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Document Type : Latin Dissertation
Language of Document : English
Record Number : 149560
Doc. No : ET21352
Main Entry : Soojeong Myeong
Title Proper : Estimation of Urban Tree Carbon Storage Using Multi-spectral and Multi-temporal Imagery
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Quantifying urban forest carbon storage, distribution, and change is important tounderstand the roles of urban vegetation in global climate change. Two differentapproaches were used to quantify carbon storage of urban trees in Syracuse, NY. The firstapproach to estimate urban carbon storage used a regression equation derived from therelationship between existing carbon storage data and the Normalized DifferenceVegetation Index (NDVI) derived from multi-spectral images. The regression equationwas developed to predict carbon storage of urban trees &om NDVI, computed fromLandsat ETM+ image, and fiom the carbon storage field data of 1999 for Syracuse, NY.The total carbon storage estimation based on NDVI data was 0.2 different fiom theestimation by the results.
Subject : Electericl tess
: برق
electronic file name : TL44509.pdf
Title and statement of responsibility and : Estimation of Urban Tree Carbon Storage Using Multi-spectral and Multi-temporal Imagery [Thesis]
 
 
 
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