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" Estimation of Live Fuel Moisture and Soil Moisture Using Satellite Remote Sensing A dissertation submitted in partial fulfillment of the requirements for the degree of PhD of Computational Sciences and Informatics at George Mason University "


Document Type : Latin Dissertation
Language of Document : English
Record Number : 149917
Doc. No : ET21709
Main Entry : Xianjun Hao
Title Proper : Estimation of Live Fuel Moisture and Soil Moisture Using Satellite Remote Sensing A dissertation submitted in partial fulfillment of the requirements for the degree of PhD of Computational Sciences and Informatics at George Mason University
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Vegetation and soil are primary terrestrial components of the Earth's surface.Estimation of moisture content in vegetation and soil using remote sensing measurementsis very important for fuel management, fire danger assessment, fire behavior analysis,drought monitoring, and climate and weather analyses. Research has been conducted forseveral years to retrieve live fuel moisture and soil moisture values using eithermicrowave or optical1IR remote sensing measurements. Most existing approaches rely onthe identification of empirical relations between fuellsoil moisture and spectral indices.For live fuel moisture retrieval, I investigated the inverse problems of the leaf modelPROSPECT, and identified the requirements for leaf parameter inversion using MODISmeasurements. I proposed a semi-physical approach for live fuel moisture content..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL44891.pdf
Title and statement of responsibility and : Estimation of Live Fuel Moisture and Soil Moisture Using Satellite Remote Sensing A dissertation submitted in partial fulfillment of the requirements for the degree of PhD of Computational Sciences and Informatics at George Mason University [Thesis]
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TL44891.pdf
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