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<img src="/icons/tablet_green.svg" alt="/icons/tablet_green.svg" width="40px" /> TABLE OF CONTENTS
The following datasets are used with the NbS Screening Tool, either to perform the land cover eligibility checks or for the carbon potential calculations:
- Space Intelligence's Global Harmonised Layers (30m resolution) screening-grade dataset, which includes present day land cover (2024), present day forest carbon stock in tC/ha (2024) and historical deforestation (2011-2023). The dataset is built from a smart combination and post-processing of 18 open datasets, which Space Intelligence has built and continues to update to provide a reliable, consistent and globally available dataset. Within the NbS Screening Tool, the dataset is used for the land cover eligibility and historical deforestation check, and for deriving existing forest carbon stock values.
- Growth curve parameters (Robinson et al, 2025) for aboveground live carbon in naturally regrowing forests; this dataset is used within the ARR module for ex-ante predictions of tree growth and carbon removals potential.
- Tropical and Subtropical Wetlands Distribution dataset (Gumbricht et al., 2017); shows distribution of wetland, peatland and peat depth covering the tropics and subtropics at 231m resolution. Within the NbS Screening Tool, this dataset is used to assess percentage of peatland and/or tidal wetland vegetation within user-uploaded project boundaries.
- Deforestation risk maps (ha/pixel/year), either:
- Official or preliminary coarse resolution (100m) risk maps from Verra, where available; or
- Space Intelligence risk maps (30m resolution), derived from our in-house jurisdictional Forest Cover Benchmark Maps.
Deforestation risk maps are only used within the REDD module, for historical forest cover eligibility checks across the relevant Historical Reference Period, assessment of deforestation risk within user-uploaded project boundaries, and to estimate carbon emissions avoidance potential (in combination with present day forest carbon stock derived from our Global Harmonised Layers dataset).