Remote Sensing of Forest Environments Concepts and Case Studies
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 an...
Other Authors: | , |
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Format: | eBook |
Language: | English |
Published: |
New York, NY
Springer US
2003, 2003
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Edition: | 1st ed. 2003 |
Subjects: | |
Online Access: | |
Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 19. Tree and canopy height estimation with scanning lidar
- 20. Remote sensing of forest environments, Conclusions. Challenges and opportunities
- 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