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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
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Remote Sens. 2011, 3(4), 792-815; https://doi.org/10.3390/rs3040792
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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