Hurtt, George: University of Maryland (Project Lead)
Dubayah, Ralph: University of Maryland (Co-Investigator)
Hultman, Nathan: University of Maryland (Co-Investigator)
Lister, Andrew: USDA Forest Service (Co-Investigator)
Park, Taejin: NASA Ames Research Center / BAERI (Co-Investigator)
Sahajpal, Ritvik: University of Maryland (Co-Investigator)
Tang, Hao: National University of Singapore (Co-Investigator)
Campbell, Elliott: Maryland Department of Natural Resources (Collaborator)
Chatterjee, Abhishek: NASA JPL (Collaborator)
Johnson, Kristofer (Kris): USDA Forest Service (Collaborator)
Nemani, Ramakrishna (Rama): NASA ARC (Collaborator)
Ott, Lesley: NASA GSFC GMAO (Collaborator)
Poulter, Benjamin (Ben): NASA GSFC (Collaborator)
Morales, Valeria: University of Maryland (Participant)
Silva, Carlos: University of Maryland (Post-Doc)
Boudreau, TeeJay: Rhode Island Department of Environmental Management (Stakeholder)
Canick, Michelle: The Nature Conservancy (Stakeholder)
Carpenter, Dunbar: Massachusetts Executive Office of Energy & Environmental Affairs (Stakeholder)
Chu, Hong-Hanh: Massachusetts Executive Office of Energy & Environmental Affairs (Stakeholder)
Czarnecki, Greg: Pennsylvania DCNR Bureau of Forestry (Stakeholder)
de Mooy, Jennifer: State of Delaware, Division of Energy and Climate (Stakeholder)
DeCola, Philip (Phil): University of Maryland (Stakeholder)
Feldt, Rob: Maryland Forest Service (Stakeholder)
Gonsalves, Dena: Rhode Island Department of Environmental Management (Stakeholder)
Hagell, Suzanne: New York State Department of Environmental Conservation, Office of Climate Change (Stakeholder)
Kamel, Marwa: New Jersey Department of Environmental Protection (Stakeholder)
Kroon, Jimmy: Delaware Forest Service (Stakeholder)
Lehman, Shawn: Pennsylvania DCNR Bureau of Forestry (Stakeholder)
Leon, Bennet: Vermont Department of Environmental Conservation (Stakeholder)
Lynch, Cary: Connecticut Department of Energy and Environmental Protection (Stakeholder)
Mapes, Jeffrey: New York State Department of Environmental Conservation, Office of Climate Change (Stakeholder)
Murphy, Charles: Baltimore City Recreation & Parks (Stakeholder)
Ngai, Anna: The Regional Greenhouse Gas Initiative (RGGI) (Stakeholder)
O'Connor, Robert: Massachusetts Executive Office of Energy & Environmental Affairs (Stakeholder)
Randolph, Nathan: Baltimore City Recreation & Parks (Stakeholder)
Robbins, Nathan: Maine Department of Environmental Protection (Stakeholder)
Rudee, Alexander (Alex): World Resources Institute (WRI) (Stakeholder)
Skoglund, Chris: New Hampshire Department of Environmental Resources (Stakeholder)
Snyder, Jared: New York State Department of Environmental Conservation, Office of Climate Change (Stakeholder)
St. Laurent, Kari: Delaware DNREC (Stakeholder)
Strebel, Don: Versar, Inc. (Stakeholder)
Townsend, Kevin: Blue Source (Stakeholder)
Lamb, Rachel: Maryland Department of Environment (DEP) (Student-Graduate)
Ma, Lei: University of Maryland (Student-Graduate)
Project Funding:
2017 - 2020
NRA: 2016 NASA: Carbon Monitoring System
Funded by NASA
Abstract:
The overall goal of our project is the continuing development of a framework for estimating high-resolution forest carbon stocks and dynamics and future carbon sequestration potential using remote sensing and ecosystem modeling linked with
existing field observation systems such as the USFS Forest Inventory and Analysis (FIA) network. In particular, we seek to demonstrate an approach that provides the basis for the rapid expansion from previous prototypes at the county/state-scale to cover a multi-state region encompassing the Regional Greenhouse Gas Initiative (RGGI) domain, and ultimately the coterminous U.S. Additionally, we prepare for national scale prognostic ecosystem modeling using data from the Global Ecosystem Dynamics Investigation (GEDI). Our intent is to drive the model at 1 km resolution over the lower 48 states using the first year of canopy height observations from GEDI. Specifically, we will address the following objectives: (1) Build upon, extend, and improve our existing methodology for carbon stock estimation and uncertainty based on lessons learned from our Phase 2 studies. (2) Provide wall-to-wall, high-resolution, estimates of carbon stocks, carbon sequestration potential, and their uncertainties for multi-state state RGGI+. (3) Validate and enhance national biomass maps using Forest Inventory and Analysis (FIA) data and high- resolution biomass maps over an expanded domain. (4) Demonstrate MRV efficacy to meet stakeholder needs at regional scale, and a vision for future national-scale deployment. (5) Prototype national scale forest carbon products for CONUS using GEDI data. Our proposed research directly responds to the research topics identified for this phase of CMS. Additionally, data from airborne lidar, airborne optical, and spaceborne platforms are essential to this project as is societal relevance, with active stakeholder engagement planned at state, regional, and national scales.
