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Document Type : Latin Dissertation
Language of Document : English
Record Number : 149320
Doc. No : ET21112
Main Entry : Maria Jose Garcia Quijano
Title Proper : Claycap Anomaly Detection using Hyperspectral Remote Sensing and Lidargrammetric Techniques
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Clay capped waste sites are a common method to dispose of the more than 40million tons of hazardous waste produced in the United States every year (EPA, 2003).Due to the potential threat that hazardous waste poses, it is essential to monitor closelythe performance of these facilities.Development of a monitoring system that exploits spectral and topographicchanges over hazardous waste sites is presented. Spectral anomaly detection is basedupon the observed changes in absolute reflectance and spectral derivatives in centipedegrass (Eremochloa ophiuroides) under different irrigation levels. The spectral featuresthat provide the best separability.
Subject : Electericl tess
: برق
electronic file name : TL44260.pdf
Title and statement of responsibility and : Claycap Anomaly Detection using Hyperspectral Remote Sensing and Lidargrammetric Techniques [Thesis]
 
 
 
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