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Document Type : Latin Dissertation
Language of Document : English
Record Number : 149826
Doc. No : ET21618
Main Entry : Demetrios Gatziolis
Title Proper : ESTIMATING FOREST CANOPY ATTRIBUTES VIA AIRBORNE, HIGH-RESOLUTION, MULTISPECTRAL IMAGERY IN MIDWEST FOREST TYPES
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : investigation of the utility of high spatial resolution (sub-meter), 16-bit,multispectral, airborne digital imagery for forest land cover mapping in theheterogeneous and structurally complex forested landscapes of northern Michigan ispresented. Imagery frame registration and georeferencing issues are presented and anovel approach for bi-directional reflectance distribution function (BRDF) effectscorrection and between-frame brightness normalization is introduced. Maximumlikelihood classzjication offive cover type classes is performed over various geographicaggregates of 34 plots established in the study area that were designed according to theForest Inventory and Analysis protocol. Classzfication accuracy estimates show that.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 : TL44794.pdf
Title and statement of responsibility and : ESTIMATING FOREST CANOPY ATTRIBUTES VIA AIRBORNE, HIGH-RESOLUTION, MULTISPECTRAL IMAGERY IN MIDWEST FOREST TYPES [Thesis]
 
 
 
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