acePAWI: The first high-resolution, multi-class, Pan-Arctic Wetland Inventory
Arctic wetlands are key regulators of global methane (CH 4 ) emissions, yet uncertainty in wetland spatial extent and class composition limits the accuracy of CH 4 budget models. Current mapping products lack circumpolar coverage and consistent thematic classification standards, constraining the ability to model ecosystem responses to Arctic warming. Here, we present the first high-resolution Pan-Arctic Wetlands Inventory (PAWI), produced at 10 m resolution using multi-sensor satellite imagery (e.g., Sentinel-1,…
A machine learning classifier applied to multi-sensor satellite and terrain data produced a consistent circumpolar wetland baseline that can improve methane flux models and conservation planning.
Evidence
- Peer-reviewedJournal of Environmental Management2026-10-01
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Truvace Impact Record TRV-2026-1437, v1: “PAWI: The first high-resolution, multi-class, Pan-Arctic Wetland Inventory.” Truvace, 2026-10-15. /record/TRV-2026-1437 (accessed at citation time). sha256 6ca5376db013897a…
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