Table Of Content

Environmental Science Wang TTaayylloorr && FFrraanncciiss SSeerriieess iinn RReemmoottee SSeennssiinngg AApppplliiccaattiioonnss Weng QQiihhaaoo WWeenngg,, SSeerriieess EEddiittoorr R E M O T E REMOTE SENSING S E N S I N G of Natural Resources Advanced Praise R “… a comprehensive view and real-world examples of remote of Natural Resources sensing technologies in natural resources assessment and monitoring. E o … state-of-the-art knowledge in this multidisciplinary field. Readers can expect to finish the book armed with the required knowledge to fM understand the immense literature available and apply their knowledge to the understanding of sampling design, the analysis of multisource N Edited By Guangxing Wang • Qihao Weng O imagery, and the application of the techniques to specific problems a relevant to natural resources.” t T —Professor Yuhong He, University of Toronto Mississauga, Ontario, Canada u r Highlighting new technologies, Remote Sensing of Natural Resources E a explores advanced remote sensing systems and algorithms for image processing, enhancement, feature extraction, data fusion, image classifi- l cation, image-based modeling, image-based sampling design, map S R accuracy assessment and quality control. It also discusses their applica- e tions for evaluation of natural resources, including sampling design, E s land use and land cover classification, natural landscape and ecosystem oN assessment, forestry, agriculture, biomass and carbon-cycle modeling, wetland classification and dynamics monitoring, and soils and u minerals mapping. rS c The book combines review chapters with case studies that demonstrate I e recent advances and developments of methods, techniques, and N s applications of remote sensing, with each chapter on a specific area of natural resources. Through a comprehensive examination of the G 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. K15446 R E M O T E S E N S I N G of Natural Resources Taylor & Francis Series in Remote Sensing Applications Series Editor Qihao Weng Indiana State University Terre Haute, Indiana, U.S.A. Remote Sensing of Natural Resources, edited by Guangxing Wang and Qihao Weng Remote Sensing of Land Use and Land Cover: Principles and Applications, Chandra P. Giri Remote Sensing of Protected Lands, edited by Yeqiao Wang Advances in Environmental Remote Sensing: Sensors, Algorithms, and Applications, edited by Qihao Weng Remote Sensing of Coastal Environments, edited by Qihao Weng Remote Sensing of Global Croplands for Food Security, edited by Prasad S. Thenkabail, John G. Lyon, Hugh Turral, and Chandashekhar M. Biradar Global Mapping of Human Settlement: Experiences, Data Sets, and Prospects, edited by Paolo Gamba and Martin Herold Hyperspectral Remote Sensing: Principles and Applications, Marcus Borengasser, William S. Hungate, and Russell Watkins Remote Sensing of Impervious Surfaces, edited by Qihao Weng Multispectral Image Analysis Using the Object-Oriented Paradigm, Kumar Navulur Taylor & Francis Series in Remote Sensing Applications Qihao Weng, Series Editor R E M O T E S E N S I N G of Natural Resources Guangxing Wang • Qihao Weng Edited By Boca Raton London New York CRC Press is an imprint of the Taylor & Francis Group, an informa business CRC Press Taylor & Francis Group 6000 Broken Sound Parkway NW, Suite 300 Boca Raton, FL 33487-2742 © 2014 by Taylor & Francis Group, LLC CRC Press is an imprint of Taylor & Francis Group, an Informa business No claim to original U.S. Government works Version Date: 20130524 International Standard Book Number-13: 978-1-4665-5693-5 (eBook - PDF) This book contains information obtained from authentic and highly regarded sources. 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Visit the Taylor & Francis Web site at http://www.taylorandfrancis.com and the CRC Press Web site at http://www.crcpress.com Contents Acknowledgments .........................................................................................................................ix Editors ..............................................................................................................................................xi Contributors .................................................................................................................................xiii Introduction to Remote Sensing of Natural Resources ........................................................xvii Section I Remote Sensing Systems 1. Introduction to Remote Sensing Systems, Data, and Applications .............................3 Qihao Weng Section II Sampling Design and Product Quality Assessment 2. Remote Sensing Applications for Sampling