scholarly journals Land Subsidence in Coastal Environments: Knowledge Advance in the Venice Coastland by TerraSAR-X PSI

2018 ◽  
Vol 10 (8) ◽  
pp. 1191 ◽  
Author(s):  
Luigi Tosi ◽  
Cristina Lio ◽  
Pietro Teatini ◽  
Tazio Strozzi
Keyword(s):  
Land Subsidence ◽  
Salt Marshes ◽  
Venice Lagoon ◽  
Time Interval ◽  
Persistent Scatterer Interferometry ◽  
Ground Movements ◽  
Driving Mechanisms ◽  
Very High Spatial Resolution ◽  
Under Construction ◽  
German Aerospace

The use of satellite SAR interferometric methods has significantly improved the monitoring of ground movements over the last decades, thus opening new possibilities for a more accurate interpretation of land subsidence and its driving mechanisms. TerraSAR-X has been extensively used to study land subsidence in the Venice Lagoon, Italy, with the aim of quantifying the natural and anthropogenic causes. In this paper, we review and update the main results achieved by three research projects supported by DLR AOs (German Aerospace Center Announcement of Opportunity) and conducted to test the capability of TerraSAR-X PSI (Persistent Scatterer Interferometry) to detect ground movements in the complex physiographic setting of the Venice transitional coastal environment. The investigations have been focused on the historical center of Venice, the lagoon inlets where the MoSE is under construction, salt marshes, and newly built-up areas in the littoral. PSI on stacks of stripmap TerraSAR-X images covering short- to long-time periods (i.e., the years 2008–2009, 2008–2011 and 2008–2013) has proven particularly effective to measure land subsidence in the Venice coastland. The very high spatial resolution (3 m) and the short repeat time interval (11 days) of the TerraSAR-X acquisitions make it possible to investigate ground movements with a detail unavailable in the past. The interferometric products, properly calibrated, allowed for a millimetric vertical accuracy of the land movements at both the regional and local scales, even for short-term analyses, i.e., spanning one year only. The new picture of the land movement resulted from processing TerraSAR-X images has significantly contributed to update the knowledge on the subsidence process at the Venice coast.

scholarly journals Regional and local land subsidence at the Venice coastland by TerraSAR-X PSI

2015 ◽  
Vol 372 ◽  
pp. 199-205 ◽  
Author(s):  
L. Tosi ◽  
T. Strozzi ◽  
C. Da Lio ◽  
P. Teatini
Keyword(s):  
Land Subsidence ◽  
Regional Scale ◽  
Image Resolution ◽  
Persistent Scatterer Interferometry ◽  
Large Structures ◽  
Persistent Scatterer ◽  
X Band ◽  
High Image Resolution ◽  
Under Construction ◽  
The City

Abstract. Land subsidence occurred at the Venice coastland over the 2008–2011 period has been investigated by Persistent Scatterer Interferometry (PSI) using a stack of 90 TerraSAR-X stripmap images with a 3 m resolution and a 11-day revisiting time. The regular X-band SAR acquisitions over more than three years coupled with the very-high image resolution has significantly improved the monitoring of ground displacements at regional and local scales, e.g., the entire lagoon, especially the historical palaces, the MoSE large structures under construction at the lagoon inlets to disconnect the lagoon from the Adriatic Sea during high tides, and single small structures scattered within the lagoon environments. Our results show that subsidence is characterized by a certain variability at the regional scale with superimposed important local displacements. The movements range from a gentle uplift to subsidence rates of up to 35 mm yr−1. For instance, settlements of 30–35 mm yr−1 have been detected at the three lagoon inlets in correspondence of the MoSE works, and local sinking bowls up to 10 mm yr−1 connected with the construction of new large buildings or restoration works have been measured in the Venice and Chioggia historical centers. Focusing on the city of Venice, the mean subsidence of 1.1 ± 1.0 mm yr−1 confirms the general stability of the historical center.

Understanding land subsidence in salt marshes of the Venice Lagoon from SAR Interferometry and ground-based investigations

2018 ◽  
Vol 205 ◽  
pp. 56-70 ◽  
Author(s):  
Cristina Da Lio ◽  
Pietro Teatini ◽  
Tazio Strozzi ◽  
Luigi Tosi
Keyword(s):  
Land Subsidence ◽  
Salt Marshes ◽  
Venice Lagoon ◽  
Sar Interferometry

scholarly journals Monitoring land subsidence in Yangon, Myanmar using Sentinel-1 persistent scatterer interferometry and assessment of driving mechanisms

