The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Jun 2016)

MONITORING OF LAND SUBSIDENCE IN RAVENNA MUNICIPALITY USING INTEGRATED SAR - GPS TECHNIQUES: DESCRIPTION AND FIRST RESULTS

  • G. Artese,
  • S. Fiaschi,
  • D. Di Martire,
  • S. Tessitore,
  • M. Fabris,
  • V. Achilli,
  • A. Ahmed,
  • S. Borgstrom,
  • D. Calcaterra,
  • M. Ramondini,
  • S. Artese,
  • M. Floris,
  • A. Menin,
  • M. Monego,
  • V. Siniscalchi

DOI
https://doi.org/10.5194/isprs-archives-XLI-B7-23-2016
Journal volume & issue
Vol. XLI-B7
pp. 23 – 28

Abstract

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The Emilia Romagna Region (N-E Italy) and in particular the Adriatic Sea coastline of Ravenna, is affected by a noticeable subsidence that started in the 1950s, when the exploitation of on and off-shore methane reservoirs began, along with the pumping of groundwater for industrial uses. In such area the current subsidence rate, even if lower than in the past, reaches the -2 cm/y. Over the years, local Authorities have monitored this phenomenon with different techniques: spirit levelling, GPS surveys and, more recently, Differential Interferometric Synthetic Aperture Radar (DInSAR) techniques, confirming the critical situation of land subsidence risk. In this work, we present the comparison between the results obtained with DInSAR and GPS techniques applied to the study of the land subsidence in the Ravenna territory. With regard to the DInSAR, the Small Baseline Subset (SBAS) and the Coherent Pixel Technique (CPT) techniques have been used. Different SAR datasets have been exploited: ERS-1/2, ENVISAT, TerraSAR-X and Sentinel-1. Some GPS campaigns have been also carried out in a subsidence prone area. 3D vertices have been selected very close to existing persistent scatterers in order to link the GPS measurement results to the SAR ones. GPS data were processed into the International reference system and the comparisons between the coordinates, for the first 6 months of the monitoring, provided results with the same trend of the DInSAR data, even if inside the precision of the method.