Sciences and Exploration Directorate

Bruce Douglas Cook



Org Code: 618

Mail Code: 618
Greenbelt, MD 20771

Employer: NASA

Brief Bio

Dr. Cook is a Physical Scientist who studies ecosystem form and function in uplands and wetlands using lidar and multi-sensor/temporal remote sensing. His research interests include forest inventory; forest health monitoring and protection; photosynthesis and plant production; disturbance and plant succession; nutrient cycling; and ecosystem-atmosphere exchange of CO2, CH4, heat and water vapor. He is Project Scientist for Landsat Next (, and Principal Investigator of NASA Goddard’s Lidar, Hyperspectral, and Thermal (G-LiHT) airborne imager (


PhD, Natural Resources - Assessment, Monitoring, and Geospatial Analysis, Univ. of Minnesota, St. Paul, MN, 2008
MS, Soil, Water, and Climate, Univ. of Minnesota, St. Paul, MN, 1990
BS, Biology, Huntington College, IN, 1985



Radeloff, V. C., D. P. Roy, M. A. Wulder, et al. M. Anderson, B. Cook, C. J. Crawford, M. Friedl, F. Gao, N. Gorelick, M. Hansen, S. Healey, P. Hostert, G. Hulley, J. L. Huntington, D. M. Johnson, C. Neigh, A. Lyapustin, L. Lymburner, N. Pahlevan, J.-F. Pekel, T. A. Scambos, C. Schaaf, P. Strobl, C. E. Woodcock, H. K. Zhang, and Z. Zhu. 2024. Need and vision for global medium-resolution Landsat and Sentinel-2 data products Remote Sensing of Environment 300 113918 [10.1016/j.rse.2023.113918]

Yin, T., P. M. Montesano, B. D. Cook, et al. E. Chavanon, C. S. Neigh, D. Shean, D. Peng, N. Lauret, A. Mkaouar, O. Regaieg, Z. Zhen, R. Qin, J.-P. Gastellu-Etchegorry, and D. C. Morton. 2023. Modeling forest canopy surface retrievals using very high-resolution spaceborne stereogrammetry: (II) optimizing acquisition configurations Remote Sensing of Environment 298 113824 [10.1016/j.rse.2023.113824]

Yin, T., P. M. Montesano, B. D. Cook, et al. E. Chavanon, C. S. Neigh, D. Shean, D. Peng, N. Lauret, A. Mkaouar, D. C. Morton, O. Regaieg, Z. Zhen, and J.-P. Gastellu-Etchegorry. 2023. Modeling forest canopy surface retrievals using very high-resolution spaceborne stereogrammetry: (I) methods and comparisons with actual data Remote Sensing of Environment 298 113825 [10.1016/j.rse.2023.113825]

Crawford, C. J., D. P. Roy, S. Arab, et al. C. Barnes, E. Vermote, G. Hulley, A. Gerace, M. Choate, C. Engebretson, E. Micijevic, G. Schmidt, C. Anderson, M. Anderson, M. Bouchard, B. Cook, R. Dittmeier, D. Howard, C. Jenkerson, M. Kim, T. Kleyians, T. Maiersperger, C. Mueller, C. Neigh, L. Owen, B. Page, N. Pahlevan, R. Rengarajan, J.-C. Roger, K. Sayler, P. Scaramuzza, S. Skakun, L. Yan, H. K. Zhang, Z. Zhu, and S. Zahn. 2023. The 50-year Landsat collection 2 archive Science of Remote Sensing 8 100103 [10.1016/j.srs.2023.100103]

Martinuzzi, S., B. D. Cook, E. H. Helmer, et al. M. Keller, D. H. Locke, H. Marcano‐Vega, M. Uriarte, and D. C. Morton. 2022. Patterns and controls on island‐wide aboveground biomass accumulation in second‐growth forests of Puerto Rico Biotropica 54 (5): 1146-1159 [10.1111/btp.13122]

