2018
DOI: 10.1080/01431161.2018.1490977
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Estimation of land subsidence in deltaic areas through differential SAR interferometry: the Po River Delta case study (Northeast Italy)

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Cited by 32 publications
(51 citation statements)
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“…These last data clearly show the benefits gained by halting extraction. Subsequently, the rate decreased still further: recent studies (geometric levelling and GPS) have shown that land subsidence, albeit reduced, is still ongoing (Baldi et al 2009;Cenni et al 2013;Tosi et al 2016;Fiaschi et al 2018). Most of the PRD now lies below sea level: its characteristic shape, with elevated borders seawards and an immense depression in the centre, is due to the exaggerated lengthening of the deltaic branches, anthropogenic stabilization of the hydrographical network, and land subsidence (Simeoni and Corbau 2008).…”
Section: Prd and Land Subsidencementioning
confidence: 99%
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“…These last data clearly show the benefits gained by halting extraction. Subsequently, the rate decreased still further: recent studies (geometric levelling and GPS) have shown that land subsidence, albeit reduced, is still ongoing (Baldi et al 2009;Cenni et al 2013;Tosi et al 2016;Fiaschi et al 2018). Most of the PRD now lies below sea level: its characteristic shape, with elevated borders seawards and an immense depression in the centre, is due to the exaggerated lengthening of the deltaic branches, anthropogenic stabilization of the hydrographical network, and land subsidence (Simeoni and Corbau 2008).…”
Section: Prd and Land Subsidencementioning
confidence: 99%
“…Multi-temporal trend of emerged surfaces in coastal area of PRD was connect also with land subsidence rates values available for the last 25 years; Fiaschi et al (2018) have used SAR methodology to obtain land subsidence rates of the area: they have Their results, validated using ground-based data (levelling and CGPS), provides land subsidence rates in the coastal area in the order of 1 cm along the line of sight (LOS) of satellites. In the last analysed period (2014-2017), using Sentinel-1A images, the obtained results, along the LOS of satellite, are shown in Figure 6 (data and results were adequately discussed by Fiaschi et al 2018). The average land subsidence velocities of the resulting A-DInSAR points along the coastline for the three datasets (ERS-1/2, ENVISAT and Sentinel 1-A), together with the emerged surfaces of the six sub-areas with complete data from 1992 to 2014 (due to continuity of data in the 1999 photogrammetric survey, Figure 2) are shown in Figure 7.…”
Section: Surface Balance and Accuracymentioning
confidence: 99%
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“…If close-range geomatics techniques are useful for the survey and investigation of civil engineering constructions, such as buildings, bridges and water towers [1], satellite remote sensing is traditionally suitable to support studies on geographic areas, e.g., urban growth effects [2,3], glacier inventory [4,5], desertification [6,7], grassland monitoring [8,9], burned area detection [10,11], seismic damage assessment [12,13], land deformations monitoring aims-landslides [14], land subsidence [15], coastal changes [16], etc. However, a detailed investigation of the Earth's surface and land cover can be performed using Very High Resolution (VHR) satellite images, characterised by pixel dimension of panchromatic (PAN) data equal or less than 1 m. Generally, VHR sensors carried on a satellite can capture also multispectral (MS) images that have a lower resolution than PAN [17,18].…”
Section: Introductionmentioning
confidence: 99%