High-Resolution Topography as an Indicator of Malaria Risk: A Remote Sensing Approach with 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.

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

Aquatic Conservation Marine and Freshwater Ecosystems ◽

10.1002/aqc.836 ◽

2007 ◽

Vol 17 (3) ◽

pp. 305-317 ◽

Cited By ~ 20

Author(s):

Annett Bartsch ◽

Richard A. Kidd ◽

Carsten Pathe ◽

Klaus Scipal ◽

Wolfgang Wagner

Keyword(s):

Inland Wetlands ◽

Radar Imagery ◽

Satellite Radar ◽

Satellite Radar Imagery

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

Journal of Hyperspectral Remote Sensing ◽

10.29150/jhrs.v10.1.p1-9 ◽

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.

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