Publications:
Basu, S., Mukhopadhyay, S., Karki, M., DiBiano, R., Ganguly, S., Nemani, R., Gayaka, S. 2018. Deep neural networks for texture classification--A theoretical analysis. Neural Networks. 97, 173-182. DOI: 10.1016/j.neunet.2017.10.001
Chini, L., Hurtt, G., Sahajpal, R., Frolking, S., Klein Goldewijk, K., Sitch, S., Ganzenmuller, R., Ma, L., Ott, L., Pongratz, J., Poulter, B. Land-Use Harmonization Datasets for Annual Global Carbon Budgets DOI: 10.5194/essd-2020-388
Dolan, K. A., Hurtt, G. C., Flanagan, S. A., Fisk, J. P., Sahajpal, R., Huang, C., Page, Y. L., Dubayah, R., Masek, J. G. 2017. Disturbance Distance: quantifying forests' vulnerability to disturbance under current and future conditions. Environmental Research Letters. 12(11), 114015. DOI: 10.1088/1748-9326/aa8ea9
Fisher, R. A., Koven, C. D., Anderegg, W. R. L., Christoffersen, B. O., Dietze, M. C., Farrior, C. E., Holm, J. A., Hurtt, G. C., Knox, R. G., Lawrence, P. J., Lichstein, J. W., Longo, M., Matheny, A. M., Medvigy, D., Muller-Landau, H. C., Powell, T. L., Serbin, S. P., Sato, H., Shuman, J. K., Smith, B., Trugman, A. T., Viskari, T., Verbeeck, H., Weng, E., Xu, C., Xu, X., Zhang, T., Moorcroft, P. R. 2017. Vegetation demographics in Earth System Models: A review of progress and priorities. Global Change Biology. 24(1), 35-54. DOI: 10.1111/gcb.13910
Flanagan, S. A., Hurtt, G. C., Fisk, J. P., Sahajpal, R., Zhao, M., Dubayah, R., Hansen, M. C., Sullivan, J. H., Collatz, G. J. 2019. Potential Transient Response of Terrestrial Vegetation and Carbon in Northern North America from Climate Change. Climate. 7(9), 113. DOI: 10.3390/cli7090113
Huang, W., Dolan, K., Swatantran, A., Johnson, K., Tang, H., O'Neil-Dunne, J., Dubayah, R., Hurtt, G. 2019. High-resolution mapping of aboveground biomass for forest carbon monitoring system in the Tri-State region of Maryland, Pennsylvania and Delaware, USA. Environmental Research Letters. 14(9), 095002. DOI: 10.1088/1748-9326/ab2917
Huang, W., Swatantran, A., Duncanson, L., Johnson, K., Watkinson, D., Dolan, K., O'Neil-Dunne, J., Hurtt, G., Dubayah, R. 2017. County-scale biomass map comparison: a case study for Sonoma, California. Carbon Management. 8(5-6), 417-434. DOI: 10.1080/17583004.2017.1396840
Hurtt, G. C., Andrews, A., Bowman, K., Brown, M. E., Chatterjee, A., Escobar, V., Fatoyinbo, L., Griffith, P., Guy, M., Healey, S. P., Jacob, D. J., Kennedy, R., Lohrenz, S., McGroddy, M. E., Morales, V., Nehrkorn, T., Ott, L., Saatchi, S., Sepulveda Carlo, E., Serbin, S. P., Tian, H. 2022. The NASA Carbon Monitoring System Phase 2 synthesis: scope, findings, gaps and recommended next steps. Environmental Research Letters. 17(6), 063010. DOI: 10.1088/1748-9326/ac7407
Hurtt, G. C., Chini, L., Sahajpal, R., Frolking, S., Bodirsky, B. L., Calvin, K., Doelman, J. C., Fisk, J., Fujimori, S., Klein Goldewijk, K., Hasegawa, T., Havlik, P., Heinimann, A., Humpenoder, F., Jungclaus, J., Kaplan, J. O., Kennedy, J., Krisztin, T., Lawrence, D., Lawrence, P., Ma, L., Mertz, O., Pongratz, J., Popp, A., Poulter, B., Riahi, K., Shevliakova, E., Stehfest, E., Thornton, P., Tubiello, F. N., van Vuuren, D. P., Zhang, X. 2020. Harmonization of global land use change and management for the period 850-2100 (LUH2) for CMIP6. Geoscientific Model Development. 13(11), 5425-5464. DOI: 10.5194/gmd-13-5425-2020
