ForestSAT Pre-Conference Virtual Workshops   ForestSAT is excited to host a series of 19 pre-conference virtual workshops beginning in October 2025, offering interactive training opportunities for those interested in applying the latest geospatial and AI tools in forestry.

ForestSAT 2026 – International Conference on Forest Spatial Analysis Technologies   Gainesville, Florida · May 4–8, 2026 · Hybrid conference · ForestSAT 2026 will bring together an international community of scientists, professionals, and students to explore cutting-edge advances in forest remote sensing, spatial analysis, artificial intelligence, and related technologies.

Lu, M., Popescu, S., Malambo, L., Hudak, A., Lister, A. 2025. Mapping aboveground biomass in Oregon, Washington, Idaho and California with ICESat-2, GEDI and ancillary data. Forest Ecology and Management. 595, 123040. DOI: 10.1016/j.foreco.2025.123040

• Hudak (CMS 2022) (CCE, CMS, NACP, TE)

Kim, J., Cusworth, D. H., Ayasse, A. K., Howell, K., O'Neill, K., Duren, R. M. 2025. Performance of Airborne Imaging Spectrometers for Carbon Dioxide Detection and Emission Quantification. Journal of Geophysical Research: Atmospheres. 130(7). DOI: 10.1029/2024JD042755

• Cusworth (CMS 2022) (CCE, CMS)

Eckes-Shephard, A., A. Argles, B. Brzeziecki, P. Cox, M. De Kauwe, A. Esquivel-Muelbert, R. Fisher, G. Hurtt, J. Knauer, C. Koven, A. Lehtonen, S. Luyssaert, L. Marques, L. Ma, G. Marie, J. Moore, J. Needham, S. Olin, M. Peltoniemi, H. Sato, S. Sitch, B. Stocker, E. Weng, D. Zuleta, T. Pugh. (2025) Demography, dynamics and data: building confidence for simulating changes in the world’s forests. New Phytologist. DOI: 10.1111/nph.70643

• Hurtt (CMS 2023) (CCE, CMS)

Wang, Z., Y. Xie, C. Li, L. Ma, G. Hurtt, X. Jia, G. Mai, Z. Li. (2025) TreeFinder: A US-Scale Benchmark Dataset for Individual Tree Mortality Monitoring Using High-Resolution Aerial Imagery. The Thirty-ninth Annual Conference on Neural Information Processing Systems Datasets and Benchmarks Track, NeurIPS 2025.

Wang, Z., Y. Xie, R. Wang, L. Ma, G. Hurtt, X. Jia, Y. Li, R. Li, Z. Li, S. Xu. (2025) Carbon-Bench: A Forty-year Global-scale Benchmark Dataset for Carbon Forecasting in Forest Ecosystems. The Thirty-ninth Annual Conference on Neural Information Processing Systems Datasets and Benchmarks Track, NeurIPS 2025.

MDE (2023). Maryland’s Climate Pollution Reduction Plan Appendix: Forestry and Land Use Sector Modeling. Prepared by: Hurtt, G., L. Ma, Q. Shen. Maryland Department of the Environment. https://mde.maryland.gov/programs/air/ClimateChange/Maryland Climate Reduction Plan/Forestry and Land Use Modeling.pdf

MDE (2024). Growing 5 million trees in Maryland Progress Report 2024. Maryland Department of the Environment. https://five-million-tree-tracking-tool-maryland.hub.arcgis.com/pages/progress

MDE (2023). Maryland Tree and Forest Carbon Flux: Data and Methodology Documentation, Prepared by: Hurtt, G., C. Silva, L. Ma, Q. Shen, R. Lamb, V. Amin, M. Abdulrahman, E. Campbell, R. Marks, A. Rudee, H. Leslie-Bole Maryland Department of the Environment and Maryland Department of Natural Resources. https://mde.maryland.gov/programs/air/ClimateChange/Documents/VIMAL/MD_ForestCarbon_Flux_Methodology_01.06.23.pdf

MDE (2023). Maryland’s Climate Pollution Reduction Plan. Maryland Department of the Environment. https://mde.maryland.gov/programs/air/ClimateChange/Maryland Climate Reduction Plan/Maryland's Climate Pollution Reduction Plan - Final - Dec 28 2023.pdf

MDE (2022). Reducing greenhouse gas emissions in Maryland: A progress report. The Maryland Department of the Environment. https://mde.maryland.gov/programs/air/ClimateChange/Documents/GGRA PROGRESSS REPORT 2022.pdf

MDE (2021). Maryland Forest Carbon Inventory. Prepared by: Hurtt, G., C. Silva, R. Lamb, L. Ma, Q. Shen, A. Rudee, H. Leslie-Bole, E. Campbell, R. Marks. Maryland Department of Environment. https://mde.maryland.gov/programs/Air/ClimateChange/MCCC/MWG/Maryland Forest Carbon Inventory_briefing.pdf

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Simulated Forest Aboveground Biomass Dynamics, Northeastern USA (Archived) DOI

• Hurtt (CMS 2016) ( CCE, CMS, NACP, TE )

Wetland Salinity Maps of Select Estuary Sites in the United States, 2020 (Archived)

• Holmquist (CMS 2018) ( CCE, CMS, NACP, OBB )

Forest Aboveground Biomass 2000-2023 for Maryland, USA (Archived) DOI

• Hurtt (CMS 2020) ( CCE, CMS, TE )

Forest Aboveground Biomass 1984-2016 for Maryland, USA (Archived) DOI

• Hurtt (CMS 2020) ( CCE, CMS, TE )

Aboveground Biomass for Howland Forest, Maine, 2012-2023 (Archived)

• Hayes (CMS 2023) ( CCE, CMS )

Forest Aboveground Biomass for Maine, 2023 (Archived)

• Hayes (CMS 2023) ( CCE, CMS )

Global Rice Paddy Inventory (GRPI): a high-resolution inventory of methane emissions from rice agriculture based on Landsat satellite inundation data (Archived)

• Jacob (CMS 2023) ( CCE, CMS )

Global Fire carbon emissions from CMS-Flux inversions assimilating atmospheric carbon monoxide observations (Archived)

• Liu (CMS 2023) ( CCE, CMS )

BlueFlux: Modeled Daily CO2 and CH4 Wetland Fluxes, Southern Florida, 2000-2024 (Archived)

• Delaria (CMS 2023) ( CCE, CMS )

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