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Title: Urban forest carbon stock Estimation using lidar data and Their impact on pollution Mitigation
Researcher: Muneeswaran M
Guide(s): Ramalingam M
Keywords: Deforestation and CO2 accumulation
Remote Sensing offers
Upload Date: 20-Apr-2015
University: Anna University
Completed Date: 01/05/2014
Abstract: Today more than 70 percent of the population in developed countries newlineand 50 percent of the population worldwide live in urban areas The world newlineurban population is expected to increase by 72 per cent by 2050 due to the newlinerapid urbanization in the developing countries Urbanization leads many newlineenvironmental problems both inside and outside of the urban areas newlineDeforestation and CO2 accumulation are the major threats by the newlineUrbanization In this context the attention of researchers and planners is newlinefocused to understand the carbon sequestration benefits and the carbon stock newlinecapacity of the urban forests Even though estimating the carbon stock is newlinemore important, the conventional methods of carbon stock estimation are are newlinefound to be inadequate and time consuming The traditional field based newlineestimation also needs huge budgets and large manpower to conduct the newlinesurvey newlineRemote Sensing offers an alternative solution to collect the data newlineQuickly In comparison with the traditional methods it is relatively cheaper newlineand less field work oriented to make accurate estimation NIR band ability newlinein multispectral sensors provide inputs for crucial for vegetation analysis newlineEarlier studies have proved its usefulness in the carbon stock estimation and newlinetemporal analysis newline newline
Pagination: xx, 188p.
Appears in Departments:Faculty of Science and Humanities

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01_title.pdfAttached File50.06 kBAdobe PDFView/Open
02_certificate.pdf1.42 MBAdobe PDFView/Open
03_abstract.pdf8.46 kBAdobe PDFView/Open
04_acknowledgement.pdf5.54 kBAdobe PDFView/Open
05_content.pdf24.62 kBAdobe PDFView/Open
06_chapter1.pdf28.24 kBAdobe PDFView/Open
07_chapter2.pdf34.99 kBAdobe PDFView/Open
08_chapter3.pdf224.08 kBAdobe PDFView/Open
09_chapter4.pdf856.63 kBAdobe PDFView/Open
10_chapter5.pdf4.23 MBAdobe PDFView/Open
11_chapter6.pdf106.77 kBAdobe PDFView/Open
12_chapter7.pdf15.51 kBAdobe PDFView/Open
13_reference.pdf62.55 kBAdobe PDFView/Open
14_publication.pdf5.35 kBAdobe PDFView/Open

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