Remote Sensing of Natural Resources
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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Chapter 2 Remote Sensing Applications for Sampling Design of Natural Resources
Chapter 3 Accuracy Assessment for Classification and Modeling
Chapter 4 Accuracy Assessment for Soft Classification Maps
Chapter 5 Spatial Uncertainty Analysis When Mapping Natural Resources Using Remotely Sensed Data
Chapter 6 Land UseLand Cover Classification in the Brazilian Amazon with Different Sensor Data and Classification Algorithms
Chapter 7 Vegetation Change Detection in the Brazilian Amazon with Multitemporal Landsat Images
Linear versus Nonlinear Methods
Chapter 15 Estimation of Forest Stock and Yield Using LiDAR Data
Chapter 16 National Forest Resource Inventory and Monitoring System
Chapter 17 Remote Sensing Applications on Crop Monitoring and Prediction
Chapter 18 Remote Sensing Applications to Precision Farming
Chapter 19 Mapping and Uncertainty Analysis of Crop Residue Cover Using Sequential Gaussian Cosimulation with QuickBird Images
Chapter 20 Remote Sensing of Leaf Area Index of Vegetation Covers
Chapter 21 LiDAR Remote Sensing of Vegetation Biomass
Chapter 22 Carbon Cycle Modeling for Terrestrial Ecosystems
A Review of LiDARFocused Studies
Chapter 10 Application of Remote Sensing in Ecosystem and Landscape Modeling
Chapter 11 Plant Invasion and Imaging Spectroscopy
Chapter 12 Assessing Military TrainingInduced Landscape Fragmentation and Dynamics of Fort Riley Installation Using Spatial Metrics and Remotel...
Chapter 13 Automated Individual TreeCrown Delineation and Treetop Detection with VeryHighResolution Aerial Imagery
Chapter 14 Tree Species Classification
Chapter 23 Remote Sensing Applications to Modeling Biomass and Carbon of Oceanic Ecosystems
Chapter 24 Wetland Classification
A Case Study on Qinghai Lake Ramsar Site China
Chapter 26 Hyperspectral Sensing on Acid Sulfate Soils via Mapping IronBearing and AluminumBearing Minerals on the Swan Coastal Plain Wester...