Science-based dMRV at work
Accurate, verifiable data is the backbone of credible blue-carbon restoration. Our digital MRV turns raw data into actionable insights.
Data collection with precision
from above
Traditional carbon MRV relies on manual ground sampling: slow, limited, and often logistically impossible in muddy, tidal environments. Stratification without a remote view is guesswork, and each plot captures just a few square meters.
Digital MRV changes that. Drone-based LiDAR and multispectral imaging can capture 1,000× more area in the same time, at 10× the resolution of satellites.
It reveals vegetation health, species distribution, canopy height, and terrain features that a ruler and clipboard could never record — creating a data-rich foundation for large-scale, verifiable carbon estimation.
Smarter models for complex ecosystems
Blue-carbon ecosystems are highly heterogeneous: growth varies with micro-topography, salinity, hydrology, and tidal exposure. Estimating biomass from sparse field plots alone is unreliable, especially across vast, water-logged areas that are hard to reach by boat and foot.
Digital MRV bridges this gap. By intelligently combining limited ground data with high-resolution drone measurements, we scale local samples to entire project areas. This captures spatial variability that satellites can’t resolve and delivers accurate, reproducible biomass estimates.
LiDAR, multispectral, RGB
We’ve collected and processed some of the largest high-resolution LiDAR and multispectral dataset for mangroves. Each flight captures millions of 3D points, mapping tree height, canopy structure, terrain, and hydrology. Multispectral data adds another layer, measuring vegetation indices like NDVI to detect plant health and stress. Together, they build a digital twin of the mangrove ecosystem.
Using advanced machine learning and remote-sensing pipelines, we process the data into detailed vegetation maps, topographic models, and change-detection layers. These maps guide site selection, monitor survival rates, and quantify forest health — ensuring that restoration is data-driven, not assumption-driven.
Turning raw data into insight
We process aerial data through advanced spatial analysis and machine learning to create detailed maps of biomass, canopy cover, elevation, and water flow. These maps reveal recovery patterns, highlight degradation risks, and guide targeted replanting.
High-resolution topography allows us to model tides and flood risks, providing essential context for restoration design. Continuous monitoring tracks survival, growth, and canopy expansion, helping partners refine planting strategies and boost restoration success.
Carbon modeling to quantify blue carbon at scale
By combining LiDAR- and multispectral-derived biomass estimates with field-validated models, we translate forest structure into robust carbon-stock assessments.
The result: science-based carbon baselines and growth curves that feed directly into certification frameworks like Verra and Plan Vivo, enabling verifiable blue-carbon credits.
Turning measurement into market confidence
Our digital MRV reduces months of manual fieldwork to a fraction of the time by combining limited ground sampling with large-scale drone surveys. This approach covers up to 1,000× more area while maintaining the accuracy and verification required for certification.
Projects save significant time, cost, and logistical effort, gaining faster access to credible results. The outcome: scalable, defensible carbon data and streamlined monitoring workflows that deliver higher-quality, higher-value carbon credits backed by measurable impact.
