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Forest Applications
Forest Applications
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- Papathanassiou, Kostas (author)
- Deutsches Zentrums für Luft- und Raumfahrt (DLR),German Aerospace Center (DLR)
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Cloude, S. R. (author)
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- Pardini, M. (author)
- Deutsches Zentrums für Luft- und Raumfahrt (DLR),German Aerospace Center (DLR)
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Quiñones, M. J. (author)
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- Hoekman, D. (author)
- Wageningen University and Research
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- Ferro-Famil, L. (author)
- Université de Rennes 1,University of Rennes 1
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- Goodenough, D. (author)
- University of Victoria
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- Chen, H. (author)
- Canadian Forest Service
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- Tebaldini, S. (author)
- Politecnico di Milano,Polytechnic University of Milan
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- Neumann, M. (author)
- Google Inc.
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- Ulander, Lars, 1962 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Soja, Maciej, 1985 (author)
- University of Tasmania
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(creator_code:org_t)
- 2021-05-11
- 2021
- English.
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In: Remote Sensing and Digital Image Processing. - Cham : Springer International Publishing. - 2215-1842 .- 1567-3200. ; 25, s. 59-117
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Abstract
Subject headings
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- The application of polarimetric Synthetic Aperture Radar (SAR) to forest observation for mapping, classification and parameter estimation (especially biomass) has a relatively long history. The radar penetration through forest volume, and hence the multi-layer nature of scattering models, make fully polarimetric data the observation space enabling a robust and full inversion of such models. A critical advance came with the introduction of polarimetric SAR interferometry, where polarimetry provides the parameter diversity, while the interferometric baseline proves a user-defined entropy control as well as spatial separation of scattering components, together with their location in the third dimension (height). Finally, the availability of multiple baselines leads to the full 3-D imaging of forest volumes through TomoSAR, the quality of which is again greatly enhanced by the inclusion of polarimetry. The objective of this Chapter is to review applications of SAR polarimetry, polarimetric interferometry and tomography to forest mapping and classification, height estimation, 3-D structure characterization and biomass estimation. This review includes not only models and algorithms, but it also contains a large number of experimental results in different test sites and forest types, and from airborne and space borne SAR data at different frequencies.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Naturresursteknik -- Fjärranalysteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Environmental Engineering -- Remote Sensing (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
Publication and Content Type
- kap (subject category)
- vet (subject category)
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Papathanassiou, ...
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Cloude, S. R.
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Pardini, M.
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Quiñones, M. J.
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Hoekman, D.
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Ferro-Famil, L.
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show more...
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Goodenough, D.
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Chen, H.
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Tebaldini, S.
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Neumann, M.
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Ulander, Lars, 1 ...
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Soja, Maciej, 19 ...
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- About the subject
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- ENGINEERING AND TECHNOLOGY
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ENGINEERING AND ...
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and Environmental En ...
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and Remote Sensing
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- ENGINEERING AND TECHNOLOGY
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ENGINEERING AND ...
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and Electrical Engin ...
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and Signal Processin ...
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Computer Vision ...
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Remote Sensing a ...
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Chalmers University of Technology