Bruce D. Cook
Orcid: 0000-0002-8528-000X
According to our database1,
Bruce D. Cook
authored at least 27 papers
between 2006 and 2022.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2022
Quantifying mangrove canopy regrowth and recovery after Hurricane Irma with large-scale repeat airborne lidar in the Florida Everglades.
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
Classifying Forest Type in the National Forest Inventory Context with Airborne Hyperspectral and Lidar Data.
Remote. Sens., 2021
Synthesizing Disparate LiDAR and Satellite Datasets through Deep Learning to Generate Wall-to-Wall Regional Inventories for the Complex, Mixed-Species Forests of the Eastern United States.
Remote. Sens., 2021
2020
Characterization of FIREFLY, an Imaging Spectrometer Designed for Remote Sensing of Solar Induced Fluorescence.
Sensors, 2020
Modeling Small-Footprint Airborne Lidar-Derived Estimates of Gap Probability and Leaf Area Index.
Remote. Sens., 2020
Detecting Change in Forest Structure with Simulated GEDI Lidar Waveforms: A Case Study of the Hemlock Woolly Adelgid (HWA; Adelges tsugae) Infestation.
Remote. Sens., 2020
Simulation of Solar-Induced Chlorophyll Fluorescence from 3D Canopies with the Dart Model.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Recent Improvements in the Dart Model for Atmosphere, Topography, Large Landscape, Chlorophyll Fluorescence, Satellite Image Inversion.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Why To Model Remote Sensing Measurements In 3d? Recent Advances In Dart: Atmosphere, Topography, Large Landscape, Chlorophyll Fluorescence And Satellite Image Inversion.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020
2019
Remote. Sens., 2019
2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Simulation of Chlorophyll Fluorescence for Sun- and Shade-Adapted Leaves of 3D Canopies with the Dart Model.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Characterization of Firefly, an Imaging Spectrometer Designed for Airborne Measurements of Solar-Induced Fluorescence.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
DART: Recent Advances in Remote Sensing Data Modeling With Atmosphere, Polarization, and Chlorophyll Fluorescence.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017
The 2013 FLEX - US Airborne Campaign at the Parker Tract Loblolly Pine Plantation in North Carolina, USA.
Remote. Sens., 2017
2015
A Semiautomated Probabilistic Framework for Tree-Cover Delineation From 1-m NAIP Imagery Using a High-Performance Computing Architecture.
IEEE Trans. Geosci. Remote. Sens., 2015
Discrete Anisotropic Radiative Transfer (DART 5) for Modeling Airborne and Satellite Spectroradiometer and LIDAR Acquisitions of Natural and Urban Landscapes.
Remote. Sens., 2015
Sensor Compatibility for Biomass Change Estimation Using Remote Sensing Data Sets: Part of NASA's Carbon Monitoring System Initiative.
IEEE Geosci. Remote. Sens. Lett., 2015
Radiometric calibration of G-LiHT's imaging spectrometer using GLAMR for satellite sensor intercalibration.
Proceedings of the Earth Observing Systems XX, 2015
2014
Deciphering the Precision of Stereo IKONOS Canopy Height Models for US Forests with G-LiHT Airborne LiDAR.
Remote. Sens., 2014
2013
Evaluating Prospects for Improved Forest Parameter Retrieval From Satellite LiDAR Using a Physically-Based Radiative Transfer Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013
Multivariate Spatial Regression Models for Predicting Individual Tree Structure Variables Using LiDAR Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013
Remote. Sens., 2013
Integrating Solar Induced Fluorescence and the Photochemical Reflectance Index for Estimating Gross Primary Production in a Cornfield.
Remote. Sens., 2013
Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets.
Int. J. Appl. Earth Obs. Geoinformation, 2013
2010
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010
2006
Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations.
IEEE Trans. Geosci. Remote. Sens., 2006