Detection of structural and lithological features underneath a vegetation canopy using SIR-C/X-SAR data in Zhao Qing test site of southern China

Mathematics – Logic

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

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.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

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.

Rate now

     

Profile ID: LFWR-SCP-O-1136842

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.