大葉大學圖書館 |

Remote sensing of natural resources[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	333.70285
書名/作者:	Remote sensing of natural resources/ edited by Guangxing Wang, Qihao Weng.
其他作者:	Wang, Guangxing.
出版者:	Boca Raton : : CRC Press,, 2014.
面頁冊數:	1 online resource (xxiii, 532 p.)
標題:	Remote sensing.
標題:	Natural resources - Remote sensing.
ISBN:	9781466556935 (electronic bk.)
書目註:	Includes bibliographical references and index.
摘要、提要註:	"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"--
電子資源:	http://www.crcnetbase.com/isbn/9781466556935

Remote sensing of natural resources[electronic resource] /
Remote sensing of natural resources[electronic resource] /edited by Guangxing Wang, Qihao Weng. - Boca Raton :CRC Press,2014. - 1 online resource (xxiii, 532 p.) - Remote sensing applications series ;9.

Includes bibliographical references and index.

"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"--

ISBN: 9781466556935 (electronic bk.)

LCCN: 2013018063Subjects--Topical Terms:

382939
Remote sensing.

LC Class. No.: G70.4 / .R462 2014

Dewey Class. No.: 333.70285

Remote sensing of natural resources[electronic resource] /
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050 0 0 $a G70.4 $b .R462 2014
082 0 0 $a 333.70285 $2 23
245 0 0 $a Remote sensing of natural resources $h [electronic resource] / $c edited by Guangxing Wang, Qihao Weng.
260 $a Boca Raton : $b CRC Press, $c 2014.
300 $a 1 online resource (xxiii, 532 p.)
490 0 $a Remote sensing applications series ; $v 9
504 $a Includes 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"-- $c Provided 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)"-- $c Provided by publisher.
588 $a Description based on print version record.
650 0 $a Remote sensing. $3 382939
650 0 $a Natural resources $x Remote sensing. $3 657338
700 1 $a Wang, Guangxing. $3 657337
700 1 $a Weng, Qihao. $3 382958
856 4 0 $u http://www.crcnetbase.com/isbn/9781466556935