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Document Type : Latin Dissertation
Language of Document : English
Record Number : 151028
Doc. No : ET22820
Main Entry : Doru I. Pacurari
Title Proper : Evaluation of the Use of Remotely Sensed Images to Speciate Mixed Appalachian Forests
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Advancements in technology have led to development of various new sensors andplatforms. Among them, the airborne digital camera has potential for use in detailedforest vegetation management. Digital cameras offer a number of advantages overconventional aerial photographs because they are generally lower in cost than 70-mm andother large format photographic cameras. Furthermore, there is no need for filmdevelopment and subsequent scanning.The aim of the study was to determine the ability to speciate mixed Appalachianhardwood forests using the Airborne Data Acquisition and Registration (ADAR) System1000, and to determine the optimal spatial resolution and the optimal scale of theacquired images. Digital images of a 200-ha area in west central West Virginia wereacquired for the study. The first objective of the study was to determine the optimalspatial resolution of Central Appalachian hardwoods images through analysis of spatialautocorrelation and semivariance. The images used for this part of the study are of a veryhigh spatial resolution, with a 0.18-m pixel size. Spatial autocorrelation was measuredusing spatial profiles of the imagery. Semivariance was calculated using matrix files(images). As a control method, measurements were made in 182 field plots, each 400square meters. The optimum value of spatial resolution based on autocorrelationmeasurements was 6.4 meters. The average value of the range of the semivariograms was6.7 meters in the Rook case and 7 meters in the Bishop case. The relationship betweendiameter at breast height and tree crown..,....-...,..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 : TL46046.pdf
Title and statement of responsibility and : Evaluation of the Use of Remotely Sensed Images to Speciate Mixed Appalachian Forests [Thesis]
 
 
 
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