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Integrating Imaging Spectrometer and Synthetic Aperture Radar Data for Estimating Wetland Vegetation Aboveground Biomass in Coastal Louisiana.

, , , , , , and . Remote Sensing, 11 (21): 2533 (2019)

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Watershed scale analyses of land cover change in the contributing upland area of mangrove ecosystems., , , and . IGARSS, page 4703-4706. IEEE, (2014)Snow Water Equivalent retrieval using P-band signals of Opportunity., , , , , and . IGARSS, page 7064-7066. IEEE, (2016)An Error Model for Biomass Estimates Derived From Polarimetric Radar Backscatter., , , , , and . IEEE Trans. Geosci. Remote. Sens., 52 (7): 4065-4082 (2014)Retrieval of Forest Vertical Structure from PolInSAR Data by Machine Learning Using LIDAR-Derived Features., , , and . Remote Sensing, 11 (4): 381 (2019)Multi-resolution analysis of polarimetric SAR data using wavelets., , , , , and . IGARSS, page 623-625. IEEE, (2002)Object-Oriented Monitoring of Forest Disturbances with ALOS/PALSAR Time-Series., , and . IGARSS, page 1629-1632. IEEE, (2019)Mapping Water Surface Elevation and Slope in the Mississippi River Delta Using the AirSWOT Ka-Band Interferometric Synthetic Aperture Radar., , , , , and . Remote. Sens., 11 (23): 2739 (2019)Characterizing Near-Nadir and Low Incidence Ka-Band SAR Backscatter From Wet Surfaces and Diverse Land Covers., , , , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2024)A Lidar-Radar Framework to Assess the Impact of Vertical Forest Structure on Interferometric Coherence., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 9 (12): 5830-5841 (2016)Integrating macro and micro scale approaches in the agent-based modeling of residential dynamics., , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2018)