Methodology

Our approach combines state-of-the-art remote sensing with advanced artificial intelligence to provide precise, scalable monitoring for mangrove reforestation projects.

Data Collection

High-resolution aerial survey using DJI Mavic 3M at an altitude of 40 m with 80% overlap.

Preprocessing

Raw multispectral images are processed into high-density ortho-mosaics and Digital Surface Models (DSM).

AI Detection

Deep learning algorithms identify individual tree canopies based on spectral signatures and morphological features.

Growth Analysis

Trees are classified into growth levels (Low, Normal, High) based on canopy area and vegetation indices.

UAV Technology

Technical Specifications

Resolution

1-2 cm

Canopy Range

0.09-0.36 sqm

Spacing

1.5 m

Density

710 trees/rai

Quality Assurance

  • Ground control points for spatial accuracy
  • Spectral calibration for consistent growth indexing
  • Manual validation of AI detection samples
  • Multi-temporal analysis for growth trends