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From Deformation Monitoring to Mechanism Insight: Assessing Sudden Subsidence Risk via an Improved 2D SBAS-InSAR and Physical Modeling Approach. [PDF]
Sensors (Basel)Du Q +6 more
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Deformation characteristics and motion process prediction analysis of the Lanbazi landslide in Wanzhou District, Chongqing. [PDF]
Sci RepXue H +6 more
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An ALoGI PU Algorithm for Simulating Kelvin Wake on Sea Surface Based on Airborne Ku SAR. [PDF]
Sensors (Basel)Zhai L, Gong Y, Zhang X.
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Unsupervised detection of building destruction during war from publicly available radar satellite imagery. [PDF]
PNAS NexusRacek D +4 more
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Interferometric synthetic aperture radar (InSAR): A long-term monitoring tool
2015Interferometric synthetic aperture radar (InSAR) imaging is a growing remote-sensing technique. The term “interferometry” draws its meaning from two root words: interfere and measure.
Zhong Lu +2 more
exaly +2 more sources
Journal of Geophysical Research, 2005
Atmospheric effects represent one of the major limitations of repeat‐pass interferometric synthetic aperture radar (InSAR). In this paper, GPS, and Moderate Resolution Imaging Spectroradiometer (MODIS) data were integrated to provide regional water vapor fields with a spatial resolution of 1 km × 1 km, and a water vapor correction model based on the ...
Zhenhong Li +2 more
exaly +3 more sources
Atmospheric effects represent one of the major limitations of repeat‐pass interferometric synthetic aperture radar (InSAR). In this paper, GPS, and Moderate Resolution Imaging Spectroradiometer (MODIS) data were integrated to provide regional water vapor fields with a spatial resolution of 1 km × 1 km, and a water vapor correction model based on the ...
Zhenhong Li +2 more
exaly +3 more sources
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020
In this study, we developed a new SAR/InSAR-based land-cover classification algorithm for estimating surface roughness, a key parameter that is critical for accurate compound flood modeling. We successfully classified the Greater Houston area and New Orleans into nine classes with distinct surface roughness using L-band ALOS PALSAR-1 data.
Ke Wang 0050 +3 more
openaire +1 more source
In this study, we developed a new SAR/InSAR-based land-cover classification algorithm for estimating surface roughness, a key parameter that is critical for accurate compound flood modeling. We successfully classified the Greater Houston area and New Orleans into nine classes with distinct surface roughness using L-band ALOS PALSAR-1 data.
Ke Wang 0050 +3 more
openaire +1 more source
Geological Society of America Bulletin, 2002
Since the early 1990s, sinkholes and wide, shallow subsidence features (WSSFs) have become major problems along the Dead Sea shores in Israel and Jordan. Sinkholes are readily observed in the field, but their locations and timing are unpredictable. WSSFs are often difficult to observe in the field.
Gidon Baer +5 more
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Since the early 1990s, sinkholes and wide, shallow subsidence features (WSSFs) have become major problems along the Dead Sea shores in Israel and Jordan. Sinkholes are readily observed in the field, but their locations and timing are unpredictable. WSSFs are often difficult to observe in the field.
Gidon Baer +5 more
openaire +1 more source