vegetation - Globe Thesis

Keyword [vegetation] Result: 161 - 180 \| Page: 9 of 10
161.	Filtering high resolution hyperspectral imagery and analyzing it for quantification of water quality parameters and aquatic vegetation
162.	A functional assessment of restored and reference wetlands along the Cache River, Illinois
163.	Examination of Airborne Discrete-Return Lidar in Prediction and Identification of Unique Forest Attributes
164.	A signal processing approach for preprocessing and 3D analysis of airborne small-footprint full waveform LiDAR data
165.	New Data Processing Approach for Vegetation Classification using Multiwavelength Airborne Polarimetric Lidar
166.	Vegetation mosaics, patch dynamics and alternate stable states in an arctic intertidal marsh
167.	A direct gradient analysis of montane vegetation in the Toiyabe Range, Nevada
168.	Adaptive multiscale estimation for fusing image data
169.	Multi-scale remote sensing techniques for vegetation stress detection
170.	Automatic classification of vegetation and land degradation with large-scale, color infrared, aerial imagery
171.	Monitoring flooding and vegetation on seasonally inundated floodplains with multifrequency polarimetric synthetic aperture radar
172.	Applications of transport theory in optical remote sensing of land surfaces
173.	Electromagnetic scattering from rough surfaces covered with short branching vegetation
174.	Integrated multimedia approaches to the utilization of Everglades vegetation databases
175.	An object-oriented, spatially-explicit simulation model of vegetation dynamics in a south Texas savanna
176.	A formalism for characterizing vegetation responses using classification trees and Dempster-Shafer theory of evidence
177.	A predictive methodology for the detection of vegetation stress using atmospherically corrected multispectral scanner imagery
178.	DETERMINATION OF THE SOURCES OF SCATTERING FROM VEGETATION CANOPIES AT 10 GHZ (RADAR)
179.	Evaluating Landsat 8 Satellite Sensor Data for Improved Vegetation Mapping Accuracy of the New Hampshire Coastal Watershed Area
180.	Application of Machine Learning and Statistical Learning Methods for Prediction In A Large-Scale Vegetation Ma
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