Land Resources Monitoring, Modeling, and Mapping with Remote Sensing by Thenkabail, Ph.D. Prasad S.;

Rövid leírás:

With more than 100 leading global contributors, this book is the most comprehensive documentation of the scientific and methodological advances that have taken place in understanding remote sensing data, methods, and applications over last 50 years. In a very practical way the book demonstrates the experience, utility, methods and models used in studying a wide array of Land applications.

Hosszú leírás:

A volume in the three-volume Remote Sensing Handbook series, Land Resources Monitoring, Modeling, and Mapping with Remote Sensing documents the scientific and methodological advances that have taken place during the last 50 years. The other two volumes in the series are Remotely Sensed Data Characterization, Classification, and Accuracies, and Remote Sensing of Water Resources, Disasters, and Urban Studies.

In true handbook style, the chapters in the volume have been carefully selected, organized, and designed to be self-contained so that you can focus on a chapter and read it through without having to be overly dependent on other chapters. This volume provides comprehensive theoretical and practical coverage of remote sensing of land resources that include vegetation and biomass, agricultural croplands, rangelands, phenology and food security, forests, biodiversity, ecology, land use\land cover, carbon, and soils.

Highlights include:

• Global terrestrial carbon and carbon budgets



• Precision farming



• Agricultural systems studies and soil studies



• Global croplands, agricultural croplands, and rangelands



• Food security analysis



• Biodiversity



• Land use and land cover mapping



• Measuring photosynthesis from space



• Vegetation characterization and above ground biomass measurements and modeling



• Hyperspectral remote sensing



• Ecological studies



• Tropical forest characterization



• Habitat mapping and monitoring

In a very practical way, the book demonstrates the experience, utility, methods, and models used in studying a wide array of land applications. With more than 100 leading global contributors, this book is the most comprehensive documentation of the scientific and methodological advances that have taken place in understanding remote sensing data, methods, and applications over last 50 years. In a very practical way the book demonstrates the experience, utility, methods and models used in studying a wide array of Land applications.

Here Is What Top Global Remote Sensing Experts Say about the Remote Sensing Handbook, Three-Volume Set

1. Remotely Sensed Data Characterization, Classification, and Accuracies

2. Land Resources Monitoring, Modeling, and Mapping with Remote Sensing

3. Remote Sensing of Water Resources, Disasters, and Urban Studies

"I have had the pleasure and honor to be involved in the field of remote sensing for nearly 50 years. To say that much has changed and been accomplished in this field over this time period is a severe understatement. It would require literally hundreds of experts on a global basis to characterize the history, scope, utility, dynamism, and future outlook for remote sensing. It is this exact feat that is accomplished through the contributions of over 300 highly respected, international researchers and practitioners in the production of Remote Sensing Handbook (three volumes). This comprehensive treatise sets a new standard for spanning and integrating discussion of remote sensing principles, data, methods, development, applications, and scientific and social context. It will be an invaluable multidisciplinary reference for many years to come."
? Dr. Thomas M. Lillesand, Emeritus Professor of Remote Sensing, University of Wisconsin-Madison, USA, and chief author of the most widely read Remote Sensing and Image Interpretation

"It is a great pleasure to be asked to endorse this comprehensive new book. It is a truly ambitious task to bring together so much information about remote sensing and the range of the material covered is impressive. It puts one in mind of the Manual of Remote Sensing, first edition 1975, second edition 1983. While much of the basic information in that earlier book is still valid, things have moved on and there was clearly scope for a new approach. In those early days, the systems flown in space were the early Landsat sat

Tartalomjegyzék:

VEGETATION AND BIOMASS. Monitoring Photosynthesis from Space. Canopy Biophysical Variables Retrieval from the Inversion of Reflectance Models. Aboveground Terrestrial Biomass and Carbon Stock Estimations from Multisensor Remote Sensing. AGRICULTURAL CROPLANDS. Agriculture. Agricultural Systems Studies Using Remote Sensing. Global Food Security Support Analysis Data at Nominal 1 km (GFSAD1km) Derived from Remote Sensing in Support of Food Security in the Twenty-First Century: Current Achievements and Future Possibilities. Precision Farming. Remote Sensing of Tillage Status. Hyperspectral Remote Sensing for Terrestrial Applications. RANGELANDS. Global View of Remote Sensing of Rangelands: Evolution, Applications, Future Pathways. Remote Sensing of Rangeland Biodiversity. Characterization, Mapping, and Monitoring of Rangelands: Methods and Approaches. PHENOLOGY AND FOOD SECURITY. Global Land Surface Phenology and Implications for Food Security. FORESTS. Characterizing Tropical Forests with Multispectral Imagery. Remote Sensing of Forests from Lidar and Radar. Forest Biophysical and Biochemical Properties from Hyperspectral and LiDAR Remote Sensing. Optical Remote Sensing of Tree and Stand Heights. BIODIVERSITY. Biodiversity of the World: A Study from Space. Multiscale Habitat Mapping and Monitoring Using Satellite Data and Advanced Image Analysis Techniques. ECOLOGY. Ecological Characterization of Vegetation Using Multisensor Remote Sensing in the Solar Reflective Spectrum. LAND USE/LAND COVER. Land Cover Change Detection. Land Use and Land Cover Mapping and Change Detection and Monitoring Using Radar Remote Sensing. CARBON. Global Carbon Budgets and the Role of Remote Sensing. SOILS. Spectral Sensing from Ground to Space in Soil Science: State of the Art, Applications, Potential, and Perspectives. Remote Sensing of Soil in the Optical Domains. SUMMARY. Remote Sensing of Land Resources: Monitoring, Modeling, and Mapping Advances over the Last 50 Years and a Vision for the Future.