Proceedings Paper
Structural analysis of forest areas in high-resolution SAR images| Format | Member Price | Non-Member Price |
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Paper Abstract
Nowadays, climatic and socio-economic conditions require a change in thinking in the field of state forest management.
A high demand for up to date and precise forest information is given - especially in regard to increasing forest damages
by natural hazards. The increasing availability of high-resolution and shortly-revisiting satellite systems (e.g., TerraSAR-X,
Cosmo-SkyMed, RapidEye) allows to support such monitoring tasks. A TerraSAR-X image pair was analyzed
focusing on the image analysis of forest areas. There, the advantage of the higher geometric resolution and the
independance to sun-illumination of the SAR imagery compared to electro-optical image data was taken. The study in
this paper deals with the extraction of tree and forest heights as structural parameters.
Paper Details
Date Published: 26 October 2011
PDF: 15 pages
Proc. SPIE 8181, Earth Resources and Environmental Remote Sensing/GIS Applications II, 81810S (26 October 2011); doi: 10.1117/12.898214
Published in SPIE Proceedings Vol. 8181:
Earth Resources and Environmental Remote Sensing/GIS Applications II
Ulrich Michel; Daniel L. Civco, Editor(s)
PDF: 15 pages
Proc. SPIE 8181, Earth Resources and Environmental Remote Sensing/GIS Applications II, 81810S (26 October 2011); doi: 10.1117/12.898214
Show Author Affiliations
Markus Boldt, Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (Germany)
Antje Thiele, Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (Germany)
Karlsruhe Institute of Technology (Germany)
Antje Thiele, Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (Germany)
Karlsruhe Institute of Technology (Germany)
Karsten Schulz, Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (Germany)
Stefan Hinz, Karlsruhe Institute of Technology (Germany)
Stefan Hinz, Karlsruhe Institute of Technology (Germany)
Published in SPIE Proceedings Vol. 8181:
Earth Resources and Environmental Remote Sensing/GIS Applications II
Ulrich Michel; Daniel L. Civco, Editor(s)
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