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E-grāmata: Remote Sensing Handbook, Volume III: Agriculture, Food Security, Rangelands, Vegetation, Phenology, and Soils 2nd edition [Taylor & Francis e-book]

Edited by (United States Geological Survey (USGS), Flagstaff, AZ)
  • Formāts: 788 pages, 62 Tables, black and white; 165 Line drawings, color; 42 Line drawings, black and white; 48 Halftones, color; 2 Halftones, black and white; 213 Illustrations, color; 44 Illustrations, black and white
  • Sērija : Remote Sensing Handbook
  • Izdošanas datums: 29-Nov-2024
  • Izdevniecība: CRC Press
  • ISBN-13: 9781003541165
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  • Taylor & Francis e-book
  • Cena: 271,26 €*
  • * this price gives unlimited concurrent access for unlimited time
  • Standarta cena: 387,50 €
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Remote Sensing Handbook, Volume III: Agriculture, Food Security, Rangelands, Vegetation, Phenology, and Soils 2nd editionPalielināt
  • Formāts: 788 pages, 62 Tables, black and white; 165 Line drawings, color; 42 Line drawings, black and white; 48 Halftones, color; 2 Halftones, black and white; 213 Illustrations, color; 44 Illustrations, black and white
  • Sērija : Remote Sensing Handbook
  • Izdošanas datums: 29-Nov-2024
  • Izdevniecība: CRC Press
  • ISBN-13: 9781003541165
Citas grāmatas par šo tēmu:
Taylor & Francis e-booksMore info about Taylor & Francis e-books
Rokasgrāmatas mājas lapa: https://www.taylorfrancis.com/books/9781003541165

Volume III of the Remote Sensing Handbook, Second Edition, is focused on agriculture, food security, vegetation, phenology, rangelands, soils, and global biomass modeling, mapping, and monitoring using multi-sensor remote sensing. This book is an essential resource for researchers at all levels interested in using remote sensing.



Volume III of the Six Volume Remote Sensing Handbook, Second Edition, is focused on agriculture; food security; vegetation; phenology; rangelands; soils; and global biomass modeling, mapping, and monitoring using multi-sensor remote sensing. It discusses the application of remote sensing in agriculture systems analysis, phenology, cropland mapping and modeling, terrestrial vegetation studies, physically based models, food and water security, precision farming, crop residues, global view of rangelands, and soils. This thoroughly revised and updated volume draws on the expertise of a diverse array of leading international authorities in remote sensing and provides an essential resource for researchers at all levels interested in using remote sensing. It integrates discussions of remote sensing principles, data, methods, development, applications, and scientific and social context.

FEATURES

  • Provides the most up-to-date comprehensive coverage of remote sensing science in agriculture, vegetation, and soil studies.
  • Discusses and analyzes data from old and new generations of satellites and sensors spread across 60 years.
  • Provides comprehensive assessment of modeling, mapping, and monitoring agricultural crops, vegetation, and soils from wide array of sensors, methods, and techniques.
  • Includes numerous case studies on advances and applications at local, regional, and global scales.
  • Introduces advanced methods in remote sensing such as machine learning, cloud computing, and AI.
  • Highlights scientific achievements over the last decade and provides guidance for future developments.

This volume is an excellent resource for the entire remote sensing and GIS community. Academics, researchers, undergraduate and graduate students, as well as practitioners, decision makers, and policymakers, will benefit from the expertise of the professionals featured in this book, and their extensive knowledge of new and emerging trends.

Part I: Vegetation and Biomass. 1. Measuring Photosynthesis Productivity from Space.
2. Remote Sensing of Solar-Induced Chlorophyll Fluorescence.
3. Canopy Biophysical Variables Retrieval from the Inversion of Reflectance Models.
4. Agricultural Crop Biophysical and Biochemical Quantity Retrievals using Remote Sensing with Multi-Sensor.
5. Agriculture. Part II: Agricultural Croplands.
6. Agricultural Systems Studies using Remote Sensing.
7. Global Food Security Support Analysis Data (GFSAD) at Nominal 1-km derived from Remote Sensing in Support of Food Security in the Twenty-first Century: Current Achievements and Future Possibilities.
8. Remote Sensing for Precision Agriculture.
9. Remote Sensing of Tillage Status. Part III: Rangelands.
10. Hyperspectral Remote Sensing for Terrestrial Applications.
11. A Global View of Remote Sensing of Rangelands: Evolution, Applications, Future Pathways.
12. Remote Sensing of Rangeland Biodiversity. Part IV: Phenology and Food Security.
13. Characterization, Mapping, and Monitoring of Rangelands: Methods and Approaches. Part V: Soils.
14. Global Land Surface Phenology and Implications for Food Security.
15. Spectral Sensing from Ground to Space in Soil Science: State of the Art, Applications, Potential and Perspectives.
16. Remote Sensing of Soil in the Optical Domains. Part VI: Summary and Synthesis for Volume III.
17. Remote Sensing Handbook, Vol III: Agriculture, Food Security, Rangelands, Vegetation, Phenology, and Soils.

Dr. Prasad S. Thenkabail, Senior Scientist (ST), United States Geological Survey (USGS), is a world-recognized expert in remote sensing science with major contributions in the field for nearly 40 years. He has made the list of the worlds top 1% of scientists across 22 scientific fields and 176 sub-fields. Dr. Thenkabail has conducted pioneering research in hyperspectral remote sensing of vegetation, global croplands, and their water use for food security. He obtained his PhD from the Ohio State University in 1992 and has 168 peer-reviewed publications including 15 books, including this six-volume set, and over 15 major data releases such as the Landsat-derived global cropland extent product @ 30m and Landsat-derived rainfed and irrigated cropland area product @ 30 m (LGRIP30). He was recognized as a Fellow of the American Society of Photogrammetry and Remote Sensing (ASPRS) in 2023. His scientific papers have won several awards for demonstrating world-class, highest-quality research. He was a Landsat Science Team Member (2007-2011).
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