Wulder, M. A., D. P. Roy, V. C. Radeloff, et al. T. R. Loveland, M. C. Anderson, D. M. Johnson, S. Healey, Z. Zhu, T. A. Scambos, N. Pahlevan, M. Hansen, N. Gorelick, C. J. Crawford, J. G. Masek, T. Hermosilla, J. C. White, A. S. Belward, C. Schaaf, C. E. Woodcock, J. L. Huntington, L. Lymburner, P. Hostert, F. Gao, A. Lyapustin, J.-F. Pekel, P. Strobl, and B. D. Cook. 2022. Fifty years of Landsat science and impacts Remote Sensing of Environment 280 113195 [10.1016/j.rse.2022.113195]

Yin, T., B. D. Cook, and D. C. Morton. 2022. Three-dimensional estimation of deciduous forest canopy structure and leaf area using multi-directional, leaf-on and leaf-off airborne lidar data Agricultural and Forest Meteorology 314 108781 [10.1016/j.agrformet.2021.108781]

Regaieg, O., T. Yin, Z. Malenovský, et al. B. D. Cook, D. C. Morton, and J.-P. Gastellu-Etchegorry. 2021. Assessing impacts of canopy 3D structure on chlorophyll fluorescence radiance and radiative budget of deciduous forest stands using DART Remote Sensing of Environment 265 112673 [10.1016/j.rse.2021.112673]

Leitold, V., D. C. Morton, S. Martinuzzi, et al. I. Paynter, M. Uriarte, M. Keller, A. Ferraz, B. D. Cook, L. A. Corp, and G. González. 2021. Tracking the Rates and Mechanisms of Canopy Damage and Recovery Following Hurricane Maria Using Multitemporal Lidar Data Ecosystems 113 (2): E249- [10.1007/s10021-021-00688-8]

Malenovský, Z., O. Regaieg, T. Yin, et al. N. Lauret, J. Guilleux, E. Chavanon, N. Duran, R. Janoutová, A. Delavois, J. Meynier, G. Medjdoub, P. Yang, C. van der Tol, D. Morton, B. D. Cook, and J.-P. Gastellu-Etchegorry. 2021. Discrete anisotropic radiative transfer modelling of solar-induced chlorophyll fluorescence: Structural impacts in geometrically explicit vegetation canopies Remote Sensing of Environment 263 112564 [10.1016/j.rse.2021.112564]

Lagomasino, D., T. Fatoyinbo, E. Castañeda-Moya, et al. B. D. Cook, P. M. Montesano, C. S. Neigh, L. A. Corp, L. E. Ott, S. Chavez, and D. C. Morton. 2021. Storm surge and ponding explain mangrove dieback in southwest Florida following Hurricane Irma Nature Communications 12 (1): 4003 [10.1038/s41467-021-24253-y]

Shoot, C., H.-E. Andersen, L. M. Moskal, et al. C. Babcock, B. D. Cook, and D. C. Morton. 2021. Classifying Forest Type in the National Forest Inventory Context with Airborne Hyperspectral and Lidar Data Remote Sensing 13 (10): 1863 [10.3390/rs13101863]

Alonzo, M., R. J. Dial, B. K. Schulz, et al. H.-E. Andersen, E. Lewis-Clark, B. D. Cook, and D. C. Morton. 2020. Mapping tall shrub biomass in Alaska at landscape scale using structure-from-motion photogrammetry and lidar Remote Sensing of Environment 245 111841 [10.1016/j.rse.2020.111841]

Yin, T., J. Qi, B. D. Cook, et al. D. C. Morton, S. Wei, and J.-P. Gastellu-Etchegorry. 2019. Modeling Small-Footprint Airborne Lidar-Derived Estimates of Gap Probability and Leaf Area Index Remote Sensing 12 (1): 4 [10.3390/rs12010004]

Montesano, P. M., C. S. Neigh, W. Wagner, M. Wooten, and B. D. Cook. 2019. Boreal canopy surfaces from spaceborne stereogrammetry Remote Sensing of Environment 225 148-159 [10.1016/j.rse.2019.02.012]

Paynter, I. L., C. Schaaf, J. Bowen, et al. L. Deegan, F. Peri, and B. D. Cook. 2019. Characterizing a New England Saltmarsh with NASA G-LiHT Airborne Lidar Remote Sensing 11 (5): 509 [10.3390/rs11050509]

