High-resolution multispectral drone surveys for canopy structure analysis, above-ground biomass estimation, and carbon stock monitoring in tropical forest restoration projects.
Explore Methodology →Anonymous Nature-Based Solutions (NbS) Project in Cameroon
850-hectare drone survey using DJI Matrice 300 RTK with MicaSense RedEdge-P for canopy height model and carbon stock estimation.
Tropical forest restoration monitoring demands sub-meter resolution to resolve individual canopy structures and estimate biomass with precision.
Dense canopy and varied topography make ground-based surveys labor-intensive and spatially incomplete.
Carbon certification (Verra, Gold Standard) requires traceable spatial data with documented positional accuracy.
Ground-based forest inventories can take weeks; drone surveys reduce field time by 45% while increasing spatial coverage.
From flight planning to carbon stock estimation, each step follows photogrammetry and remote sensing best practices.
Pix4Dcapture and DJI Terra used to design flight plans with 80% front and 70% side overlap at 120m AGL.
MicaSense RedEdge-P captures 5 multispectral bands (RGB + Red Edge + NIR) at 2.5 cm GSD across 12 flights.
15 RTK ground control points distributed across the block, yielding ±3 cm horizontal accuracy.
Pix4Dmapper and Agisoft Metashape used for dense image matching, bundle adjustment, and orthomosaic generation.
Digital Surface Model (DSM) and Digital Terrain Model (DTM) derived for canopy height model (CHM) computation.
CHM = DSM − DTM. Individual tree crowns segmented and heights extracted for allometric biomass estimation.
Above-ground biomass (AGB) computed using Chave et al. (2014) pantropical allometric equation; converted to carbon at 0.47 ratio.
Interactive D3.js grouped bar chart comparing traditional ground survey versus drone-based survey across time, cost, and coverage metrics.
Figure 1: Comparative analysis of ground survey vs. drone survey across three key metrics (indexed to 100). Drone surveys achieved 45% faster completion and 2.3x greater area coverage per field day.
Three.js interactive terrain visualization showing the surveyed area with canopy height encoded as color and elevation.
Figure 2: Real-time 3D terrain model with canopy height visualization. Camera orbit reveals topographic and canopy structural variation across the 850-hectare survey block.
Our drone survey methodology aligns with established literature on UAV-based forest monitoring and carbon assessment.
Paneque-Gálvez, J., McCall, M.K., Napoletano, B.M., et al. (2014). "Small Drones for Community-Based Forest Monitoring: An Assessment of Their Feasibility and Potential in Tropical Areas." Forests, 5(6), 1481-1507.
DOI: 10.3390/f5061481White, J.C., Wulder, M.A., Vastaranta, K., et al. (2021). "Drone-based structural analysis of tropical forest canopy: A review of sensor systems and applications." Remote Sensing in Ecology and Conservation, 7(3), 392-412.
DOI: 10.1002/rse2.209Zahawi, R.A., Dandois, J.P., Holl, K.D., et al. (2015). "Using lightweight unmanned aerial vehicles to monitor tropical forest recovery." Biotropica, 47(2), 157-161.
DOI: 10.1111/btp.12198