Publications
2024
Hurtt, G. C., L. Ma, R. Lamb, E. Campbell, R. O. Dubayah, M. Hansen, C. Huang, H., Leslie-Bole, A. Lister, J. Lu, F. M. S. Panday, Q. Shen*, C. E. Silva, H. Tang. 2024. Beyond MRV: Combining Remote Sensing and Ecosystem Modeling for Geospatial Monitoring and Attribution of Forest Carbon Fluxes Over Maryland, USA. Environmental Research Letters. 10.1088/1748-9326/ad9035
Hurtt, G., Ma, L., Shen, Q. 2024. Potential Pathways for Growing the Forest Carbon Sink. In Maryland's Climate Pollution Reduction Plan. Appendix: Forestry and Land Use Sector Modeling.
2023
Hurtt, G., C. Silva, L. Ma, Q. Shen, R. Lamb, V. Amin, M. Abdulrahman, E. Campbell, R. Marks, A. Rudee, Haley Leslie-Bole. 2023. Maryland Tree and Forest Carbon Flux: Data and Methodology Documentation, Maryland Department of the Environment and Maryland Department of Natural Resources. Link
Kennedy, K. M., A. Zhao, S. J. Smith, K. O’Keefe, B. Phelps, S. Kennedy, R. Cui, C. Dahl, S. Dodds, S. Edelstein, S. Francis, E. Ghosh, G. Hurtt, D. Irani, L. Ma, Y. Ou, R. Praisa, A. Taylor, A. Trivedi, N. Wetzler, J. Williams, N. Hultman. 2023. Maryland’s Climate Pathway: Ananalysis of actions the State can take to achieve Maryland’s nation-leading greenhouse gasemissions reduction goals. 118 pages. Center for Global Sustainability, University of Maryland.
Wang, Z., Xie, Y., Jia, X., Ma, L., Hurtt, G. 2023. High-Fidelity Deep Approximation of Ecosystem Simulation over Long-Term at Large Scale. Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems. 10.1145/3589132.3625577
Ma, L., Hurtt, G., Tang, H., Lamb, R., Lister, A., Chini, L., Dubayah, R., Armston, J., Campbell, E., Duncanson, L., Healey, S., O’Neil-Dunne, J., Ott, L., Poulter, B. & Shen, Q. (2023) Spatial heterogeneity of global forest aboveground carbon stocks and fluxes constrained by spaceborne lidar data and mechanistic modeling. Global Change Biol (2023). 10.1111/gcb.16682
2022
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., Carlo, E. S., Serbin, S. P. & Tian, H. 2022. The NASA Carbon Monitoring System Phase 2 synthesis: scope, findings, gaps and recommended next steps. Environ Res Lett 17, 063010. 10.1088/1748-9326/ac7407
Ma, L., Hurtt, G., Ott, L., Sahajpal, R., Fisk, J., Lamb, R., Tang, H., Flanagan, S., Chini, L., Chatterjee, A. & Sullivan, J. 2022. Global evaluation of the Ecosystem Demography model (ED v3.0). GMD 15, 1971–199410.5194/gmd-15-1971-2022
Cavender-Bares, J., Schneider, F. D., Santos, M. J., Armstrong, A., Carnaval, A., Dahlin, K. M., Fatoyinbo, L., Hurtt, G. C., Schimel, D., Townsend, P. A., Ustin, S. L., Wang, Z. & Wilson, A. M. 2022. Integrating remote sensing with ecology and evolution to advance biodiversity conservation. Nat Ecol Evol 1–14. 10.1038/s41559-022-01702-5
2021
Chini, L., Hurtt, G., Sahajpal, R., Frolking, S., Goldewijk, K. K., Sitch, S., Ganzenmüller, R., Ma, L., Ott, L., Pongratz, J. & Poulter, B. 2021. Land-use harmonization datasets for annual global carbon budgets. Earth Syst Sci Data 13, 4175–4189
Lamb, R. L., Hurtt, G., Boudreau, T. J., Campbell, E., Carlo, E. S., Chu, H.-H., Mooy, J. de, Dubayah, R. O., Gonsalves, D., Guy, M., Hultman, N. E., Lehman, S., Leon, B., Lister, A., Lynch, C., Ma, L., Martin, C. R., Robbins, N. P., 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. Environ Res Lett. 10.1088/1748-9326/abe6c2
Tang, H., Ma, L., Lister, A., O'Neil-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. Environ Res Lett 16, 035011. 10.1088/1748-9326/abd2ef
Ma, L., Hurtt, G., Tang, H., Lamb, R., Campbell, E., Dubayah, R., Guy, M., Huang, W., Lister, A., Lu, J., Dunne, J. O., Rudee, A., Shen, Q. & Silva, C. High-resolution forest carbon modelling for climate mitigation planning over the RGGI region, USA. Environmental Research Letters. 10.1088/1748-9326/abe4f4
2020
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), eaaz9463. https://doi.org/10.1126/science.aaz9463
2019
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. 10.3390/cli7090113
Hurtt, G., Zhao, M., Sahajpal, R., Armstrong, A., Birdsey, R., Campbell, E., Dolan, K. A., Dubayah, R., Fisk, J. P., Flanagan, S. A., Huang, C., Huang, W., Johnson, K. D., 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. 10.1088/1748-9326/ab0bbe
Huang, W., Dolan, K. A., Swatantran, A., Johnson, K. D., Tang, H., ONeil-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. 10.1088/1748-9326/ab2917
2018
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. 10.1016/j.neunet.2017.10.001
2017
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. 10.1088/1748-9326/aa8ea9
Finley, A. O., Banerjee, S., Zhou, Y., Cook, B. D., Babcock, C. 2017. Joint hierarchical models for sparsely sampled high-dimensional LiDAR and forest variables.Remote Sensing of Environment. 190, 149-161. DOI: 10.1016/j.rse.2016.12.004 .
