{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T08:03:27Z","timestamp":1768809807849,"version":"3.49.0"},"reference-count":40,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2011,4,13]],"date-time":"2011-04-13T00:00:00Z","timestamp":1302652800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/rs3040792","type":"journal-article","created":{"date-parts":[[2011,4,13]],"date-time":"2011-04-13T09:52:36Z","timestamp":1302688356000},"page":"792-815","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":71,"title":["Forest Assessment Using High Resolution SAR Data in X-Band"],"prefix":"10.3390","volume":"3","author":[{"given":"Roland","family":"Perko","sequence":"first","affiliation":[{"name":"Research Group on Remote Sensing and Geoinformation, Institute for Information and Communication Technologies, Joanneum Research, Wastiangasse 6, 8010 Graz, Austria"}]},{"given":"Hannes","family":"Raggam","sequence":"additional","affiliation":[{"name":"Research Group on Remote Sensing and Geoinformation, Institute for Information and Communication Technologies, Joanneum Research, Wastiangasse 6, 8010 Graz, Austria"}]},{"given":"Janik","family":"Deutscher","sequence":"additional","affiliation":[{"name":"Research Group on Remote Sensing and Geoinformation, Institute for Information and Communication Technologies, Joanneum Research, Wastiangasse 6, 8010 Graz, Austria"}]},{"given":"Karlheinz","family":"Gutjahr","sequence":"additional","affiliation":[{"name":"Research Group on Remote Sensing and Geoinformation, Institute for Information and Communication Technologies, Joanneum Research, Wastiangasse 6, 8010 Graz, Austria"}]},{"given":"Mathias","family":"Schardt","sequence":"additional","affiliation":[{"name":"Research Group on Remote Sensing and Geoinformation, Institute for Information and Communication Technologies, Joanneum Research, Wastiangasse 6, 8010 Graz, Austria"}]}],"member":"1968","published-online":{"date-parts":[[2011,4,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"West, P. 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