Finley, A. O., A. Datta, B. D. Cook, et al. D. C. Morton, H. E. Andersen, and S. Banerjee. 2018. Efficient Algorithms for Bayesian Nearest Neighbor Gaussian Processes Journal of Computational and Graphical Statistics 1-14 [10.1080/10618600.2018.1537924]

Fagan, M., D. Morton, B. Cook, et al. J. Masek, F. Zhao, R. Nelson, and C. Huang. 2018. Mapping pine plantations in the southeastern U.S. using structural, spectral, and temporal remote sensing data Remote Sensing of Environment 216 415-426 [10.1016/j.rse.2018.07.007]

Meng, R., P. E. Dennison, F. Zhao, et al. I. Shendryk, A. Rickert, R. P. Hanavan, B. D. Cook, and S. P. Serbin. 2018. Mapping canopy defoliation by herbivorous insects at the individual tree level using bi-temporal airborne imaging spectroscopy and LiDAR measurements Remote Sensing of Environment 215 170-183 [10.1016/j.rse.2018.06.008]

Babcock, C., A. O. Finley, H.-E. Andersen, et al. R. Pattison, B. D. Cook, D. C. Morton, M. Alonzo, R. Nelson, T. Gregoire, L. Ene, T. Gobakken, and E. Næsset. 2018. Geostatistical estimation of forest biomass in interior Alaska combining Landsat-derived tree cover, sampled airborne lidar and field observations Remote Sensing of Environment 212 212-230 [10.1016/j.rse.2018.04.044]

Meng, R., J. Wu, F. Zhao, et al. B. D. Cook, R. P. Hanavan, and S. P. Serbin. 2018. Measuring short-term post-fire forest recovery across a burn severity gradient in a mixed pine-oak forest using multi-sensor remote sensing techniques Remote Sensing of Environment 210 282-296 [10.1016/j.rse.2018.03.019]

Colombo, R., M. Celesti, R. Bianchi, et al. P. K. Campbell, S. Cogliati, B. D. Cook, L. A. Corp, A. Damm, J.-C. Domec, L. Guanter, T. Julitta, E. M. Middleton, A. Noormets, C. Panigada, F. Pinto, U. Rascher, M. Rossini, and A. Schickling. 2018. Variability of sun-induced chlorophyll fluorescence according to stand age-related processes in a managed loblolly pine forest Global Change Biology [10.1111/gcb.14097]

Alonzo, M., H.-E. Andersen, D. Morton, and B. Cook. 2018. Quantifying Boreal Forest Structure and Composition Using UAV Structure from Motion Forests 9 (3): 119 [10.3390/f9030119]

Ene, L. T., T. Gobakken, H.-E. Andersen, et al. E. Næsset, B. D. Cook, D. C. Morton, C. Babcock, and R. Nelson. 2018. Large-area hybrid estimation of aboveground biomass in interior Alaska using airborne laser scanning data Remote Sensing of Environment 204 741-755 [10.1016/j.rse.2017.09.027]

Sullivan, F. B., M. J. Ducey, D. A. Orwig, B. Cook, and M. W. Palace. 2017. Comparison of lidar- and allometry-derived canopy height models in an eastern deciduous forest Forest Ecology and Management 406 83-94 [10.1016/j.foreco.2017.10.005]

McCorkel, J., C. M. Bachmann, C. Coburn, et al. A. Gerace, L. Leigh, J. Czapla-Myers, D. Helder, and B. Cook. 2017. Overview of the 2015 Algodones Sand Dunes field campaign to support sensor intercalibration Journal of Applied Remote Sensing 12 (01): 1 [10.1117/1.jrs.12.012003]

Pontius, J., R. P. Hanavan, R. A. Hallett, B. D. Cook, and L. A. Corp. 2017. High spatial resolution spectral unmixing for mapping ash species across a complex urban environment Remote Sensing of Environment 199 360-369 [10.1016/j.rse.2017.07.027]

