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Open AccessArticle

Forest Assessment Using High Resolution SAR Data in X-Band

Research Group on Remote Sensing and Geoinformation, Institute for Information and Communication Technologies, Joanneum Research, Wastiangasse 6, 8010 Graz, Austria
Author to whom correspondence should be addressed.
Remote Sens. 2011, 3(4), 792-815;
Received: 18 January 2011 / Revised: 25 February 2011 / Accepted: 14 March 2011 / Published: 13 April 2011
(This article belongs to the Special Issue 100 Years ISPRS - Advancing Remote Sensing Science)
Novel radar satellite missions also include sensors operating in X-band at very high resolution. The presented study reports methodologies, algorithms and results on forest assessment utilizing such X-band satellite images, namely from TerraSAR-X and COSMO-SkyMed sensors. The proposed procedures cover advanced stereo-radargrammetric and interferometric data processing, as well as image segmentation and image classification. A core methodology is the multi-image matching concept for digital surface modeling based on geometrically constrained matching. Validation of generated surface models is made through comparison with LiDAR data, resulting in a standard deviation height error of less than 2 meters over forest. Image classification of forest regions is then based on X-band backscatter information, a canopy height model and interferometric coherence information yielding a classification accuracy above 90%. Such information is then directly used to extract forest border lines. High resolution X-band sensors deliver imagery that can be used for automatic forest assessment on a large scale. View Full-Text
Keywords: SAR; high resolution; X-band; forestry; mapping; radargrammetry; classification; DSM/DTM SAR; high resolution; X-band; forestry; mapping; radargrammetry; classification; DSM/DTM
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Perko, R.; Raggam, H.; Deutscher, J.; Gutjahr, K.; Schardt, M. Forest Assessment Using High Resolution SAR Data in X-Band. Remote Sens. 2011, 3, 792-815.

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