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. 10.1111/gcb.13910
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. 10.1080/17583004.2017.1396840
Johnson, K. D., Domke, G. M., Russell, M. B., Walters, B., Hom, J., Peduzzi, A., Birdsey, R., Dolan, K., Huang, W. 2017. Estimating aboveground live understory vegetation carbon in the United States. Environmental Research Letters. 12(12), 125010. 10.1088/1748-9326/aa8fdb
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. 10.3390/rs9111105
2016
Babcock, C., Finley, A. O., Cook, B. D., Weiskittel, A., Woodall, C. W. 2016. Modeling forest biomass and growth: Coupling long-term inventory and LiDAR data. Remote Sensing of Environment. 182, 1-12. DOI: 10.1016/j.rse.2016.04.014 .
Datta, A., Banerjee, S., Finley, A. O., Gelfand, A. E. 2016. Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets. Journal of the American Statistical Association. 111(514), 800-812. DOI: 10.1080/01621459.2015.1044091 .
Datta, A., Banerjee, S., Finley, A. O., Gelfand, A. E. 2016. On nearest-neighbor Gaussian process models for massive spatial data. Wiley Interdisciplinary Reviews: Computational Statistics. 8(5), 162-171. DOI: 10.1002/wics.1383 .
Finley, A.O., S. Banerjee, Y., Zhou, B.D. Cook. 2016. Process-based hierarchical models for coupling high-dimensional LiDAR and forest variables over large geographic domains. arXiv: 1603.07409 .
Flanagan, S., Hurtt, G., Fisk, J., Sahajpal, R., Hansen, M., Dolan, K., Sullivan, J., Zhao, M. 2016. Potential Vegetation and Carbon Redistribution in Northern North America from Climate Change. Climate. 4(1), 2. DOI: 10.3390/cli4010002 .
Hurtt, G. C., Thomas, R. Q., Fisk, J. P., Dubayah, R. O., Sheldon, S. L. 2016. The Impact of Fine-Scale Disturbances on the Predictability of Vegetation Dynamics and Carbon Flux. PLOS ONE. 11(4), e0152883. DOI: 10.1371/journal.pone.0152883 .
Swatantran, A., Tang, H., Barrett, T., DeCola, P., Dubayah, R. 2016. Rapid, High-Resolution Forest Structure and Terrain Mapping over Large Areas using Single Photon Lidar. Scientific Reports. 6, 28277. DOI: 10.1038/srep28277 .
Tang, H., Swatantran, A.,Barrett, T., DeCola, P., Dubayah, R. 2016. Voxel-Based Spatial Filtering Method for Canopy Height Retrieval from Airborne Single-Photon Lidar. Remote Sens. 2016, 8(9), 771; doi:10.3390/rs8090771
2015
Babcock, C., Finley, A. O., Bradford, J. B., Kolka, R., Birdsey, R., Ryan, M. G. 2015. LiDAR based prediction of forest biomass using hierarchical models with spatially varying coefficients. Remote Sensing of Environment. 169, 113-127. DOI: 10.1016/j.rse.2015.07.028 .
Local discrepancies in continental scale biomass maps: a case study over forested and non-forested landscapes in Maryland, USA. Carbon Balance and Management. 10(1). DOI: 10.1186/s13021-015-0030-9.
style="text-align: left"Johnson, K. D., Birdsey, R., Cole, J., Swatantran, A., O'Neil-Dunne, J., Dubayah, R., Lister, A. 2015. Integrating LIDAR and forest inventories to fill the trees outside forests data gap. Environmental Monitoring and Assessment. 187(10). DOI: 10.1007/s10661-015-4839-1.
2014
O'Neil-Dunne, J., MacFaden, S., Royar, A., Reis, M., Dubayah, R., & Swatantran, A. (2014). An object-based approach to statewide land cover mapping. In, Proceedings of ASPRS 2014 Annual Conference. Louisville, KY, USA. Link .
Johnson, K., R. Birdsey, A. Finley, A. Swatantran, R. Dubayah, C. Wayson, and R. Riemann. 2014. Integrating forest inventory and analysis data into a LIDAR-based carbon monitoring system. Carbon Balance and Management 9:3.