Middleton, E. M., U. Rascher, L. Corp, et al. K. Huemmrich, B. Cook, A. Noormets, A. Schickling, F. Pinto, L. Alonso, A. Damm, L. Guanter, R. Colombo, P. Campbell, D. Landis, Q. Zhang, M. Rossini, D. Schuettemeyer, and R. Bianchi. 2017. The 2013 FLEX—US Airborne Campaign at the Parker Tract Loblolly Pine Plantation in North Carolina, USA Remote Sensing 9 (6): 612 [10.3390/rs9060612]

Zhang, Z., W. Ni, G. Sun, et al. W. Huang, K. J. Ranson, B. D. Cook, and Z. Guo. 2017. Biomass retrieval from L-band polarimetric UAVSAR backscatter and PRISM stereo imagery Remote Sensing of Environment 194 331-346 [10.1016/j.rse.2017.03.034]

Alonzo, M., D. C. Morton, B. D. Cook, et al. H.-E. Andersen, C. Babcock, and R. Pattison. 2017. Patterns of canopy and surface layer consumption in a boreal forest fire from repeat airborne lidar Environmental Research Letters 12 (6): 065004 [10.1088/1748-9326/aa6ade]

Gastellu-Etchegorry, J.-P., N. Lauret, T. Yin, et al. L. Landier, A. Kallel, Z. Malenovsky, A. A. Bitar, J. Aval, S. Benhmida, J. Qi, G. Medjdoub, J. Guilleux, E. Chavanon, B. Cook, D. Morton, N. Chrysoulakis, and Z. Mitraka. 2017. DART: Recent Advances in Remote Sensing Data Modeling With Atmosphere, Polarization, and Chlorophyll Fluorescence IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 1-10 [10.1109/jstars.2017.2685528]

Finley, A. O., S. Banerjee, Y. Zhou, B. D. Cook, and C. Babcock. 2017. Joint hierarchical models for sparsely sampled high-dimensional LiDAR and forest variables Remote Sensing of Environment 190 149-161 [10.1016/j.rse.2016.12.004]

Meng, R., J. Wu, K. L. Schwager, et al. F. Zhao, P. E. Dennison, B. D. Cook, K. Brewster, T. M. Green, and S. P. Serbin. 2017. Using high spatial resolution satellite imagery to map forest burn severity across spatial scales in a Pine Barrens ecosystem Remote Sensing of Environment 191 95-109 [10.1016/j.rse.2017.01.016]

Nelson, R., H. Margolis, P. Montesano, et al. G. Sun, B. Cook, L. Corp, H.-E. Andersen, B. deJong, F. P. Pellat, T. Fickel, J. Kauffman, and S. Prisley. 2017. Lidar-based estimates of aboveground biomass in the continental US and Mexico using ground, airborne, and satellite observations Remote Sensing of Environment 188 127-140 [10.1016/j.rse.2016.10.038]

Zhang, Q., E. M. Middleton, Y.-B. Cheng, et al. K. F. Huemmrich, B. D. Cook, L. A. Corp, W. P. Kustas, A. L. Russ, J. H. Prueger, and T. Yao. 2016. Integrating chlorophyll fAPAR and nadir photochemical reflectance index from EO-1/Hyperion to predict cornfield daily gross primary production Remote Sensing of Environment 186 311-321 [10.1016/j.rse.2016.08.026]

Golden, C., T. Murtha, B. Cook, et al. D. S. Shaffer, W. Schroder, E. J. Hermitt, O. Alcover Firpi, and A. K. Scherer. 2016. Reanalyzing environmental lidar data for archaeology: Mesoamerican applications and implications Journal of Archaeological Science: Reports 9 293-308 [10.1016/j.jasrep.2016.07.029]

Gastellu-Etchegorry, J.-P., T. Yin, N. Lauret, et al. E. Grau, J. Rubio, B. D. Cook, D. C. Morton, and G. Sun. 2016. Simulation of satellite, airborne and terrestrial LiDAR with DART (I): Waveform simulation with quasi-Monte Carlo ray tracing Remote Sensing of Environment 184 418-435 [10.1016/j.rse.2016.07.010]

