Remote Sensing of Natural Resources: 1st Edition (Hardback) book cover

Remote Sensing of Natural Resources

1st Edition

Edited by Guangxing Wang, Qihao Weng

CRC Press

580 pages | 45 Color Illus. | 148 B/W Illus.

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pub: 2013-07-12
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Description

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.

Reviews

"… a useful read for all identified audiences. The mixed levels of the content matter make it more appealing for readers to invest in specific sections of the book that match with their interest."

—Photogrammetric Engineering & Remote Sensing, J u l y 2015

"… a comprehensive view on and real world examples of remote sensing technologies in natural resources assessment and monitoring. … state-of-the-art knowledge in this multidisciplinary field. Readers can expect to finish the book armed with the required knowledge to understand the immense literature available and apply their knowledge to the understanding of sampling design, the analysis of multi-source imagery, and the application of the techniques to specific problems relevant to natural resources."

—Yuhong He, University of Toronto Mississauga, Ontario, Canada

"The list of topics covered is so complete that I would recommend the book to anyone teaching a graduate course on vegetation analysis through digital image analysis. … I recommend this book then for anyone doing advanced digital image analysis and environmental GIS courses who want to cover topics related to applied remote sensing work involving vegetation analysis."

—Charles Roberts, Florida Atlantic University, Boca Raton, USA, in Economic Botany

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

About the Editors

Guangxing Wang, PhD, is an associate professor of remote sensing and geographic information systems (GIS) in the Department of Geography and Environment Resources at Southern Illinois University at Carbondale (SIUC), Illinois.

Qihao Weng, PhD is the director of the Center for Urban and Environmental Change and a Professor of geography at Indiana State University.

About the Series

Remote Sensing Applications Series

Learn more…

Subject Categories

BISAC Subject Codes/Headings:
NAT011000
NATURE / Environmental Conservation & Protection
TEC010000
TECHNOLOGY & ENGINEERING / Environmental / General
TEC036000
TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems