کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4921937 1429523 2017 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Comparison of L-band and X-band differential interferometric synthetic aperture radar for mine subsidence monitoring in central Utah
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات زمین شناسی اقتصادی
پیش نمایش صفحه اول مقاله
Comparison of L-band and X-band differential interferometric synthetic aperture radar for mine subsidence monitoring in central Utah
چکیده انگلیسی

Differential interferometric synthetic aperture radar (DInSAR), a satellite-based remote sensing technique, has potential application for measuring mine subsidence on a regional scale with high spatial and temporal resolutions. However, the characteristics of synthetic aperture radar (SAR) data and the effectiveness of DInSAR for subsidence monitoring depend on the radar band (wavelength). This study evaluates the effectiveness of DInSAR for monitoring subsidence due to longwall mining in central Utah using L-band (24 cm wavelength) SAR data from the advanced land observing satellite (ALOS) and X-band (3 cm wavelength) SAR data from the TerraSAR-X mission. In the Wasatch Plateau region of central Utah, which is characterized by steep terrain and variable ground cover conditions, areas affected by longwall mine subsidence are identifiable using both L-band and X-band DInSAR. Generally, using L-band data, subsidence magnitudes are measurable. Compared to X-band, L-band data are less affected by signal saturation due to large deformation gradients and by temporal decorrelation due to changes in the surface conditions over time. The L-band data tend to be stable over relatively long periods (months). Short wavelength X-band data are strongly affected by signal saturation and temporal decorrelation, but regions of subsidence are typically identifiable over short periods (days). Additionally, though subsidence magnitudes are difficult to precisely measure in the central Utah region using X-band data, they can often be reasonably estimated.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Mining Science and Technology - Volume 27, Issue 1, January 2017, Pages 159-163
نویسندگان
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