Babcock, C., A. O. Finley, B. D. Cook, A. Weiskittel, and C. W. Woodall. 2016. Modeling forest biomass and growth: Coupling long-term inventory and LiDAR data Remote Sensing of Environment 182 1-12 [10.1016/j.rse.2016.04.014]

Morton, D. C., J. Rubio, B. D. Cook, et al. J.-P. Gastellu-Etchegorry, M. Longo, H. Choi, M. Hunter, and M. Keller. 2016. Amazon forest structure generates diurnal and seasonal variability in light utilization Biogeosciences 13 (7): 2195-2206 [10.5194/bg-13-2195-2016]

Finley, A. O., S. Banerjee, Y. Zhou, and B. D. Cook. 2016. Process-based hierarchical models for coupling high-dimensional LiDAR and forest variables over large geographic domains Journal of the American Statistical Association, arXiv:1603.07409 [stat.AP]

Morton, D. C., J. Nagol, C. C. Carabajal, et al. J. Rosette, M. Palace, B. D. Cook, E. F. Vermote, D. J. Harding, and P. R. North. 2016. Dry-season greening of Amazon forests Reply Nature 531 (7594): E6-E6 [10.1038/nature16458]

Neigh, C. S., J. G. Masek, P. Bourget, et al. K. Rishmawi, F. Zhao, C. Huang, B. D. Cook, and R. F. Nelson. 2016. Regional rates of young US forest growth estimated from annual Landsat disturbance history and IKONOS stereo imagery Remote Sensing of Environment 173 282–293 [10.1016/j.rse.2015.09.007]

Desai, A. R., K. Xu, H. Tian, et al. P. Weishampel, J. Thom, D. Baumann, A. E. Andrews, B. D. Cook, J. Y. King, and R. Kolka. 2015. Corrigendum to “Landscape-level terrestrial methane flux observed from a very tall tower” Agricultural and Forest Meteorology, Volume 201(2015), 61-75 Agricultural and Forest Meteorology 211-212 1 [10.1016/j.agrformet.2015.05.007]

Basu, S., S. Ganguly, R. R. Nemani, et al. S. Mukhopadhyay, Gong Zhang, C. Milesi, A. Michaelis, P. Votava, R. Dubayah, L. Duncanson, B. Cook, Yifan Yu, S. Saatchi, R. DiBiano, M. Karki, E. Boyda, U. Kumar, and Shuang Li. 2015. A Semiautomated Probabilistic Framework for Tree-Cover Delineation From 1-m NAIP Imagery Using a High-Performance Computing Architecture IEEE Transactions on Geoscience and Remote Sensing 53 (10): 5690-5708 [10.1109/tgrs.2015.2428197]

Duncanson, L. I., R. Dubayah, B. D. Cook, J. Rosette, and G. Parker. 2015. The importance of spatial detail: Assessing the utility of individual crown information and scaling approaches for lidar-based biomass density estimation Remote Sensing of Environment 168 102-112 [10.1016/j.rse.2015.06.021]

Hernández-Stefanoni, J. L., K. D. Johnson, B. D. Cook, et al. J. M. Dupuy, R. Birdsey, A. Peduzzi, and F. Tun-Dzul. 2015. Estimating species richness and biomass of tropical dry forests using LIDAR during leaf-on and leaf-off canopy conditions Appl Veg Sci 18 (4): 724-732 [10.1111/avsc.12190]

Rosette, J., B. Cook, R. Nelson, et al. Chengquan Huang, J. Masek, C. Tucker, Guoqing Sun, Wenli Huang, P. Montesano, J. Rubio-Gil, and J. Ranson. 2015. Sensor Compatibility for Biomass Change Estimation Using Remote Sensing Data Sets: Part of NASA's Carbon Monitoring System Initiative IEEE Geosci. Remote Sensing Lett. 12 (7): 1511-1515 [10.1109/lgrs.2015.2411262]

Hunter, M. O., M. M. Keller, D. C. Morton, et al. B. D. Cook, M. Lefsky, M. Ducey, S. Saleska, R. C. de Oliveira, and J. Schietti. 2015. Structural Dynamics of Tropical Moist Forest Gaps PLoS ONE 10 (7): e0132144 [10.1371/journal.pone.0132144]

