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Core Components

Detailed description of the platform's core architectural components.

Data Ingestion Layer

The data ingestion layer handles collection and validation of data from multiple sources.

Satellite Data Integration

  • Sentinel-1/2 - Radar and optical satellite imagery
  • Landsat - Multispectral satellite data
  • MODIS - Moderate Resolution Imaging Spectroradiometer
  • Automated Processing - Scheduled data acquisition and processing

IoT Sensor Data Collection

  • Real-time Validation - Data quality checks and validation
  • Device Management - Sensor registration and monitoring
  • Data Streaming - Real-time data ingestion pipelines

Ground Truth Integration

  • Field Observations - Manual data entry and validation
  • Photo Documentation - Image uploads with geotagging
  • Survey Data - Structured survey responses

Third-party API Integrations

  • GBIF - Global Biodiversity Information Facility
  • iNaturalist - Species observation data
  • Google Earth Engine - Geospatial data processing

Data Processing & Analysis Engine

Advanced processing capabilities for climate data analysis.

Geospatial Processing

  • Rasterization - Vector to raster conversion
  • Spatial Analysis - Overlay, buffer, and proximity analysis
  • Projection Handling - Coordinate system transformations

Time-series Analysis

  • Change Detection - Land use/land cover change analysis
  • Trend Analysis - Temporal pattern identification
  • Anomaly Detection - Unusual pattern identification

Machine Learning Model Inference

  • Species Detection - Audio and image-based species identification
  • Land-use Classification - Automated land cover mapping
  • Model Versioning - Track and manage model versions

Metric Calculations

  • Biodiversity Metrics - Richness, diversity, intactness indices
  • Carbon Metrics - Stock, sequestration, credit calculations
  • Aggregation - Project and site-level aggregations

Storage & Database Layer

Scalable storage solutions for diverse data types.

Cloud-based Geospatial Database

  • PostGIS - PostgreSQL with spatial extensions
  • BigQuery - Large-scale data warehousing
  • Spatial Indexing - Optimized spatial queries

Time-series Data Warehousing

  • Historical Data - Long-term data retention
  • Time-series Optimization - Efficient temporal queries
  • Data Archival - Cost-effective long-term storage

Metadata Management System

  • Asset Metadata - File and data asset tracking
  • Processing Metadata - Job and workflow tracking
  • Version Control - Track changes and versions

API & Integration Layer

Programmatic access and integration capabilities.

RESTful API Endpoints

  • Standard HTTP Methods - GET, POST, PUT, DELETE
  • JSON Responses - Consistent data format
  • Versioning - API version management

WebSocket Connections

  • Real-time Updates - Live data streaming
  • Event Notifications - Processing status updates
  • Bidirectional Communication - Client-server messaging

Webhook Support

  • Event-driven Workflows - Trigger external systems
  • Custom Integrations - Flexible integration patterns
  • Retry Logic - Reliable webhook delivery

Authentication and Authorization

  • OAuth 2.0 - Industry-standard authentication
  • API Keys - Service-to-service authentication
  • Role-based Access - Granular permission control