Remote Sensing of Forest Environments: Concepts and Case Studies
is an edited volume intended to provide readers with a state-of-the-art synopsis of the current methods and applied applications employed in remote sensing the world's forests. The contributing authors have sought to illustrate and deepen our understanding of remote sensing of forests, providing new insights and indicating opportunities that are created when forests and forest practices are considered in concert with the evolving paradigm of remote sensing science. Following background and methods sections, this book introduces a series of case studies that exemplify the ways in which remotely sensed data are operationally used, as an element of the decision-making process, and in the scientific study of forests.
Remote Sensing of Forest Environments: Concepts and Case Studies
is designed to meet the needs of a professional audience composed of both practitioners and researchers. This book is also suitable as a secondary text for graduate-level students in Forestry, Environmental Science, Geography, Engineering, and Computer Science.
Reviews / Votes
"All chapters can easily be read as stand-alone papers. Some of the chapters may serve as excellent teaching material in application oriented training[...] Readers who are interested in remote sensing based data provision on forest and forest resources will find in this book a well done blend of scientific and application oriented papers and an extremely useful reference."
(Forstarchiv, 75:2 (2004)
Edition
Language
Place of publication
Target group
Professional and scholarly
Professional/practitioner
Illustrations
Dimensions
Height: 260 mm
Width: 183 mm
Thickness: 39 mm
Weight
ISBN-13
978-1-4020-7405-9 (9781402074059)
DOI
10.1007/978-1-4615-0306-4
Schweitzer Classification
Section 1: Data collection and pre-processing.- 1. Remote sensing of forest environments, Introduction. The transition from theory to information.- 2. Selection of remotely sensed data.- 3. The roles of aerial photographs in forestry remote sensing image analysis.- 4. Indirect measurement of forest canopy structure from in situ optical sensors.- 5. Accuracy assessment of maps of forest condition: Statistical design and methodological considerations.- Section 2: Common methods for data processing and information generation.- 6. Geometric correction of remotely sensed images.- 7. Radiometric image processing.- 8. Per-pixel analysis of forest structure: Vegetation indices, spectral mixture analysis and canopy reflectance modeling.- 9. Extracting individual tree information: A survey of techniques for high spatial resolution imagery.- 10. Rationale and conceptual framework for classification approaches to assess forest resources and properties.- 11. Remote sensing of forests over time: Change types, methods, and opportunities.- Section 3: Case studies illustrating methods and applications for remote sensing of forests.- 12. National scale forest information extraction from coarse resolution satellite data, Part 1. Data processing and mapping land cover types.- 13. National scale forest information extraction from coarse resolution satellite data, Part 2. Forest biophysical parameters and carbon.- 14. Regional forest land cover characterisation using medium spatial resolution satellite data.- 15. Modeling forest productivity using data acquired through remote sensing.- 16. Experiences in field data collection: In support of land use and land cover change classification in boreal and tropical environments.- 17. Estimation of foliar chemistry of western hemlock using hyperspectral data.- 18. Using georeferenced large-scale aerial videography as a surrogate for ground validation data.- 19. Tree and canopy height estimation with scanning lidar.- 20. Remote sensing of forest environments, Conclusions. Challenges and opportunities.