2013
Birdsey, Richard; Angeles-Perez, Gregorio; Kurz, Werner K.; Lister, Andrew; Olguin, Marcela; Pan, Yude; Wayson, Craig; Wilson, Barry; Johnson, Kristofer. 2013. Approaches to monitoring changes in carbon stocks for REDD+. Carbon Management. 4(5): 519-537.
Cole, J. A., K. D. Johnson, R. A. Birdsey, Y. Pan, C. A. Wayson, K. McCullough, C. M. Hoover, D. Y. Hollinger, J. B. Bradford, M. G. Ryan, R. K. Kolka, P. Weishampel, K. L. Clark, N. S. Skowronski, J. Hom, S. V Ollinger, S. G. McNulty, and M. J. Gavazzi. 2013. Database for landscape-scale carbon monitoring sites. General Technical Report NRS-119. U.S. Department of Agriculture, Forest Service, North Central Station, Newtown Square, PA.
2012
O’Neil-Dunne, Jarlath P.M., Sean W. MacFaden, Anna R. Royar, and Keith C. Pelletier. 2012. An Object-based System for LiDAR Data Fusion and Feature Extraction. Geocarto International (May 29): 1–16. doi:10.1080/10106049.2012.689015.
Selected Presentations
2016
Dolan K. A. et al (2016)High Resolution Forest Carbon Monitoring and Modeling Across Three MidAtlantic States. Maryland State Geographic Information Committee Quarterly meeting Hagerstown, MD April 20 2016
Huang, W., Dolan, K.A., Johnson, K., O-Neil Dune, J., Dubayah, R., & Hurtt, G. (2016). High- Resolution Mapping of Aboveground Biomass for Forest Carbon Monitoring - A Case Study in Three Mid-Atlantic States, USA. American Geophysical Union Dec 2016 Fall Meeting. San Francisco, CA.
Hurtt, G. C. et al. (2016). Carbon Monitoring and Modeling for Restoration. Climate Action 2016 Forum, University of Maryland, 4 May.
Hurtt, G. C. et al (2016). Ecosystem modeling context for satellite carbon data products. NASA-ESA Biomass workshop, Smithsonian, 2 June.
2015
Finley, A.O. (2015) Bayesian Functional Data Models for Coupling High-Dimensional LiDAR and Forest Variables over Large Geographic Domains. 30th International Workshop on Statistical Modelling. July 7, 2015. Linz, Austria. http://ifas.jku.at/iwsm2015. Invited.
Hurtt, G. C., R. Birdsey, P. DeCola, K. Dolan, R. Dubayah, V. Escobar, A. Finley, S.Flanagan, W. Huang, C. Huang, K. Johnson, J. O-Neill-Dunne, M. Zhao (2015). High-Resolution Carbon Monitoring and Modeling: Continuing Prototype Development and Deployment. NASA-CMS Science Team Meeting, Pasadena, Nov 16.
Hurtt, G.C., R. Birdsey, M. E. Brown, P. DeCola, K. Dolan, R. Dubayah, V. M. Escobar, A. Finley, C. Huang, K. Johnson, J. O'Neil-Dunne, M. Zhao (2015) High-Resolution Carbon Monitoring and Modeling: Continuing Prototype Development and Deployment. #135 poster presentation at the 2015 NASA Carbon Cycle & Ecosystem Joint Science Workshop, College Park, MD, 20-24 April.
Zhao, M., C. Huang, G. Hurtt, R. Dubayah, J. Fisk, R. Sahajpal, et al. (2015), High-Resolution Modeling Disturbance-Induced Forest Carbon Dynamics with Lidar
Zhao, M., C. Huang, G. Hurtt, R. Dubayah, J. Fisk, A. Swatantran, W. Huang, H. Tang (2015) Integrating Lidar Canopy Height and Landsat-based Forest Disturbance History with Ecosystem Demography Model for Carbon Change Estimation, A Case in Charles County, Maryland. #147 poster presentation at the 2015 NASA Carbon Cycle & Ecosystem Joint Science Workshop, College Park, MD, 20-24 April.
2014
Hurtt, G. C., R. Birdsey, M. Brown, R. Dubayah, P. DeCola, V. Escobar, A. Finley, C. Huang, K. Johnson, J. O’Neil-Dunne (2014). High-Resolution Carbon Monitoring and Modeling: Continuing Prototype Development, NASA-CMS Science Team Meeting, Bethesda.
2013
Dubayah R., Hurtt G., Huang C., Swatantran A., Dunne J.O’Neil, Birdsey R., Johnson K., Finley A., DeCola P. (2013) High- Resolution Carbon Monitoring and Modeling: A CMS Phase 2 study, NACP meeting, New Mexico.
Swatantran A. (2013) High Resolution Carbon Mapping and Modeling in Maryland (Invited) Advanced LiDAR topics and the use of this technology in support of the MRV system in Mexico. USFS/USAID Meeting, Sigma Space MD.
Swatantran A., Dubayah R. (2013) High Resolution Carbon Mapping and Modeling in NASA’s Carbon Monitoring System, Towson University GIS Conference (TUGIS).
Dubayah R. Swatantran A., (2012) Carbon Monitoring System (Invited) Western Maryland Geographic Information Systems User Meeting, Frostburg, MD.