{"product_id":"9780471281665","title":"Quantitative Remote Sensing of Land Surfaces","description":"\u003ch3\u003eWiley Series in Remote Sensing and Image Processing\u003c\/h3\u003e\u003ch1\u003eQuantitative Remote Sensing of Land Surfaces\u003c\/h1\u003e\u003ch3\u003eShunlin Liang | Jin Au Kong\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eTechnology \u0026amp; Engineering \/ Remote Sensing \u0026amp; Geographic Information Systems\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003eProcessing the vast amounts of data on the Earth's land surface environment generated by NASA's and other international satellite programs is a significant challenge. Filling a gap between the theoretical, physically-based modelling and specific applications, this in-depth study presents practical quantitative algorithms for estimating various land surface variables from remotely sensed observations.\u003cbr\u003e A concise review of the basic principles of optical remote sensing as well as practical algorithms for estimating land surface variables quantitatively from remotely sensed observations.\u003cbr\u003e Emphasizes both the basic principles of optical remote sensing and practical algorithms for estimating land surface variables quantitatively from remotely sensed observations\u003cbr\u003e Presents the current physical understanding of remote sensing as a system with a focus on radiative transfer modelling of the atmosphere, canopy, soil and snow\u003cbr\u003e Gathers the state of the art quantitative algorithms for sensor calibration, atmospheric and topographic correction, estimation of a variety of biophysical and geoph ysical variables, and four-dimensional data assimilation\u003c\/div\u003e\u003cdiv\u003e \u003cp\u003e\u003cb\u003eSHUNLIN LIANG, PhD,\u003c\/b\u003e is an associate professor in the Department of Geography at the University of Maryland, where he teaches courses in remote sensing, quantitative spatial analysis, and computer cartography. He is the Associate Editor for \u003ci\u003eIEEE Transactions on Geoscience and Remote Sensing\u003c\/i\u003e and the coeditor of \u003ci\u003eGeographic Information Science\u003c\/i\u003e.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e12 December 2003\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley-Interscience\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9780471281665\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e560\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e32.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44384379371660,"sku":"9780471281665","price":249.26,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780471281665_3d0e29fc-553e-4f2b-9b32-90c15627d28f.jpg?v=1780168280","url":"https:\/\/lateknightbooks.com\/products\/9780471281665","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}