Gastellu-Etchegorry, J.-P., T. Yin, N. Lauret, et al. T. Cajgfinger, T. Gregoire, E. Grau, J.-B. Feret, M. Lopes, J. Guilleux, G. Dedieu, Z. Malenovský, B. D. Cook, D. C. Morton, J. Rubio, S. Durrieu, G. Cazanave, E. Martin, and T. Ristorcelli. 2015. Discrete Anisotropic Radiative Transfer (DART 5) for Modeling Airborne and Satellite Spectroradiometer and LIDAR Acquisitions of Natural and Urban Landscapes Remote Sensing 7 (2): 1667-1701 [10.3390/rs70201667]

Leitold, V., M. Keller, D. C. Morton, B. D. Cook, and Y. E. Shimabukuro. 2015. Airborne lidar-based estimates of tropical forest structure in complex terrain: opportunities and trade-offs for REDD+ Carbon Balance and Management 10 (1): [10.1186/s13021-015-0013-x]

Desai, A. R., K. Xu, H. Tian, et al. P. Weishampel, J. Thom, D. Baumann, A. E. Andrews, B. D. Cook, J. Y. King, and R. Kolka. 2015. Landscape-level terrestrial methane flux observed from a very tall tower Agricultural and Forest Meteorology 201 61-75 [10.1016/j.agrformet.2014.10.017]

Duncanson, L. I., B. D. Cook, G. C. Hurtt, and R. O. Dubayah. 2014. An efficient, multi-layered crown delineation algorithm for mapping individual tree structure across multiple ecosystems Remote Sensing of Environment 154 378–386 [10.1016/j.rse.2013.07.044]

Montesano, P. M., R. F. Nelson, R. Dubayah, et al. G. Sun, B. D. Cook, K. J. Ranson, E. Naesset, and V. Kharuk. 2014. The uncertainty of biomass estimates from LiDAR and SAR across a boreal forest structure gradient Remote Sensing of Environment 154 398-407 [10.1016/j.rse.2014.01.027]

Finley, A. O., S. Banerjee, and B. D. Cook. 2014. Bayesian hierarchical models for spatially misaligned data in R Methods in Ecology and Evolution 5 (6): 514–523 [10.1111/2041-210X.12189]

Neigh, C., J. Masek, P. Bourget, et al. B. Cook, C. Huang, K. Rishmawi, and Y. Zhao. 2014. Deciphering the Precision of Stereo IKONOS Canopy Height Models for US Forests with G-LiHT Airborne LiDAR Remote Sensing 6 (3): 1762-1782 [10.3390/rs6031762]

White, J. C., M. A. Wulder, A. Varhola, et al. M. Vastaranta, N. C. Coops, B. D. Cook, D. Pitt, and M. Woods. 2013. A best practices guide for generating forest inventory attributes from airborne laser scanning data using an area-based approach The Forestry Chronicle 89 (06): 722-723 [10.5558/tfc2013-132]

Cook, B. D., L. A. Corp, R. F. Nelson, et al. E. M. Middleton, D. C. Morton, J. T. Mccorkel, J. Masek, and P. M. Montesano. 2013. NASA Goddard’s LiDAR, Hyperspectral and Thermal (G-LiHT) Airborne Imager Remote Sensing 5 (8): 4045-4066 [10.3390/rs5084045]

Finley, A. O., S. Banerjee, B. D. Cook, and J. B. Bradford. 2013. Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets International Journal of Applied Earth Observation and Geoinformation 22 147-160 [10.1016/j.jag.2012.04.007]

Babcock, C., J. Matney, A. O. Finley, A. Weiskittel, and B. D. Cook. 2013. Multivariate Spatial Regression Models for Predicting Individual Tree Structure Variables Using LiDAR Data IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing 6 (1): 6-14 [10.1109/jstars.2012.2215582]

Cheng, Y., E. Middleton, Q. Zhang, et al. K. Huemmrich, P. Campbell, L. Corp, B. Cook, W. Kustas, and C. Daughtry. 2013. Integrating Solar Induced Fluorescence and the Photochemical Reflectance Index for Estimating Gross Primary Production in a Cornfield Remote Sensing 5 (12): 6857-6879 [10.3390/rs5126857]

