →

Regional (South Asia)

  • Read the case study →

Thailand

  • Read the case study →

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