Name
Affiliation
Papers
BRUCE D. COOK
NASA, Goddard Space Flight Ctr, Biospher Sci Branch, Greenbelt, MD 20771 USA
17
Collaborators
Citations 
PageRank 
145
93
14.69
Referers 
Referees 
References 
500
320
74
Search Limit
100500
Title
Citations
PageRank
Year
Detecting Change in Forest Structure with Simulated GEDI Lidar Waveforms: A Case Study of the Hemlock Woolly Adelgid (HWA; Adelges tsugae) Infestation.00.342020
Why To Model Remote Sensing Measurements In 3d? Recent Advances In Dart: Atmosphere, Topography, Large Landscape, Chlorophyll Fluorescence And Satellite Image Inversion00.342020
Modeling Small-Footprint Airborne Lidar-Derived Estimates of Gap Probability and Leaf Area Index.00.342020
Characterizing a New England Saltmarsh with NASA G-LiHT Airborne Lidar.00.342019
The 2013 FLEX - US Airborne Campaign at the Parker Tract Loblolly Pine Plantation in North Carolina, USA.20.392017
DART: Recent Advances in Remote Sensing Data Modeling With Atmosphere, Polarization, and Chlorophyll Fluorescence.101.232017
Sensor Compatibility for Biomass Change Estimation Using Remote Sensing Data Sets: Part of NASA's Carbon Monitoring System Initiative00.342015
A Semiautomated Probabilistic Framework for Tree-Cover Delineation From 1-m NAIP Imagery Using a High-Performance Computing Architecture80.652015
Radiometric calibration of G-LiHT's imaging spectrometer using GLAMR for satellite sensor intercalibration00.342015
Discrete Anisotropic Radiative Transfer (DART 5) for modeling airborne and satellite spectroradiometer and LIDAR acquisitions of natural and urban landscapes50.922015
Deciphering the Precision of Stereo IKONOS Canopy Height Models for US Forests with G-LiHT Airborne LiDAR.00.342014
Integrating Solar Induced Fluorescence and the Photochemical Reflectance Index for Estimating Gross Primary Production in a Cornfield121.172013
NASA Goddard's LiDAR, Hyperspectral and Thermal (G-LiHT) Airborne Imager30.452013
Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets.50.582013
Multivariate Spatial Regression Models for Predicting Individual Tree Structure Variables Using LiDAR Data20.442013
Fusion: A Fully Ultraportable System For Imaging Objects In Nature00.342010
Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations466.162006