000			04239nam a22003497a 4500
001			sulb0074081
003			BD-SySUS
005			20200901125047.0
008			200901s2014 flu b 001 0 eng d
010			_a 2013018063
020			_a9781466556928 (hardback)
040			_aDLC _beng _cDLC _erda _dDLC _dBD-SySUS
082	0	0	_a333.70285 _223 _bREM
245	0	0	_aRemote sensing of natural resources / _cEdited by Guangxing Wang, Qihao Weng
264		1	_aBoca Raton : _bCRC Press, _c2014.
300			_axxiii, 532 pages ; _c27 cm.
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
490	0		_aRemote sensing applications series ; _v9
504			_aIncludes bibliographical references and index.
520			_a"Highlighting new technologies, Remote Sensing of Natural Resources explores advanced remote sensing systems and algorithms for image processing, enhancement, feature extraction, data fusion, image classification, image-based modeling, image-based sampling design, map accuracy assessment and quality control. It also discusses their applications for evaluation of natural resources, including sampling design, land use and land cover classification, natural landscape and ecosystem assessment, forestry, agriculture, biomass and carbon-cycle modeling, wetland classification and dynamics monitoring, and soils and minerals mapping. The book combines review articles with case studies that demonstrate recent advances and developments of methods, techniques, and applications of remote sensing, with each chapter on a specific area of natural resources. Through a comprehensive examination of the wide range of applications of remote sensing technologies to natural resources, the book provides insight into advanced remote sensing systems, technologies, and algorithms for researchers, scientists, engineers, and decision makers"-- _cProvided by publisher.
520			_a"Introduction to Remote Sensing of Natural Resources Guangxing Wang and Qihao Weng Aims and Scope This book focuses on remote sensing systems, algorithms, and their applications for evaluation of natural resources, especially in the areas of sampling design, land use and land cover (LULC) characterization and classification, natural landscape and ecosystem assessment, forestry and agriculture mapping, biomass and carbon cycle modeling, wetland classification and dynamics monitoring, and soils and minerals mapping. It combines review articles with case studies that demonstrate recent advances and developments of methods, techniques, and applications of remote sensing, with each chapter on a specific area of natural resources. This book aims at providing undergraduate and graduate students with a focused text or a supplementary text for whom the principles of remote sensing, digital image processing, or remote sensing applications is a course to be taken. It may also be useful for researchers, scientists, engineers, and decision makers in the area of geospatial technology and/or its applications to natural resources as a reference text. Synopsis of the Book This book consists of 7 sections and a total of 26 chapters. The seven sections are remote sensing systems; sampling design and product quality assessment; land use and land cover classification; natural landscape, ecosystems, and forestry; agriculture; biomass and carbon cycle modeling; and wetland, soils, and minerals. In Section I, following an introduction to the basic principle of remote sensing, Weng presented an overall review of various remote sensors including electro-optical sensors, thermal infrared sensors, passive microwave and imaging radar sensors, and LiDAR (light detection and ranging)"-- _cProvided by publisher.
650		0	_aRemote sensing. _936273
650		0	_aNatural resources _xRemote sensing. _936274
650		7	_aNATURE / Environmental Conservation & Protection. _2bisacsh _936275
650		7	_aTECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems. _2bisacsh _936276
700	1		_aWang, Guangxing. _936277
700	1		_aWeng, Qihao. _936278
856	4	2	_3Cover image _uhttp://images.tandf.co.uk/common/jackets/websmall/978146655/9781466556928.jpg
942			_2ddc _cBK
999			_c75410 _d75410