Remote sensing of natural resources
Edited By
Guangxing Wang, Qihao Weng
Taylor & Francis Series in
Remote Sensing Applications
Series Editor Qihao Weng Indiana State University
Terre Haute, Indiana, U.S.A.
CRC Press
Taylor & Francis Group
2014
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
Features
- Includes contributions of 50 scientists working in the remote sensing field across the globe
- Presents an overview of the most updated remote sensing systems and algorithms
- Demonstrates the most advanced image-based algorithms and their applications for both classification and modeling of natural resources
- Examines a wide range of essential techniques, technologies, and theories
- Provides examples of successful applications in sampling design, land use and land cover, landscape and ecosystems, forestry, agriculture, biomass and carbons cycle modeling, wetlands classification as well as soils and minerals mapping
Summary
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.
Table of Contents
Remote Sensing Systems
Introduction to Remote Sensing Systems, Data, and Applications, Qihao Weng
Sampling Design and Product Quality Assessment
Remote Sensing Applications for Sampling Design of Natural Resources, Guangxing Wang and George Z. Gertner
Accuracy Assessment for Classification and Modeling, Suming Jin
Accuracy Assessment for Soft Classification Maps, Daniel Gómez, Gregory S. Biging, and Javier Montero
Spatial Uncertainty Analysis When Mapping Natural Resources Using Remotely Sensed Data, Guangxing Wang and George Z. Gertner
Land Use and Land Cover Classification
Land Use/Land Cover Classification in the Brazilian Amazon with Different Sensor Data and Classification Algorithms, Guiying Li, Dengsheng Lu, Emilio Moran, Mateus Batistella, Luciano V. Dutra, Corina C. Freitas, and Sidnei J. S. Sant’Anna
Vegetation Change Detection in the Brazilian Amazon with Multitemporal Landsat Images, Dengsheng Lu, Guiying Li, Emilio Moran, and Scott Hetrick
Extraction of Impervious Surfaces from Hyperspectral Imagery: Linear versus Nonlinear Methods, Xuefei Hu and Qihao Weng
Road Extraction: A Review of LiDAR-Focused Studies, Lindi J. Quackenbush, Jungho Im, and Yue Zuo
Natural Landscape, Ecosystems, and Forestry
Application of Remote Sensing in Ecosystem and Landscape Modeling, Chonggang Xu and Min Chen
Plant Invasion and Imaging Spectroscopy, Kate S. He and Duccio Rocchini
Assessing Military Training–Induced Landscape Fragmentation and Dynamics of Fort Riley Installation Using Spatial Metrics and Remotely Sensed Data, Steve Singer, Guangxing Wang, Heidi R. Howard, and Alan B. Anderson
Automated Individual Tree-Crown Delineation and Treetop Detection with Very-High-Resolution Aerial Imagery, Le Wang and Chunyuan Diao
Tree Species Classification, Ruiliang Pu
Estimation of Forest Stock and Yield Using LiDAR Data, Markus Holopainen, Mikko Vastaranta, Xinlian Liang, Juha Hyyppä, Anttoni Jaakkola, and Ville Kankare
National Forest Resource Inventory and Monitoring System, Erkki Tomppo, Matti Katila, and Kai Mäkisara
Agriculture
Remote Sensing Applications on Crop Monitoring and Prediction, Bingfang Wu and Jihua Meng
Remote Sensing Applications to Precision Farming, Haibo Yao and Yanbo Huang
Mapping and Uncertainty Analysis of Crop Residue Cover Using Sequential Gaussian Cosimulation with QuickBird Images, Cha-Chi Fan, Guangxing Wang, George Z. Gertner, Haibo Yao, Dana G. Sullivan, and Mark Masters
Biomass and Carbon Cycle Modeling
Remote Sensing of Leaf Area Index of Vegetation Covers, Jing M. Chen
LiDAR Remote Sensing of Vegetation Biomass, Qi Chen
Carbon Cycle Modeling for Terrestrial Ecosystems, Tinglong Zhang and Changhui Peng
Remote Sensing Applications to Modeling Biomass and Carbon of Oceanic Ecosystems, Samantha Lavender and Wahid Moufaddal
Wetland, Soils, and Minerals
Wetland Classification, Maycira Costa, Thiago S. F. Silva, and Teresa L. Evans
Remote Sensing Applications to Monitoring Wetland Dynamics: A Case Study on Qinghai Lake Ramsar Site, China, Hairui Duo, Linlu Shi, and Guangchun Lei
