Remote Sensing of Forest Environments: Concepts and Case Studies - Brossura

Brossura

ISBN 10: 146135014X ISBN 13: 9781461350149

Casa editrice: Springer-Nature New York Inc, 2012

Riassunto

<p><strong>Remote Sensing of Forest Environments: Concepts and Case Studies</strong> 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.</p><p><strong>Remote Sensing of Forest Environments: Concepts and Case Studies</strong> 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. </p>

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Recensione

"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)

Contenuti

Dedication. Editor Profiles. Preface. Acknowledgements. Section 1: Data collection and pre-processing. 1. Remote sensing of forest environments, Introduction. The transition from theory to information; M.A. Wulder, S.E. Franklin. 2. Selection of remotely sensed data; M.A. Levsky, W.B. Cohen. 3. The roles of arial photography in forestry remote sensing image analysis; R.J. Hall. 4. Indirect measurement of forest canopy structure from in situ optical sensors; R.A. Fournier, et al. 5. Accuracy assessment of maps of forest condition: Statistical design and methodological considerations; R.L. Czaplewski. Section 2: Common methods for data processing and information generation. 6. Geometric correction of remotely sensed images; T. Toutin. 7. Radiometric image processing; D.R. Peddle, et al. 8. Per-pixel analysis of forest structure: Vegetation indices, spectral mixture analysis and canopy reflectance modeling; G.P. Asner, et al. 9. Extracting individual tree information: A survey of techniques for high spatial resolution imagery; D.S. Culvenor. 10. Rationale and conceptual framework for classification approaches to assess forest resources and properties; J. Franklin, et al. 11. Remote sensing of forests over time: Change types, methods, and opportunities; Peng Gong, Bing Xu. 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; J. Cihlar, et al. 13. National scale forest information extraction from coarse resolution satellite data, Part 2. Forest biophysical parameters and carbon; J. Cihlar, et al. 14. Regional forest land cover characterisation using medium spatial resolution satellite data; Chenquan Huang, et al. 15. Modeling forest productivity using data acquired through remote sensing; N.C. Coops, J.D. White. 16. Experiences in field data collection: In support of land use and land cover change classification in boreal and tropical environments; G.A. Sánchez-Azofeifa, et al. 17. Estimation of foliar chemistry of western hemlock using hyperspectral data; K.O. Niemann, D.G. Goodenough. 18. Using georeferenced large-scale aerial videography as a surrogate for ground validation data; D. Slaymaker. 19. Tree and canopy height estimation with scanning lidar; B. St-Onge, et al. 20. Remote sensing of forest environments, conclusions, challenges and opportunities; S.E. Franklin, M.A. Wulder. Index.

Dettagli dell?edizione

• Editore: Springer-Nature New York Inc
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 146135014X
• ISBN 13: 9781461350149
• Rilegatura: Copertina flessibile
• Numero di pagine: 519
• Redattore: Wulder Michael A., Franklin Steven E.
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com