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Bruce D. Cook

Goddard Space Flight Center · US
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Area of research
Environmental Engineering · Ecology
Research interest
Research interests include Environmental science, Remote sensing, Lidar, Eddy covariance, Computer science, and Covariance.
h-index
citations
4,091
works
15
NIH funding
primary concept
email

Recent publications

Need and vision for global medium-resolution Landsat and Sentinel-2 data products
Remote Sensing of Environment 2023cited by 142position: middledoi
Fifty years of Landsat science and impacts
Remote Sensing of Environment 2022cited by 672position: lastdoi
Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
Scientific Data 2021cited by 110position: middledoi
The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
Scientific Data 2020cited by 1,735position: middledoi
Efficient Algorithms for Bayesian Nearest Neighbor Gaussian Processes
Journal of Computational and Graphical Statistics 2018cited by 154position: middledoi
Mapping canopy defoliation by herbivorous insects at the individual tree level using bi-temporal airborne imaging spectroscopy and LiDAR measurements
Remote Sensing of Environment 2018cited by 77position: middledoi
Using high spatial resolution satellite imagery to map forest burn severity across spatial scales in a Pine Barrens ecosystem
Remote Sensing of Environment 2017cited by 128position: middledoi
Morton et al. reply
Nature 2016cited by 3position: middledoi
Discrete Anisotropic Radiative Transfer (DART 5) for Modeling Airborne and Satellite Spectroradiometer and LIDAR Acquisitions of Natural and Urban Landscapes
Remote Sensing 2015cited by 338position: middledoi
Structural Dynamics of Tropical Moist Forest Gaps
PLoS ONE 2015cited by 101position: middledoi
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 2015cited by 3position: middledoi
Amazon forests maintain consistent canopy structure and greenness during the dry season
Nature 2014cited by 477position: middledoi
Landscape-level terrestrial methane flux observed from a very tall tower
Agricultural and Forest Meteorology 2014cited by 111position: middledoi
Evaluating Prospects for Improved Forest Parameter Retrieval From Satellite LiDAR Using a Physically-Based Radiative Transfer Model
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2013cited by 19position: middledoi
Lidar Remote Sensing for Biomass Assessment
InTech eBooks 2012cited by 21position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Douglas C. Morton · University of Maryland, College Park5 papers (2014–2018)J. Rosette · Swansea University4 papers (2012–2016)Crystal Schaaf · Boston University2 papers (2022–2023)A. E. Andrews · University of Colorado Boulder2 papers (2014–2015)Patrick Hostert · Humboldt-Universität zu Berlin2 papers (2022–2023)Ankur R. Desai · University of Wisconsin–Madison2 papers (2014–2015) · 2 papers (2014–2016)C. C. Carabajal · Goddard Space Flight Center2 papers (2014–2016) · 2 papers (2022–2023) · 2 papers (2014–2015) · 2 papers (2022–2023)Dan Baumann · United States Geological Survey2 papers (2014–2015) · 2 papers (2014–2015)Nima Pahlevan · Goddard Space Flight Center2 papers (2022–2023) · 2 papers (2022–2023)Shawn Serbin · Goddard Space Flight Center2 papers (2017–2018)Ke Xu · University of Michigan–Ann Arbor2 papers (2014–2015)David M. Johnson · University of Rochester2 papers (2022–2023)Volker C. Radeloff · University of Wisconsin–Madison2 papers (2022–2023)Ran Meng · Harbin Engineering University2 papers (2017–2018)
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