Abstract
Satellite interferometric data are widely exploited for ground motion monitoring thanks to their wide area coverage, cost efficiency and non-invasiveness. The launch of the Sentinel-1 constellation opened new horizons for interferometric applications, allowing the scientists to rethink the way in which these data are delivered, passing from a static view of the territory to a continuous streaming of ground motion measurements from space. Tuscany Region is the first worldwide example of a regional scale monitoring system based on satellite interferometric data. The processing chain here exploited combines a multi-interferometric approach with a time-series data mining algorithm aimed at recognizing benchmarks with significant trend variations. The system is capable of detecting the temporal changes of a wide variety of phenomena such as slow-moving landslides and subsidence, producing a high amount of data to be interpreted in a short time. Bulletins and reports are derived to the hydrogeological risk management actors at regional scale. The final output of the project is a list of potentially hazardous and accelerating phenomena that are verified on site by field campaign by completing a sheet survey in order to qualitatively estimate the risk and to suggest short-term actions to be taken by local entities. Two case studies, one related to landslides and one to subsidence, are proposed to highlight the potential of the monitoring system to early detect anomalous ground changes. Both examples represent a successful implementation of satellite interferometric data as monitoring and risk management tools, raising the awareness of local and regional authorities to geohazards.
Highlights
In the last decades, rapid urbanization, global climate change and uncontrolled anthropogenic transformation of the territory caused a relevant increase in geo-hazards with huge economic and social consequences [1]
The deformation maps derived from the SqueeSAR processing of Sentinel-1 images cover the entire region and the two major islands (Elba and Giglio) and are composed of approximately 734,000 Measurement Points (MP) for each orbit (Figure 6b)
The availability of Sentinel-1 radar images every six days has considerably improved the possibility of continuously monitoring wide areas with low costs and high precision
Summary
Rapid urbanization, global climate change and uncontrolled anthropogenic transformation of the territory caused a relevant increase in geo-hazards with huge economic and social consequences [1]. The rapid technological evolution of InSAR algorithms and radar satellite sensors has allowed detecting and monitoring several ground deformation phenomena of different nature with high precision [10,11]. Natural phenomena at regional scale can be systematically monitored with Sentinel-1 data by means of large amount of information and high consistency of data This works takes advantage of regularly updated deformation maps derived from Sentinel-1 data to promptly detect anomalies of deformation, highlighted by an automatic data-mining algorithm firstly presented by Raspini, et al [53]. MeTtuhsocdanoylowgyas chosen for its geomorphological heterogeneity that permits to test the procedure on 1Tdmooapup1uvriirrpmiffg7ooesn,acerdda0eieanrnT0uudxenmig0hcccnpateteoltlatlseosaanngrhpinyaartiedirtiadergootodetrohsghpirseolrlied,aiofinyndoog[zesg5,ret(hearh2g4msidrtsv0]eeidya)nae3ora.srstmgd5tpietShdoepskiaebkenmxirmlrgtyntomemyano2acbcci)acwntafatoalhiiipisscmvnbnaeariaocledbetnaetfffiliinpteivbnetoesdtehciyinrs)trnteeycmesaognreAdaffanedantntgrebpethtevdcuhlypoealtaleiiuefagrtnoSderirt6rgafqhblo,-yrtIduaeuei2dnoneam2dnmitnieyffe%dezSosurelarAeits[rnetoves5uiepRiofet3ncsbernt](ietseahpA.a)nidteIldeaoasognnmleirbIodinvbn)tinreigilrcaiieriafnitetrosoethtye,uefnrwomr,cmrocmefehahoflaTaln[aientcc5tuftnhiisahhe6qsoteicd]cusdnuttaS.hoewetpneaoersrAdnisyent(iaadtchdde(initpcn.neegatora"cnehce.oarl,ltrtsdudn-fiiole1fvaidotaipnnhneetcmecogaedo.demganmsAtm“eololsaianifoertidpneoniRscnceopl”uoiilomsnat(emns,odmgtdaidisrpu,louiaolprneena9pubertgn%tssssotoads.oiscpdiloyswTebo.belfsdilhi[unanetd5tueettihc5eoeslmsrede]s”eerr,, and 28% are affected by both landslides and subsidence These data show the need of a wide area monitoring service able to measure at least part of these phenomena in an effective way
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