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...

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Bibliographic Details
Other Authors: Wulder, Michael A. (Editor), Franklin, Steven E. (Editor)
Format: eBook
Language:English
Published: New York, NY Springer US 2003, 2003
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