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Platform Architecture Overview

The Darukaa.Earth platform operates on a modular, cloud-based architecture designed for scalability, resilience, and data security. The system integrates multiple data ingestion pipelines, processing engines, and visualization layers.

Architecture Diagram

┌─────────────────────────────────────────────────────────────┐
│                    Data Collection Layer                     │
│  ┌──────────┐  ┌──────────┐  ┌──────────┐  ┌──────────┐    │
│  │Satellite │  │   IoT    │  │  Ground  │  │  3rd     │    │
│  │  Data    │  │ Sensors  │  │  Truth   │  │  Party   │    │
│  └──────────┘  └──────────┘  └──────────┘  └──────────┘    │
└──────────────────────┬──────────────────────────────────────┘
                       │
                       ▼
┌─────────────────────────────────────────────────────────────┐
│              Data Processing & Analysis Engine                │
│  • Geospatial Processing  • ML Model Inference                │
│  • Time-series Analysis   • Metric Calculations             │
└──────────────────────┬──────────────────────────────────────┘
                       │
                       ▼
┌─────────────────────────────────────────────────────────────┐
│              Storage & Database Layer                         │
│  • PostGIS  • Time-series DB  • Metadata                    │
└──────────────────────┬──────────────────────────────────────┘
                       │
                       ▼
┌─────────────────────────────────────────────────────────────┐
│              API & Integration Layer                          │
│  • RESTful API  • Auth Services                               │
└─────────────────────────────────────────────────────────────┘

Core Components

Data Ingestion Layer

  • Satellite Data Integration - Sentinel-1/2, Landsat, MODIS
  • IoT Sensor Data Collection - Real-time sensor data validation
  • Ground Truth Integration - Field observation integration
  • Third-party APIs - GBIF, iNaturalist, Google Earth Engine

Data Processing & Analysis Engine

  • Geospatial Processing - Rasterization and spatial analysis
  • Time-series Analysis - Change detection and trend analysis
  • ML Model Inference - Species detection, land-use classification
  • Metric Calculations - Biodiversity and carbon metric aggregation
  • Modeling - Carbon stock and sequestration modeling

Storage & Database Layer

  • Geospatial Database - PostGIS for spatial data
  • Time-series Data Warehousing - Historical data storage
  • Metadata Management - Asset and processing metadata
  • Version Control - Model artifacts and algorithm versioning

API & Integration Layer

  • RESTful API - Data access and integration endpoints
  • Authentication Services - OAuth 2.0, API keys

Data Flow Architecture

The platform follows a standardized data processing pipeline:

Raw Data Collection 
    ↓
Validation & QC 
    ↓
Standardization 
    ↓
Processing & Analysis 
    ↓
Insights & Metrics 
    ↓
Reporting & Distribution