The potential of Sentinel-IA interferometric SAR data in monitoring of surface subsidence caused by overdrafting groundwater in agricultural areas

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Özet

The use of Interferometric Synthetic Aperture Radar (InSAR) data has become known as an important technique for monitoring and measuring land surface deformations caused by groundwater level fluctuations. In this study, a region from the closed Konya agricultural basin is selected to infer the spatial and temporal distributions of the ground deformations using SAR images acquired by the comparatively new satellite Sentinel-1A of the European Space Agency (ESA). With the purpose of revealing Sentinel-1A satellite sensors potential we employ 18 months of periodical data obtained of 43 SAR scenes on the ascending T87 and 45 SAR scenes on the descending T167 satellite tracks. We apply GMTSAR, an open source InSAR processing system that uses Generic Mapping Tools (GMT). InSAR time series have been calculated using the SBAS method. The preliminary results obtained indicate the efficiency of Sentinel-1A alone over a comparatively short period of time in monitoring land surface subsidence. Even though the calculations and processing were performed in presence of relatively noisy data, the results obtained are consistent and in agreement regardless of the flight direction of the satellite. The estimated deformation rate obtained from both ascending and descending tracks is about 2 (+/-1) cm/yr.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2016 5th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2016
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)9781509023509
DOI'lar
Yayın durumuYayınlandı - 26 Eyl 2016
Etkinlik5th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2016 - Tianjin, China
Süre: 18 Tem 201620 Tem 2016

Yayın serisi

Adı2016 5th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2016

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???event.eventtypes.event.conference???5th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2016
Ülke/BölgeChina
ŞehirTianjin
Periyot18/07/1620/07/16

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Publisher Copyright:
© 2016 IEEE.

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