2nd Edition
Remote Sensing Handbook, Volume IV Forests, Biodiversity, Ecology, LULC, and Carbon
Volume IV of the Remote Sensing Handbook, Second Edition, is focused on the use of remote sensing in forestry, biodiversity, ecology, land use and land cover, and global terrestrial carbon mapping and monitoring. It discusses remote sensing studies of multi-scale habitat modeling, forest informatics, tree and stand height studies, land cover and land use (LCLU) change mapping, forest biomass and carbon modeling and mapping, and advanced image analysis methods and advances in land remote sensing using optical, Radar, LiDAR, and hyperspectral remote sensing. 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 for forests, biodiversity, land cover and land use change (LCLUC), biomass and carbon.
- Discusses and analyzes data from old and new generation of satellites and sensors spread across 60 years.
- Extensive forestry, LCLUC studies, biomass and carbon using optical, radar, LiDAR, and hyperspectral data.
- 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: Forests
1. Characterizing Tropical Forests with Multispectral Imagery
E. H. Helmer, Nicholas R. Goodwin, Valéry Gond, et al.
2. Remote Sensing of Forests from Lidar and Radar
Juha Hyyppä, Xiaowei Yu, Mika Karjalainen, et al.
3. Forest Biophysical and Biochemical Properties from Hyperspectral and LiDAR Remote Sensing
Gregory P. Asner, Susan L. Ustin, Philip A. Townsend, et al.
4. Optical Remote Sensing of Tree and Stand Heights
Sylvie Durrieu, Cédric Véga, Marc Bouvier, et al.
Part II: Biodiversity
5. Biodiversity of the World: A Study from Space
Thomas W. Gillespie, Morgan Rogers, Chelsea Robinson, et al.
6. Multi-scale Habitat Mapping and Monitoring using Satellite Data and Advanced Image Analysis Techniques
Stefan Lang, Christina Corbane, Palma Blonda, et al.
Part III: Ecology
7. Ecological Characterization of Vegetation Using Multi-Sensor Remote Sensing in the Solar Reflective Spectrum
Conghe Song, Jing Ming Chen, Taehee Hwang, et al.
Part IV: Land Use/Land Cover
8. Land Cover Change Detection
John Rogan and Nathan Mietkiewicz
9. Land Use and Land Cover Mapping and Monitoring with Radar Remote Sensing
Zhixin Qi, Anthony Gar-On Yeh, Xia Li, et al.
Part V: Carbon
10. Global Carbon Budgets and the Role of Remote Sensing
Richard A. Houghton
11. Above-ground Terrestrial Biomass and Carbon Stock Estimations from Multi-sensor Remote Sensing
Wenge Ni-Meister
Part VI: Summary and Synthesis of Volume IV
12. Remote Sensing Handbook, Volume IV: Forests, Biodiversity, Ecology, LULC and Carbon
Prasad Thenkabail
Biography
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 world’s 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).
