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Technology Stack and How It Works

Technology Stack

Frontend Technologies

  • Django – For fast, server-rendered UI delivery
  • HTML, CSS, JavaScript – Core web technologies for UI and interactions
  • Material UI + jQuery – Responsive design and UI interactions

Geospatial and Mapping

  • OpenLayers – Lightweight JavaScript library for interactive, customizable web maps
  • GeoServer – Open-source map server for sharing raster and vector data via OGC standards
  • WMS (Web Map Service) – For streaming geospatial raster data (e.g. LULC, NDVI)
  • Custom Tile Layers – Integration of Google Earth Engine tiles for real-time Earth Observation data

Backend Services

  • Django – Python-based web framework for robust API and server logic
  • GDAL – Geospatial Data Abstraction Library for raster and vector processing
  • Google Earth Engine API – For accessing petabyte-scale EO data and on-the-fly analysis

Database and Storage

  • PostgreSQL – Relational database for structured project metadata
  • PostGIS – Spatial extension for PostgreSQL, enabling spatial queries and geometry storage

How It Works

The platform is designed to make the discovery, understanding, and application of Earth Observation (EO) resources simple and impactful. It follows a user-friendly workflow that enables project teams and stakeholders to move from exploration to informed action.

1. User Interface and Input

  • Users begin by selecting filters, keywords, and parameters such as theme, project phase, and project site.
  • Keyword search and spatial filtering allow targeted exploration.
  • The interface dynamically captures user preferences and sends them as query parameters.

2. Backend Processing

  • The server receives the query parameters and processes them against the pre-curated catalog of datasets, training materials, and case studies.
  • Filtering logic is applied to return only relevant records based on user selections.

3. Results and Visualization

  • Filtered results are returned and displayed
  • For selected datasets, users can explore spatial layers on an embedded map with legends and basemap controls.
  • Data can also be further analyzed, visualized, or downloaded depending on its type and availability (e.g. raster layers, time series, EO maps).