DocumentCode :
2117707
Title :
The evaluation of different sensors and techniques for the detection of storm damages in forests
Author :
Steinmeier, C. ; Schwarz, M. ; Holecz, F. ; Stebler, O. ; Wagner, S.
Author_Institution :
Swiss Fed. Res. Inst. WSL, Birmensdorf, Switzerland
Volume :
3
fYear :
2002
fDate :
24-28 June 2002
Firstpage :
1774
Abstract :
After each disastrous storm event quick and reliable information of the extent of forest damage is required. This study investigates different remote sensing data and analysis methods for their possible fields of application to detect blowdowns. Therefore both optical satellite sensors and synthetic aperture radar data in various frequencies were evaluated. Obligatory aspects under consideration were the operational usage, the heterogeneity of the Swiss landscape, the effects of topography and season in Alpine regions and last but not least the financial conditions. Classification results were compared to aerial images which were interpreted manually on an stereoscopic base. The pros and cons of the sensors and the analysis techniques are very heterogeneous. In order to assign the appropriate data with the most suitable classification method, the primary objective of the classification must be set up.
Keywords :
forestry; image classification; radar imaging; remote sensing by radar; storms; synthetic aperture radar; vegetation mapping; Alpine regions; SAR data; Swiss landscape; Switzerland; analysis methods; analysis techniques; blowdowns; classification method; forests; optical satellite sensors; remote sensing data; stereoscopic aerial images; storm damage; storm information; synthetic aperture radar; topographic effects; Adaptive optics; Data analysis; Frequency; Laser radar; Optical sensors; Radar detection; Remote sensing; Satellites; Storms; Surfaces;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
Type :
conf
DOI :
10.1109/IGARSS.2002.1026250
Filename :
1026250
Link To Document :
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