Remote Sensing of Forest Environments: Concepts and Case by Michael A. Wulder, Steven E. Franklin

By Michael A. Wulder, Steven E. Franklin

Remote Sensing of wooded area Environments: innovations and Case Studies is an edited quantity meant to supply readers with a cutting-edge synopsis of the present tools and utilized functions hired in distant sensing the world's forests. The contributing authors have sought to demonstrate and deepen our knowing of distant sensing of forests, supplying new insights and indicating possibilities which are created while forests and wooded area practices are thought of in live performance with the evolving paradigm of distant sensing technological know-how. Following heritage and techniques sections, this e-book introduces a chain of case stories that exemplify the ways that remotely sensed facts are operationally used, as a component of the decision-making approach, and within the clinical research of forests.

Remote Sensing of woodland Environments: thoughts and Case Studies is designed to fulfill the wishes of a pro viewers composed of either practitioners and researchers. This ebook is additionally appropriate as a secondary textual content for graduate-level scholars in Forestry, Environmental technological know-how, Geography, Engineering, and machine technological know-how.

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Extra resources for Remote Sensing of Forest Environments: Concepts and Case Studies

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Baltzer, H. (2001) Forest mapping and monitoring with interferometric synthetic aperture radar (InSAR). Progress in Physical Geography, 25,159-177. , & Ahem, F. J. (1995). Incidence angle effects on the interpretability of forest c1earcuts using airborne C-HH SAR imagery. Canadian Journal of Remote Sensing, 21, 64-66. Brock, J. , & Wright, C. W. (2000). Preliminary results from a NASA Experimental Advanced Airborne Research LIDAR (EAARL) survey of Pacific Reef in Biscayne National Park, Florida.

As technology improved and more data could be recorded, hyperspectral sensors were developed. These sensors record many (often more than 200 as in AVIRlS - See Colour Plate ]) narrow bands, and avoid the errors introduced by low spectral resolution (Niemann and Goodenough, Chapter] 7). Although these sensors have been in the commercial market, and satellite systems are being worked on, they are more costly and more difficult to obtain then satellite images or hyperspatial images. J. Andrews Experimenta] Forest.

Thomas, G. S. (1976). The tasseled cap--A graphic description of the spectraltemporal development of agricultural crops as seen by Landsat. Proc. Second Ann. Symp. Machine Processing 0/ Remotely Sensed Data. Purdue U. Lab. App. , West Lafayette IN, 6 June-2 July. Kimes, D. , & Sellers, P. J. (1993). Spatial averaging errors in creating hemispherical reflectance (albedo) maps from directional reflectance data. Remote Sensing ofEnvironment, 45, 85-94. Kramer, H. J. (2001). ). Springer-Verlag, Berlin.

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