Montesano, P. M., B. D. Cook, G. Sun, et al. M. Simard, R. F. Nelson, K. J. Ranson, Z. Shang, and S. B. Luthcke. 2013. Achieving accuracy requirements for forest biomass mapping: A spaceborne data fusion method for estimating forest biomass and LiDAR sampling error Remote Sensing of Environment 130 153-170

Cook, B. D., P. V. Bolstad, E. Næsset, et al. R. S. Anderson, S. Garrigues, J. T. Morisette, J. Nickeson, and K. J. Davis. 2009. Using LiDAR and quickbird data to model plant production and quantify uncertainties associated with wetland detection and land cover generalizations Remote Sensing of Environment 113 (11): 2366-2379 [10.1016/j.rse.2009.06.017]

Sulman, B. N., A. R. Desai, B. D. Cook, N. Saliendra, and D. S. Mackay. 2009. Contrasting carbon dioxide fluxes between a drying shrub wetland in Northern Wisconsin, USA, and nearby forests Biogeosciences 6 (6): 1115-1126 [10.5194/bg-6-1115-2009]

Ollinger, S. V., A. D. Richardson, M. E. Martin, et al. D. Y. Hollinger, S. E. Frolking, P. B. Reich, L. C. Plourde, G. G. Katul, J. W. Munger, R. Oren, M.-L. Smith, K. T. Paw U, P. V. Bolstad, B. D. Cook, M. C. Day, T. A. Martin, R. K. Monson, and H. P. Schmid. 2008. Canopy nitrogen, carbon assimilation, and albedo in temperate and boreal forests: Functional relations and potential climate feedbacks Proceedings of the National Academy of Sciences 105 (49): 19336-19341 [10.1073/pnas.0810021105]

Tang, J., P. V. Bolstad, A. R. Desai, et al. J. G. Martin, B. D. Cook, K. J. Davis, and E. V. Carey. 2008. Ecosystem respiration and its components in an old-growth forest in the Great Lakes region of the United States Agricultural and Forest Meteorology 148 (2): 171-185 [10.1016/j.agrformet.2007.08.008]

Ricciuto, D. M., M. P. Butler, K. J. Davis, et al. B. D. Cook, P. S. Bakwin, A. Andrews, and R. M. Teclaw. 2008. Causes of interannual variability in ecosystem–atmosphere CO2 exchange in a northern Wisconsin forest using a Bayesian model calibration Agricultural and Forest Meteorology 148 (2): 309-327 [10.1016/j.agrformet.2007.08.007]

Desai, A. R., A. Noormets, P. V. Bolstad, et al. J. Chen, B. D. Cook, K. J. Davis, E. S. Euskirchen, C. Gough, J. G. Martin, D. M. Ricciuto, H. P. Schmid, J. Tang, and W. Wang. 2008. Influence of vegetation and seasonal forcing on carbon dioxide fluxes across the Upper Midwest, USA: Implications for regional scaling Agricultural and Forest Meteorology 148 (2): 288-308 [10.1016/j.agrformet.2007.08.001]

Cook, B. D., P. V. Bolstad, J. G. Martin, et al. F. A. Heinsch, K. J. Davis, W. Wang, A. R. Desai, and R. M. Teclaw. 2007. Using Light-Use and Production Efficiency Models to Predict Photosynthesis and Net Carbon Exchange During Forest Canopy Disturbance Ecosystems 11 (1): 26-44 [10.1007/s10021-007-9105-0]

Wang, W., K. J. Davis, B. D. Cook, et al. C. Yi, M. P. Butler, D. M. Ricciuto, and P. S. Bakwin. 2007. Estimating daytime CO 2 fluxes over a mixed forest from tall tower mixing ratio measurements Journal of Geophysical Research 112 (D10): D10308 [10.1029/2006jd007770]

Mackay, D. S., B. E. Ewers, B. D. Cook, and K. J. Davis. 2007. Environmental drivers of evapotranspiration in a shrub wetland and an upland forest in northern Wisconsin Water Resour. Res. 43 (3): [10.1029/2006wr005149]