Hurtt, G., Zhao, M., Sahajpal, R., Armstrong, A., Birdsey, R., Campbell, E., Dolan, K., Dubayah, R., Fisk, J. P., Flanagan, S., Huang, C., Huang, W., Johnson, K., Lamb, R., Ma, L., Marks, R., O'Leary, D., O'Neil-Dunne, J., Swatantran, A., Tang, H. 2019. Beyond MRV: high-resolution forest carbon modeling for climate mitigation planning over Maryland, USA. Environmental Research Letters. 14(4), 045013. DOI: 10.1088/1748-9326/ab0bbe
Kumar, U., Ganguly, S., Nemani, R. R., Raja, K. S., Milesi, C., Sinha, R., Michaelis, A., Votava, P., Hashimoto, H., Li, S., Wang, W., Kalia, S., Gayaka, S. 2017. Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing. Remote Sensing. 9(11), 1105. DOI: 10.3390/rs9111105
Lamb, R. L., Hurtt, G. C., Boudreau, T. J., Campbell, E., Sepulveda Carlo, E. A., Chu, H., de Mooy, J., Dubayah, R. O., Gonsalves, D., Guy, M., Hultman, N. E., Lehman, S., Leon, B., Lister, A. J., Lynch, C., Ma, L., Martin, C., Robbins, N., Rudee, A., Silva, C. E., Skoglund, C., Tang, H. 2021. Context and future directions for integrating forest carbon into sub-national climate mitigation planning in the RGGI region of the U.S. Environmental Research Letters. 16(6), 063001. DOI: 10.1088/1748-9326/abe6c2
Lamb, R. L., Ma, L., Sahajpal, R., Edmonds, J., Hultman, N. E., Dubayah, R. O., Kennedy, J., Hurtt, G. C. 2021. Geospatial assessment of the economic opportunity for reforestation in Maryland, USA. Environmental Research Letters. 16(8), 084012. DOI: 10.1088/1748-9326/ac109a
Ma, L., Hurtt, G. C., Chini, L. P., Sahajpal, R., Pongratz, J., Frolking, S., Stehfest, E., Klein Goldewijk, K., O'Leary, D., Doelman, J. C. 2020. Global rules for translating land-use change (LUH2) to land-cover change for CMIP6 using GLM2. Geoscientific Model Development. 13(7), 3203-3220. DOI: 10.5194/gmd-13-3203-2020
Ma, L., Hurtt, G., Ott, L., Sahajpal, R., Fisk, J., Lamb, R., Tang, H., Flanagan, S., Chini, L., Chatterjee, A., Sullivan, J. Global Evaluation of the Ecosystem Demography Model (ED v3.0) DOI: 10.5194/gmd-2021-292
Ma, L., Hurtt, G., Tang, H., Lamb, R., Campbell, E., Dubayah, R., Guy, M., Huang, W., Lister, A., Lu, J., O'Neil-Dunne, J., Rudee, A., Shen, Q., Silva, C. 2021. High-resolution forest carbon modelling for climate mitigation planning over the RGGI region, USA. Environmental Research Letters. 16(4), 045014. DOI: 10.1088/1748-9326/abe4f4
McDowell, N. G., Allen, C. D., Anderson-Teixeira, K., Aukema, B. H., Bond-Lamberty, B., Chini, L., Clark, J. S., Dietze, M., Grossiord, C., Hanbury-Brown, A., Hurtt, G. C., Jackson, R. B., Johnson, D. J., Kueppers, L., Lichstein, J. W., Ogle, K., Poulter, B., Pugh, T. A. M., Seidl, R., Turner, M. G., Uriarte, M., Walker, A. P., Xu, C. 2020. Pervasive shifts in forest dynamics in a changing world. Science. 368(6494). DOI: 10.1126/science.aaz9463
Tang, H., Ma, L., Lister, A., O'Neill-Dunne, J., Lu, J., Lamb, R. L., Dubayah, R., Hurtt, G. 2021. High-resolution forest carbon mapping for climate mitigation baselines over the RGGI region, USA. Environmental Research Letters. 16(3), 035011. DOI: 10.1088/1748-9326/abd2ef
More details may be found in the following project profile(s):
