The Columbia Carbon Project was a cutting-edge geospatial intelligence tool designed to empower land managers and policymakers to assess the impact of land use on climate change. Developed using an Esri ArcGIS dashboard, the tool allowed lawmakers to explore carbon sequestration potential across landscapes, providing critical insights into forest management and climate mitigation strategies.
By leveraging data from the USDA Forest Service’s Forest Inventory and Analysis (FIA) program and tree growth models by Andy Grey, the Columbia Carbon Project calculated the carbon sequestration capacity of forested areas over a 30-year period. This integration of valuable data offered a clear vision for carbon assessment on a large basin scale, supporting natural climate solutions (NCS) for policy and landscape management.
This innovative project built on the insights from the NSF LSCAR Workshop (October 2019) and involved key partnerships with leading organizations such as USFS, USGS, Esri, OSU-Cascades, the Mansfield Center, and GCS. GCS played a pivotal role in advancing the project to its milestone, demonstrating the platform’s potential for future expansion in carbon and environmental assessment.
The Columbia Carbon Project demonstrated how advanced geospatial tools could help shape the future of sustainable land use and climate action.
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