Transparent geospatial analysis,
from source data to insight.
Explore the datasets, analytical layers, and assumptions used to generate preliminary carbon assessment insights.
The Science Behind the Assessment
Data Sources
GLC-FCS30D
Global Land-Cover Product with Fine Classification System.
Hansen Global Forest Change
High-resolution global maps of 21st-century forest cover change (v1.11).
Sentinel-2 Level-2A
Surface Reflectance Harmonized dataset with cloud scoring.
Analysis Modules
Land Cover & Forest Change
Assesses the distribution of land cover classes and evaluates historical forest cover changes based on Hansen cumulative loss data.
GLC-FCS30DHansen Global Forest ChangeCanopy Density & Biomass
Canopy density is classified into five tiers. Above Ground Biomass (AGB) and Below Ground Biomass (BGB) are calculated using a static canopy-class coefficient model mapped to these density tiers.
Static coefficient modelCarbon Stock (CO₂e)
Preliminary estimated CO₂ equivalent (tCO₂e) is derived mathematically from the Above-Ground and Below-Ground Biomass carbon stocks.
Vegetation Vigor (NDVI)
Normalized Difference Vegetation Index (NDVI) is processed using Sentinel-2 optical imagery filtered for cloud cover, evaluating the relative health and density of vegetation.
Formula: (NIR - RED) / (NIR + RED)Understanding the Limitations
Carbon Assessment provides a preliminary geospatial evaluation designed for early-stage project intelligence.
- Analysis depends heavily on the spatial resolution of the source datasets (typically 10m to 30m).
- Estimations of biomass and carbon utilize static coefficients based on canopy density, which may not capture specific local ecological nuances.
- Results should be interpreted together with project-specific technical, ecological, legal, and field validation information.
- This assessment is not automatically equivalent to official project certification, regulatory MRV compliance, or carbon credit issuance.