Hyperspectral Sensing on Acid Sulfate Soils via Mapping Iron-Bearing and Aluminum-Bearing Minerals on the Swan Coastal Plain, Western Australia, Xianzhong Shi and Mehrooz Aspandiar
Index
Dr. Qihao Weng is the Director of the Center for Urban and Environmental Change and a Professor of geography at Indiana State University, USA. He was a visiting NASA Senior Fellow (2008-09). Dr. Weng is also a Guest/Adjunct Professor at Peking University, Wuhan University, and Beijing Normal University, and a guest research scientist at Beijing Meteorological Bureau, China. He received an A.S. in geography from Minjiang University, China, in 1984, an M.S. in physical geography from South China Normal University in 1990, an M.A. in geography from the University of Arizona in 1996, and a Ph.D. in geography from the University of Georgia in 1999. At the same year, he joined the University of Alabama as an assistant professor. Since 2001, he has been a member of the faculty in the Department of Geography, Geology, and Anthropology at Indiana State University, where he has taught five courses on remote sensing, digital image processing, remote sensing-GIS integration and two courses on GIS and environmental modeling, and has mentored 10 doctoral and 7 master students.
Dr. Weng’s research focuses on remote sensing and GIS analysis of urban ecological and environmental systems, land-use and land-cover change, environmental modeling, urbanization impacts, and human-environment interactions. Dr. Weng is the author of over 130 peer-reviewed journal articles and other publications, as well as 5 books (Urban Remote Sensing; Remote Sensing of Impervious Surfaces; Remote Sensing and GIS Integration; Advances in Environmental Remote Sensing; An Introduction to Contemporary Remote Sensing). He has worked extensively with optical and thermal remote sensing data, and more recently with LiDAR data, primarily for urban heat island study, land-cover and impervious surface mapping, urban growth detection, image analysis algorithms, and the integration with socioeconomic characteristics, with financial support from US funding agencies that include NSF, NASA, USGS, USAID, NOAA, National Geographic Society, and Indiana Dept of Natural Resources. Dr. Weng was the recipient of the Robert E. Altenhofen Memorial Scholarship Award by the American Society for Photogrammetry and Remote Sensing (1999), the Best Student-Authored Paper Award by the International Geographic Information Foundation (1998), and the 2010 Erdas Award for Best Scientific Paper in Remote Sensing by ASPRS (1st place). At Indiana State University, he received the Theodore Dreiser Distinguished Research Award in 2006 (the university’s highest research honor) and was selected as a Lilly Foundation Faculty Fellow in 2005 (one of the six recipients). In May 2008, he received a prestigious NASA senior fellowship, allowing him to work at Marshall Space Flight Center on the concept development of a new hyperspectral sensor and its applications. Recently, Dr. Weng was named as the 2011 recipient of Outstanding Contributions Award in Remote Sensing sponsored by American Association of Geographers (AAG) Remote Sensing Specialty Group. Dr. Weng has given over 70 invited talks (including colloquia, seminars, keynote address and public speech), and has presented over 100 papers at professional conferences (including co-presenting).
Dr. Weng is the Task Leader for GEO’s SB-04, Global Urban Observation and Information (2012-15). In addition, he serves as an Associate Editor of ISPRS Journal of Photogrammetry and Remote Sensing and Spatial Hydrology, and is the series editor for both Taylor & Francis Series in Remote Sensing Applications and McGraw-Hill Series in GIS&T. His past service included as a National Director of American Society for Photogrammetry and Remote Sensing (2007-2010), Chair of AAG China Geography Specialty Group (2010-2011), and the Secretary of ISPRS Working Group VIII/1 (Human Settlement and Impact Analysis, 2004-08), as well as a panel member of U.S. DOE’s Cool Roofs Roadmap and Strategy in 2010.
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