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Land Emissions and Removals Navigator (LEARN) Analysis Toolkit

This repository contains the code and methodology supporting the publication:

Glen, E., Scafidi, A., Harris, N., & Birdsey, R. (In Review). Support for Subnational Entities to Develop and Monitor Land-based Greenhouse Gas Reduction Activities. Forests.

Purpose

This toolkit facilitates detailed analyses of forest carbon dynamics, land-use transitions, and community impacts, aligning with guidelines from USDA, IPCC, and the U.S. Community Protocol. It provides a standardized framework to support subnational greenhouse gas (GHG) inventories as described in our publication.

Repository Branches

This repository uses multiple branches to manage different stages of development:

  • main: Stable, documented codebase reflecting methods used in the publication.
  • development: Active branch for ongoing enhancements and new features.
  • analyses/XYZ: Feature-specific branches for methodological experiments or specific analyses.

Main Branch Structure

The following structure applies specifically to the main branch:

learn_analysis/
├── forests_analysis.py          # Forest carbon accounting script
├── communities_analysis.py      # Community-level impact analysis script
├── analysis_core.py             # Core analytical functions and geoprocessing logic
├── config.py                    # Centralized configuration settings (paths, constants)
├── funcs.py                     # General-purpose utility functions
├── lookups.py                   # Lookup tables used in classifications

Methodological Details

Detailed methodology, including activity data preparation, emissions and removals calculation, and integration of geospatial datasets, are comprehensively described in Sections 2.3 and 2.4 of our publication.

Data Sources

Variable / Category Dataset Resolution Years Available in Tool
Land Cover
Land Cover National Land Cover Database (NLCD) 30 m 2001, 2004, 2006, 2008, 2011, 2013, 2016, 2019, 2021, 2023
Tree Canopy
Tree Canopy Cover National Land Cover Database (NLCD) 30 m 2011, 2013, 2016, 2019, 2021, 2023
Forest Disturbances
Forest Fires Monitoring Trends in Burn Severity (MTBS) 30 m 2001–2023 (annual)
Insect & Disease Insect and Disease Detection Survey Varies 2001–2023 (annual)
Timber Harvest & Other Global Forest Watch Tree Cover Loss 30 m 2001–2023 (annual)
Estimating Emission and Removal Factors – Removal Factors
Forest Type FIA Forest Type Groups 30 m Single estimate (2014–2018)
Plantations Spatial Database of Planted Trees (v1) Varies 2015
Forest Age FIA Forest Stand Age 30 m Single estimate (2014–2018)
Undisturbed Forests FIA Database Non-spatial Varies by region/variables
Afforestation / Reforestation FIA Database Non-spatial Varies by region/variables
Trees Outside Forests (Removal) Urban Trees Emission & Removal Factors Non-spatial 2005
Estimating Emission and Removal Factors – Emission Factors
Carbon Stocks BIGMAP Forest Carbon Pools 30 m Single estimate (2014–2018)
Trees Outside Forests (Emission) Urban Trees Emission & Removal Factors Non-spatial 2005
Forest Disturbances Regionally Modeled Disturbance Database Non-spatial Derived from FIA data (2001–2010)

Contributing and Maintenance

We encourage contributions and feedback through GitHub Issues and pull requests.

Citation and License

If using this code for academic purposes, please cite:

Glen, E., Scafidi, A., Harris, N., & Birdsey, R. (2025). Support for Subnational Entities to Develop and Monitor Land-based Greenhouse Gas Reduction Activities. Forests, 2025.

This project is licensed under the MIT License.

Acknowledgments

We are pleased to acknowledge the many organizations and individuals who have contributed to this work. We extend our gratitude to ICLEI-USA for leading community engagement, organizing training cohorts, and hosting the LEARN Tool on their website. Susan Minnemeyer and the Chesapeake Conservancy have been instrumental in piloting the use of high-resolution tree canopy data and organizing communities in the Chesapeake BayWatershed. Barry (Ty) Wilson (USDA FS) has provided endless support in utilizing the BIGMAP data products. Andrew Lister (USDA FS) has helped to guide data and user interface priorities through constructive review and advising. We are appreciative of Garrett Rose and Carolyn Ramirez from the National Resources Defense Council for their collaboration and interest in assessing federally owned forests. We thank Donna Lee for her work on the LEARN tool’s conceptualization and early pilot testing. We are indebted to the various communities and organizations that actively participated in the piloting of the LEARN Tool. Finally, we thank our GIS and web development partners, Blue Raster, for their contribution to creating and maintaining the LEARN platform. Eric Ashcroft (Blue Raster) has been instrumental in leading technical development and facilitating strategic engagement.

Contact

Please contact Erin Glen ([email protected]) with any questions or data requests.

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