Mathematics – Logic
Scientific paper
Oct 1996
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1996jgr...10123101h&link_type=abstract
Journal of Geophysical Research, Volume 101, Issue E10, p. 23101-23108
Mathematics
Logic
Radio Science: Remote Sensing, Information Related To Geographic Region: Asia, Physical Properties Of Rocks: General Or Miscellaneous
Scientific paper
In a subtropical region, the application of remote sensing in geological survey and mapping is limited by the dense vegetation and soil cover and poor data availability due to clouds and rain. This study emphasizes the detection of structural and lithological features underneath a vegetation canopy using shuttle imaging radar C/X band synthetic aperture radar (SIR-C/X-SAR) data. Zhao Qing test site in southern China was selected for this study. The SIR-C/X-SAR data have advantages including all weather, all time imaging capability, high altitude, and wide swath along with the expanded information from multifrequency and multipolarization that improves the geological interpretibility, especially in a moist, vegetated region. This paper presents interpretations of structures, beds, and lithostratigraphic units from the shuttle imaging radar data, and makes an assessment of SIR-C/X-SAR data for geological mapping.
Huadong Guo
Liangpu Zhu
Xinqiao Lu
Yun Shao
No associations
LandOfFree
Detection of structural and lithological features underneath a vegetation canopy using SIR-C/X-SAR data in Zhao Qing test site of southern China does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Detection of structural and lithological features underneath a vegetation canopy using SIR-C/X-SAR data in Zhao Qing test site of southern China, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Detection of structural and lithological features underneath a vegetation canopy using SIR-C/X-SAR data in Zhao Qing test site of southern China will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1136842