Wang, W., K. J. Davis, B. D. Cook, M. P. Butler, and D. M. Ricciuto. 2006. Decomposing CO 2 fluxes measured over a mixed ecosystem at a tall tower and extending to a region: A case study J. Geophys. Res. 111 (G2): [10.1029/2005jg000093]

Wang, W., K. J. Davis, B. D. Cook, et al. P. S. Bakwin, C. Yi, M. P. Butler, and D. M. Ricciuto. 2005. Surface layer CO2 budget and advective contributions to measurements of net ecosystem–atmosphere exchange of CO2 Agricultural and Forest Meteorology 135 (1-4): 202-214 [10.1016/j.agrformet.2005.11.018]

Desai, A. R., P. V. Bolstad, B. D. Cook, K. J. Davis, and E. V. Carey. 2005. Comparing net ecosystem exchange of carbon dioxide between an old-growth and mature forest in the upper Midwest, USA Agricultural and Forest Meteorology 128 (1-2): 33-55 [10.1016/j.agrformet.2004.09.005]

Cook, B. D., K. J. Davis, W. Wang, et al. A. Desai, B. W. Berger, R. M. Teclaw, J. G. Martin, P. V. Bolstad, P. S. Bakwin, C. Yi, and W. Heilman. 2004. Carbon exchange and venting anomalies in an upland deciduous forest in northern Wisconsin, USA Agricultural and Forest Meteorology 126 (3-4): 271-295 [10.1016/j.agrformet.2004.06.008]

Bolstad, P. V., K. J. Davis, J. Martin, B. D. Cook, and W. Wang. 2004. Component and whole-system respiration fluxes in northern deciduous forests Tree Physiology 24 (5): 493-504 [10.1093/treephys/24.5.493]

Cook, B. D., P. R. Bloom, and T. R. Halbach. 1997. Fate of a Polyacrylate Polymer during Composting of Simulated Municipal Solid Waste Journal of Environment Quality 26 (3): 618 [10.2134/jeq1997.00472425002600030005x]

Cook, B. D., P. R. Bloom, and T. R. Halbach. 1994. A Method for Determining the Ultimate Fate of Synthetic Chemicals during Composting Compost Science & Utilization 2 (1): 42-50 [10.1080/1065657x.1994.10757917]

Allan, D. L., B. D. Cook, and C. J. Rosen. 1994. Nitrogen form and solution pH effect on organic acid content of cranberry roots and shoots HortScience 29 313-315

Cook, B. D., and D. L. Allan. 1992. Dissolved organic carbon in old field soils: Total amounts as a measure of available resources for soil mineralization Soil Biology and Biochemistry 24 (6): 585-594 [10.1016/0038-0717(92)90084-b]

Cook, B. D., and D. L. Allan. 1992. Dissolved organic carbon in old field soils: compositional changes during the biodegradation of soil organic matter Soil Biology and Biochemistry 24 595-600

Cook, B. D., J. D. Jastrow, and R. M. Miller. 1988. Root and mycorrhizal endophyte development in a chronosequence of restored tallgrass prairie New Phytol 110 (3): 355-362 [10.1111/j.1469-8137.1988.tb00272.x]


Cook, B., L. Corp, P. Clemens, et al. I. Paynter, J. Nagol, and J. McCorkel. 2018. Characterization of Firefly, an Imaging Spectrometer Designed for Airborne Measurements of Solar-Induced Fluorescence IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium [10.1109/igarss.2018.8518303]

Angal, A., J. McCorkel, B. Cook, L. A. Corp, and K. Thome. 2015. Radiometric calibration of G-LiHT's imaging spectrometer using GLAMR for satellite sensor intercalibration Earth Observing Systems XX [10.1117/12.2188763]

Corp, L. A., B. D. Cook, J. McCorkel, and E. M. Middleton. 2015. Data products of NASA Goddard’s LiDAR, hyperspectral, and thermal airborne imager (G-LiHT) SPIE. 9482, Next-Generation Spectroscopic Technologies VIII 94821D [10.1117/12.2177083]