• Explores how to choose remote sensing solutions to management problems and apply them to achieve sustainable forest management objectives and goals
• Addresses the 'I tried that once and it didn't work, so the whole thing is useless' syndrome
• Presents operational examples of forest change detection, forest defoliation monitoring, fire damage, forest classification, and forest growth modeling
• Draws a comprehensive picture of the state of the art in remote sensing data and methods applicable to sustainable forest management issues

Remote Sensing for Sustainable Forest Management reviews the literature and provides the tools for understanding and choosing remote sensing solutions for management problems.

The book presents methods and operational examples of forest change detection, forest defoliation monitoring, forest classification, and forest growth modeling. The concluding chapters discuss research issues and the future of remote sensing technologies. The author draws a comprehensive picture of the state of the art in remote sensing data and methods applicable to sustainable forest management issues.

This authoritative book explores the remote sensing methods that need to be adopted and adapted to the forest science issues that are emerging through the sustainable forest management approach. This approach is not driven by technology, but by questions about its fundamental processes. Remote Sensing for Sustainable Forest Management shows you how this technology can be used to answer these questions and achieve the goals of sustainable forest management.

Contents

1. Introduction
2. Forest Management Questions
3. Remote Sensing Data and Methods
4. Categories of Applications of Remote Sensing
5. Organization of the Book
6. Sustainable Forest Management
7. Definition of Sustainable Forest Management
8. Ecosystem Management
9. Criteria and Indicators of Sustainable Forest Management
10. Information Needs of Forest Managers
11. Role of Remote Sensing
12. Acquisition of Imagery
13. Field, Aerial, and Satellite Imagery
14. Data Characteristics
15. Resolution and Scale
16. Aerial Platforms and Sensors
17. Satellite Platforms and Sensors
18. General Limits of Airborne and Satellite Remote Sensing Data
19. Image Calibration and Processing
20. Georadiometric Effects and Spectral Response
21. Image Processing Systems and Functionality
22. Image Analysis Support Functions
23. Image Information Extraction
24. Image Understanding
25. Forest Modeling and GIS
26. Geographical Information Science
27. Ecosystem Process Models
28. Spatial Pattern Modeling
29. Forest Classification
30. Information on Forest Classes
31. Classification Systems for Use with Remote Sensing Data
32. Level I Classes
33. Level II Classes
34. Level III Classes
35. Forest Structure Estimation
36. Information on Forest Structure
37. Forest Inventory Variables
38. Biomass
39. Volume and Growth Assessment
40. Forest Change Detection
41. Information on Forest Change
42. Harvesting and Silviculture Activity
43. Natural Disturbances
44. Change in Spatial Structure
45. Conclusion
46. The Technological Approach - Revisited

Glossary
Appendix
Index

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