Analysis of surface deformations over the whole Italian territory by interferometric processing of ERS, Envisat and COSMO-SkyMed radar data

Costantini, E.; Ferretti, A.; Minati, Federico; Falco, Salvatore Di; Trillo, Francesco; Colombo, Davide; Novali, F.; Malvarosa, F.; Mammone, Claudio; Vecchioli, Francesco; Rucci, A.; Fumagalli, Alfio; Allievi, J.; Ciminelli, Maria Grazia; Costabile, Salvatore

doi:10.1016/j.rse.2017.07.017

Cited by 150 publications

(97 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To quantitatively evaluate the accuracy of the InSAR-derived results, relative and absolute accuracy methods are adopted [51][52][53]. The former is also called inner precision, which is defined as the velocity difference in the overlapping areas of adjacent tracks, while the absolute accuracy is defined as the consistency with in situ measurements.…”

Section: Validation Of Insar Resultsmentioning

confidence: 99%

Understanding Land Subsidence Along the Coastal Areas of Guangdong, China, by Analyzing Multi-Track MTInSAR Data

Feng

Liu

et al. 2020

Remote Sensing

View full text Add to dashboard Cite

Coastal areas are usually densely populated, economically developed, ecologically dense, and subject to a phenomenon that is becoming increasingly serious, land subsidence. Land subsidence can accelerate the increase in relative sea level, lead to a series of potential hazards, and threaten the stability of the ecological environment and human lives. In this paper, we adopted two commonly used multi-temporal interferometric synthetic aperture radar (MTInSAR) techniques, Small baseline subset (SBAS) and Temporarily coherent point (TCP) InSAR, to monitor the land subsidence along the entire coastline of Guangdong Province. The long-wavelength L-band ALOS/PALSAR-1 dataset collected from 2007 to 2011 is used to generate the average deformation velocity and deformation time series. Linear subsidence rates over 150 mm/yr are observed in the Chaoshan Plain. The spatiotemporal characteristics are analyzed and then compared with land use and geology to infer potential causes of the land subsidence. The results show that (1) subsidence with notable rates (>20 mm/yr) mainly occurs in areas of aquaculture, followed by urban, agricultural, and forest areas, with percentages of 40.8%, 37.1%, 21.5%, and 0.6%, respectively; (2) subsidence is mainly concentrated in the compressible Holocene deposits, and clearly associated with the thickness of the deposits; and (3) groundwater exploitation for aquaculture and agricultural use outside city areas is probably the main cause of subsidence along these coastal areas.

show abstract

Section: Validation Of Insar Resultsmentioning

confidence: 99%

Understanding Land Subsidence Along the Coastal Areas of Guangdong, China, by Analyzing Multi-Track MTInSAR Data

Feng

Liu

et al. 2020

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…Detecting ground deformation using multi temporal satellite interferometric radar techniques (InSAR) has been established as nationwide services in Italy and Norway [25] [26]. The services provide ground motion detection and monitoring on a wide area for slow-moving landslides based on Persistent Scatterer Interferometry (PSI) or small baseline subset techniques (SBAS) [27].…”

Section: Insarmentioning

confidence: 99%

Innovative methods to monitor rock and mountain slope deformation

Hormes

Adams

Amabile

et al. 2020

Geomechanics and Tunnelling

View full text Add to dashboard Cite

Displacement rates of mountain slope deformations that can affect entire valley mountain flanks are often measured spatially distributed in‐situ without spatial significance. The spatially explicit measurement and recording of time series of slope deformations is a challenge, as the unstable slopes are often disintegrated into several subdomains, which move with different deformation rates. The current state‐of‐the‐art monitoring systems detect slow to very slow deformation rates between mm/a and several m/a. Using the examples of slope deformations in Saalbach‐Hinterglemm and the deep rock slide Marzellkamm in Austria this paper presents the results of terrestrial laser scans, extensometer measurements, Spaceborne InSAR data, unmanned Aerial System Photogrammetry (UAS‐P), and fixed‐point measurements. The different measurements complement each other and are optimally aligned for different application areas. InSAR data can help to identify hot spots on regional and local scale, while UAS‐P enables for spatially high level accuracy in the detection of subdomains moving at different speeds. For local warning systems TLS, extensometers and GBInSAR deliver higher accuracy.

show abstract

“…Several methods can be used to study ground deformations such as global positioning systems (GPS or later GNSSglobal navigation satellite system), both continuous (CGPS) and differential (DGPS) (Bitelli et al 2000;Baldi et al 2009;Cenni et al 2013), space-borne observation techniques based on synthetic aperture radar (SAR), interferometry (InSAR, with differential InSAR -DInSAR and advanced differential A-DInSAR that allow to maximize the potential of this technique and permit time series analysis) (Bock et al 2012;Teatini et al 2012;Costantini et al 2017;Fiaschi et al 2018), satellite images (acquired with various kinds of sensors, with mono and/ or stereo ground coverage), classical topographic measurements and repeated geometric levelling on benchmarks (Barbarella et al 1990;Bondesan et al 1997;Fabris et al 2014;Hung et al 2018), light detection and ranging (LiDAR) with airborne laser scanning (ALS) approach (Fabris et al 2010;Marsella et al 2012) and aerial digital photogrammetry (Baldi et al 2005;Fabris and Pesci 2005;Baldi et al 2008aBaldi et al , 2008b. For limited areas, also unmanned aerial vehicle (UAV) (Mancini et al 2013) and terrestrial laser scanning (TLS) (Pesci et al 2007(Pesci et al , 2013 systems can successfully be used.…”

Section: Introductionmentioning

confidence: 99%

Coastline evolution of the Po River Delta (Italy) by archival multi-temporal digital photogrammetry

Fabris

2019

Geomatics, Natural Hazards and Risk

View full text Add to dashboard Cite

Ground deformation areas can be monitored with geomatic methodologies which provide high-precision and high-resolution data. One example is digital aerial photogrammetry, which can be used to reconstruct ground deformations over long periods (80-90 years) with multi-temporal surveys. This technique was used to survey the planimetric deformations of the Po River Delta (PRD), characterized in the past by considerable land subsidence due to intensive pumping of methane water from 1938 to 1961. In the last few decades, land subsidence has been greatly reduced, but is still high compared with natural values, and has influenced the coastline of areas not protected by embankments. In this work, multi-temporal digital photogrammetry was used to study the evolution of the PRD coastline from 1944 to 2014 in the course of seven photogrammetric surveys (1944, 1955, 1962, 1977, 1999, 2008 and 2014). Results of the multi-temporal analysis were correlated with available subsidence rates (from levelling, for the past, and from synthetic aperture radar, for the period 1992-2017): this study show agreement between land subsidence and areas submerged by the sea, although they are also greatly influenced by human activities and sea level rise which increasingly exposing the area to the risk of widespread flooding. ARTICLE HISTORY

show abstract

Analysis of surface deformations over the whole Italian territory by interferometric processing of ERS, Envisat and COSMO-SkyMed radar data

Cited by 150 publications

References 37 publications

Understanding Land Subsidence Along the Coastal Areas of Guangdong, China, by Analyzing Multi-Track MTInSAR Data

Understanding Land Subsidence Along the Coastal Areas of Guangdong, China, by Analyzing Multi-Track MTInSAR Data

Innovative methods to monitor rock and mountain slope deformation

Coastline evolution of the Po River Delta (Italy) by archival multi-temporal digital photogrammetry

Contact Info

Product

Resources

About