Remote Sensing of Natural Resources

Front Cover
Guangxing Wang, Qihao Weng
CRC Press, Jul 12, 2013 - Nature - 580 pages

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.

 

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Contents

Chapter 1 Introduction to Remote Sensing Systems Data and Applications
3
Chapter 2 Remote Sensing Applications for Sampling Design of Natural Resources
23
Chapter 3 Accuracy Assessment for Classification and Modeling
45
Chapter 4 Accuracy Assessment for Soft Classification Maps
57
Chapter 5 Spatial Uncertainty Analysis When Mapping Natural Resources Using Remotely Sensed Data
87
Chapter 6 Land UseLand Cover Classification in the Brazilian Amazon with Different Sensor Data and Classification Algorithms
111
Chapter 7 Vegetation Change Detection in the Brazilian Amazon with Multitemporal Landsat Images
127
Linear versus Nonlinear Methods
141
Chapter 15 Estimation of Forest Stock and Yield Using LiDAR Data
259
Chapter 16 National Forest Resource Inventory and Monitoring System
291
Chapter 17 Remote Sensing Applications on Crop Monitoring and Prediction
315
Chapter 18 Remote Sensing Applications to Precision Farming
333
Chapter 19 Mapping and Uncertainty Analysis of Crop Residue Cover Using Sequential Gaussian Cosimulation with QuickBird Images
353
Chapter 20 Remote Sensing of Leaf Area Index of Vegetation Covers
375
Chapter 21 LiDAR Remote Sensing of Vegetation Biomass
399
Chapter 22 Carbon Cycle Modeling for Terrestrial Ecosystems
421

A Review of LiDARFocused Studies
155
Chapter 10 Application of Remote Sensing in Ecosystem and Landscape Modeling
173
Chapter 11 Plant Invasion and Imaging Spectroscopy
191
Chapter 12 Assessing Military TrainingInduced Landscape Fragmentation and Dynamics of Fort Riley Installation Using Spatial Metrics and Remotel...
207
Chapter 13 Automated Individual TreeCrown Delineation and Treetop Detection with VeryHighResolution Aerial Imagery
223
Chapter 14 Tree Species Classification
239
Chapter 23 Remote Sensing Applications to Modeling Biomass and Carbon of Oceanic Ecosystems
443
Chapter 24 Wetland Classification
461
A Case Study on Qinghai Lake Ramsar Site China
479
Chapter 26 Hyperspectral Sensing on Acid Sulfate Soils via Mapping IronBearing and AluminumBearing Minerals on the Swan Coastal Plain Wester...
495
Back Cover
539
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About the author (2013)

Qihao Weng, Ph.D., is a professor of geography and the director of the Center for Urban and Environmental Change at Indiana State University. From 2008 to 2009, he visited NASA as a senior research fellow. Dr. Weng is also a guest/adjunct professor at Wuhan University and Beijing Normal University, and a guest research scientist at Beijing Meteorological Bureau. He currently serves as national director for the American Society for Photogrammetric and Remote Sensing (ASPRS) and is an associate editor of "ISPRS Journal of Photogrammetric and Remote Sensing.

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