High-Resolution Carbon Monitoring and Modeling



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


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


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


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


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


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 .

Huang, W., Swatantran, A., Johnson, K., Duncanson, L., Tang, H., O'Neil Dunne, J., Hurtt, G., Dubayah, R. 2015. 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.

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.


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.


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.


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


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.


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.


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.


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.