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255-0801
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Physical Models for Processing Hyperspectral Data
Detection and mapping of submerged aquatic vegetation (SAV) in shallow, turbid waters
Feasibility of extracting hydrographic and environmental information from sea surface measurements in optically turbid waters
Extracting Bottom Characteristics from SHOALS Data
Open International Curriculum: Remote Sensing Systems, Robotics and Risk Assessment for Humanitarian Demining and UXO Detection
Analysis of Hyperspectral Ocean Color Data
Efficient Analysis of LIDAR Waveforms
Remote Sensing Of Plant Stress Using Spectral Fluorescensce
Physical Models for Processing Hyperspectral Data
Remote Sensing of Concrete Properties
Monte Carlo investigation of the effect of bottom type on bathymetric lidar waveforms
Open International Curriculum: Remote Sensing Systems, Robotics and Risk Assessment for Huminitarian Demining and UXO Detection
An Explicit Model for Reflection from a Complex Surface
Analysis of Hyperspectral Coastal Ocean Color Data: Application to an Irradiance Model
Analysis of Hyperspectral Coastal Ocean Color Data: Application to an Irradiance Model
Climate Tectonic Dynamics of the Andean Mountain Belt
Remote Sensing of Plant Stress
Remote Sensing for Detection of Environmental Contaminants
Subpixel Target Detectability
Calibratin and Testing of Population Dynamics Models at Multiple Spatial Scales Using Remote Sensing