Design of Natural Resources .............23 Guangxing Wang and George Z. Gertner 3. Accuracy Assessment for Classification and Modeling ...............................................45 Suming Jin 4. Accuracy Assessment for Soft Classification Maps.......................................................57 Daniel Gómez, Gregory S. Biging, and Javier Montero 5. Spatial Uncertainty Analysis When Mapping Natural Resources Using Remotely Sensed Data .........................................................................................................87 Guangxing Wang and George Z. Gertner Section III Land Use and Land Cover Classification 6. Land Use/Land Cover Classification in the Brazilian Amazon with Different Sensor Data and Classification Algorithms ...............................................111 Guiying Li, Dengsheng Lu, Emilio Moran, Mateus Batistella, Luciano V. Dutra, Corina C. Freitas, and Sidnei J. S. Sant’Anna 7. Vegetation Change Detection in the Brazilian Amazon with Multitemporal Landsat Images........................................................................................127 Dengsheng Lu, Guiying Li, Emilio Moran, and Scott Hetrick 8. Extraction of Impervious Surfaces from Hyperspectral Imagery: Linear versus Nonlinear Methods ..................................................................................141 Xuefei Hu and Qihao Weng © 2008 Taylor & Francis Group, LLC v vi Contents 9. Road Extraction: A Review of LiDAR-Focused Studies .............................................155 Lindi J. Quackenbush, Jungho Im, and Yue Zuo Section IV Natural Landscape, Ecosystems, and Forestry 10. Application of Remote Sensing in Ecosystem and Landscape Modeling ..............173 Chonggang Xu and Min Chen 11. Plant Invasion and Imaging Spectroscopy ....................................................................191 Kate S. He and Duccio Rocchini 12. Assessing Military Training–Induced Landscape Fragmentation and Dynamics of Fort Riley Installation Using Spatial Metrics and Remotely Sensed Data ...............................................................................................207 Steve Singer, Guangxing Wang, Heidi R. Howard, and Alan B. Anderson 13. Automated Individual Tree-Crown Delineation and Treetop Detection with Very-High-Resolution Aerial Imagery .................................................................223 Le Wang and Chunyuan Diao 14. Tree Species Classification ...............................................................................................239 Ruiliang Pu 15. Estimation of Forest Stock and Yield Using LiDAR Data ..........................................259 Markus Holopainen, Mikko Vastaranta, Xinlian Liang, Juha Hyyppä, Anttoni Jaakkola, and Ville Kankare 16. National Forest Resource Inventory and Monitoring System ...................................291 Erkki Tomppo, Matti Katila, and Kai Mäkisara Section V Agriculture 17. Remote Sensing Applications on Crop Monitoring and Prediction ........................315 Bingfang Wu and Jihua Meng 18. Remote Sensing Applications to Precision Farming ...................................................333 Haibo Yao and Yanbo Huang 19. Mapping and Uncertainty Analysis of Crop Residue Cover Using Sequential Gaussian Cosimulation with QuickBird Images ....................................353 Cha-Chi Fan, Guangxing Wang, George Z. Gertner, Haibo Yao, Dana G. Sullivan, and Mark Masters Section VI Biomass and Carbon Cycle Modeling Jing M. Chen © 2008 Taylor & Francis Group, LLC Contents vii 21. LiDAR Remote Sensing of Vegetation Biomass ..........................................................399 Qi Chen 22. Carbon Cycle Modeling for Terrestrial Ecosystems ....................................................421 Tinglong Zhang and Changhui Peng 23. Remote Sensing Applications to Modeling Biomass and Carbon of Oceanic Ecosystems ........................................................................................443 Samantha Lavender and Wahid Moufaddal Section VII Wetland, Soils, and Minerals 24. Wetland Classification .......................................................................................................461 Maycira Costa, Thiago S. F. Silva, and Teresa L. Evans 25. Remote Sensing Applications to Monitoring Wetland Dynamics: A Case Study on Qinghai Lake Ramsar Site, China ...................................................479 Hairui Duo, Linlu Shi, and Guangchun Lei 26. Hyperspectral Sensing on Acid Sulfate Soils via Mapping Iron-Bearing and Aluminum-Bearing Minerals on the Swan Coastal Plain, Western Australia ......495 Xianzhong Shi and Mehrooz Aspandiar © 2008 Taylor & Francis Group, LLC