Douglas C. Morton
According to our database1,
Douglas C. Morton
authored at least 15 papers
between 2005 and 2024.
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Bibliography
2024
Spaceborne Lidar and Stereogrammetry Data Fusion to Predict Aboveground Biomass in Tropical Forests.
Proceedings of the IGARSS 2024, 2024
2021
Classifying Forest Type in the National Forest Inventory Context with Airborne Hyperspectral and Lidar Data.
Remote. Sens., 2021
CoRR, 2021
2020
Modeling Small-Footprint Airborne Lidar-Derived Estimates of Gap Probability and Leaf Area Index.
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
Long-Term Impacts of Selective Logging on Amazon Forest Dynamics from Multi-Temporal Airborne LiDAR.
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
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
2015
Discrete Anisotropic Radiative Transfer (DART 5) for Modeling Airborne and Satellite Spectroradiometer and LIDAR Acquisitions of Natural and Urban Landscapes.
Remote. Sens., 2015
2013
Remote. Sens., 2013
2005
Assessment of deforestation in near real time over the Brazilian Amazon using multitemporal fraction images derived from Terra MODIS.
IEEE Geosci. Remote. Sens. Lett., 2005