scholarly journals LAKE URMIA BRIDGE STABILITY ASSESSMENT: RESULTS FROM TERRASAR-X SPOTLIGHT MODE IMAGES

2015 ◽  
Vol XL-1-W5 ◽  
pp. 313-317
Author(s):  
F. Hosseini ◽  
M. Motagh ◽  
S. Vajedian ◽  
M. A. Sharifi
Keyword(s):  
High Resolution ◽  
Deformation Analysis ◽  
Lake Urmia ◽  
Static Data ◽  
Bridge Structures ◽  
Radar Imagery ◽  
Satellite Radar ◽  
Elevation Model ◽  
Thermal Dilation ◽  
Satellite Radar Imagery

In this study we investigate stability of Lake Urmia bridge, locally also known as Shahid Kalantari’s highway bridge, in northwest of Iran using high-resolution satellite radar imagery. The radar dataset includes 22 SAR images acquired in SpotLight mode from 2014 to 2015 in an ascending orbit by TerraSAR-X satellite. A high-resolution Digital Elevation Model (DEM) of the area was constructed from a pair of TanDEM-X bi-static data on June 2012 to remove the effect of topography from interferometry observations. The analysis of X-band interferograms shows high number of displacement fringes, which are interpreted as being caused by thermal dilation due to temperature differences in the imaged area between two SAR acquisitions. This effect, which can often be observed in single interferograms, have important impact on time-series products and should be considered for deformation analysis of bridge structures.

Satellite radar imagery for monitoring inland wetlands in boreal and sub-arctic environments

2007 ◽  
Vol 17 (3) ◽  
pp. 305-317 ◽  
Author(s):  
Annett Bartsch ◽  
Richard A. Kidd ◽  
Carsten Pathe ◽  
Klaus Scipal ◽  
Wolfgang Wagner
Keyword(s):  
Inland Wetlands ◽  
Radar Imagery ◽  
Satellite Radar ◽  
Satellite Radar Imagery

scholarly journals Persistent Scatterer Interferometry of Sentinel-1 time series to detect ground subsidence in the city of Recife, Brazil

2020 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
Enton Bedini
Keyword(s):  
Time Series ◽  
Ground Subsidence ◽  
Persistent Scatterer Interferometry ◽  
Persistent Scatterer ◽  
Radar Imagery ◽  
Long Time ◽  
Satellite Radar ◽  
Surrounding Areas ◽  
Satellite Radar Imagery ◽  
The City

Persistent Scatterer Interferometry (PSI) analysis of Sentinel-1 time series was carried out to detect ground subsidence in the city of Recife, Brazil. The dataset consisted of sixty-eight Sentinel-1A Interferometric Wide (IW) Single Look Complex (SLC) images of the time period April 2017 – September 2019. The images were acquired in descending orbit in VV (vertical transmitting, vertical receiving) polarization. The results of the PSI analysis show that in the city of Recife occur several ground subsidence areas. The largest ground subsidence area occurs between the neighborhoods of Afogados, Torrŏes and Cordeiro. The subsidence rates in this area range from few mm/year up to -15 mm/year. This ground subsidence could be a result of groundwater extraction or of subsidence processes in urbanized reclaimed lands. Similar but smaller ground subsidence areas occur in several localities in Recife. In some cases, subsidence with rates of up to -25 mm/year is noted in small zones where new buildings have been constructed in the last decade. This should be due to ground settlement processes, taking a long time due to the particular soils and geology of the locality. This study can serve as a first contribution for further research on the ground subsidence hazard in the city of Recife and the surrounding areas by means of satellite radar imagery.

Some problems of landslide monitoring using satellite radar imagery with different wavelengths: Case study of two landslides in the region of Greater Sochi

2014 ◽  
Vol 50 (4) ◽  
pp. 576-587 ◽  
Author(s):  
V. O. Mikhailov ◽  
E. A. Kiseleva ◽  
E. I. Smol’yaninova ◽  
P. N. Dmitriev ◽  
V. I. Golubev ◽  
...  
Keyword(s):  
Landslide Monitoring ◽  
Radar Imagery ◽  
Satellite Radar ◽  
Satellite Radar Imagery

scholarly journals Flood depth estimation by means of high-resolution SAR images and LiDAR data

2018 ◽  
Author(s):  
Fabio Cian ◽  
Mattia Marconcini ◽  
Pietro Ceccato ◽  
Carlo Giupponi
Keyword(s):  
High Resolution ◽  
Urban Areas ◽  
Depth Estimation ◽  
Flood Depth ◽  
Inundation Depth ◽  
Detection Approach ◽  
Digital Elevation ◽  
Radar Imagery ◽  
Elevation Model ◽  
Terrain Elevation

Abstract. When floods hit inhabited areas, great losses are usually registered both in terms of impacts on people (i.e., fatalities and injuries) as well as economic impacts on urban areas, commercial and productive sites, infrastructures and agriculture. To properly assess these, several parameters are needed among which flood depth is one of the most important as it governs the models used to compute damages in economic terms. This paper presents a simple yet effective semi-automatic approach for deriving very precise inundation depth. First, precise flood extent is derived employing a change detection approach based on the Normalized Difference Flood Index computed from high resolution Synthetic Aperture Radar imagery. Second, by means of a high-resolution Light Detection And Ranging Digital Elevation Model, water surface elevation is estimated through a statistical analysis of terrain elevation along the boundary lines of the identified flooded areas. Experimental results and quality assessment are given for the flood occurred in the Veneto region, North-Eastern Italy, in 2010. In particular, the method proved fast and robust and, compared to hydrodynamic models, it requires sensibly less input information.

scholarly journals Outline of vertical displacement of the 2004 and 2005 Sumatra earthquakes revealed by satellite radar imagery

2006 ◽  
Vol 58 (1) ◽  
pp. e1-e4 ◽  
Author(s):  
Mikio Tobita ◽  
Hisashi Suito ◽  
Tetsuro Imakiire ◽  
Min Kato ◽  
Satoshi Fujiwara ◽  
...  
Keyword(s):  
Vertical Displacement ◽  
Radar Imagery ◽  
Satellite Radar ◽  
Satellite Radar Imagery ◽  
Sumatra Earthquakes
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