2018 ◽  
Vol 217 ◽  
pp. 101-110 ◽  
Author(s):  
Teije van der Horst ◽  
Martine M. Rutten ◽  
Nick C. van de Giesen ◽  
Ramon F. Hanssen
Keyword(s):  
Land Subsidence ◽  
Persistent Scatterer Interferometry ◽  
Driving Mechanisms ◽  
Persistent Scatterer

scholarly journals Remote Sensing for Cultural Heritage Assessment and Monitoring: The Case Study of Alba Iulia

2021 ◽  
Vol 13 (3) ◽  
pp. 1406 ◽  
Author(s):  
Cristian Moise ◽  
Iulia Dana Negula ◽  
Cristina Elena Mihalache ◽  
Andi Mihai Lazar ◽  
Andreea Luminita Dedulescu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Cultural Heritage ◽  
Heritage Management ◽  
Time Interval ◽  
Urban Landscapes ◽  
Persistent Scatterer Interferometry ◽  
Heritage Site ◽  
Depth Analysis ◽  
Assessment And Monitoring ◽  
Historical Past

In recent times, satellite-based remote sensing has a growing role in archaeology and inherently in the cultural heritage management process. This paper demonstrates the potential and usefulness of satellite imagery for the documentation, mapping, monitoring, and in-depth analysis of cultural heritage and the archaeological sites located in urban landscapes. The study focuses on the assessment and monitoring of Alba Iulia, which is one of the Romanian cities with the richest historical past. Multitemporal analysis was performed to identify the land use/land cover changes that might contribute to an increased cultural heritage vulnerability to natural disasters. A special emphasis was dedicated to the assessment of the built-up area growth and consequently of the urbanization trend over a large time interval (30 years). Next, the urbanization and urban area expansion impact was further analyzed by concentrating on the urban heat island within Alba Iulia city and Alba Iulia Fortress (located in the center of the city). As temperature change represents a key element of climate change, the temperature trend within the same temporal framework and its impact on cultural heritage were determined. In the end, with regard to the cultural heritage condition assessment, the research was complemented with an assessment of the urban ground and individual building stability, using persistent scatterer interferometry. The results contribute to the detailed depiction of the cultural heritage site in such a manner that the site is monitored over an extensive timeframe, its current state of conservation is accurately determined, and the future trends can be identified. In conclusion, the present study offers reliable results regarding the main factors that might endanger the cultural heritage site as a basis for future preservation measures.

scholarly journals Coupled thermohydromechanical analysis of Venice lagoon salt marshes

2008 ◽  
Vol 44 (5) ◽  
Author(s):  
Simonetta Cola ◽  
Lorenzo Sanavia ◽  
Paolo Simonini ◽  
Bernhard A. Schrefler
Keyword(s):  
Salt Marshes ◽  
Venice Lagoon

The Risk of Coal Fires And Land Subsidence in Jharia Coalfields, India, Analysed Using Remote Sensing Techniques

2021 ◽  
Author(s):  
Vamshi Karanam ◽  
Shagun Garg ◽  
Mahdi Motagh ◽  
Kamal Jain
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
High Risk ◽  
Land Subsidence ◽  
Coal Mines ◽  
Geographical Information ◽  
Residential Areas ◽  
Persistent Scatterer Interferometry ◽  
Coal Fire ◽  
Coal Fires

<p>Coal fires, land subsidence, roof collapse, and other life-threatening risks are a predictable phenomenon for the mineworkers and the neighbourhood population in coalfields. Jharia Coalfields in India are suffered heavily from land subsidence and coal fires for over a century. In addition to the loss of precious coal reserves, this has led to severe damage to the environment, livelihood, transportation, and precious lives.</p><p>Such incidents highlight the dire need for a well-defined methodology for risk analysis for the coalfield. In this study, we regenerated a Land Use Land Cover map prepared using Indian Remote Sensing satellite imagery and ground survey. Persistent Scatterer Interferometry analysis using Sentinel -1 images was carried out to study the land subsidence phenomenon between Nov 2018 and Apr 2019. For the same study period, coal fire zones were identified with Landsat – 8 thermal band imagery. Integration of coal fire maps, subsidence velocity maps, and land use maps was further implemented in a geographical information background environment to extract the high-risk zones. These high-risk areas include residential areas, railways, and mining sites, requiring immediate attention.</p><p>The results show that the coal mines are affected by subsidence of up to 20 cm/yr and a temperature anomaly of nearly 20<sup>o</sup>C is noticed. A high-risk zone of almost 18 sq. km. was demarcated with Kusunda, Gaslitand, and West Mudidih collieries being the most critically affected zones in the Coal mines. The study demonstrates the potential to combine data from multiple satellite sensors to build a safer ecosystem around the coal mines.  </p>

scholarly journals Investigation of correlation of the variations in land subsidence (detected by continuous GPS measurements) and methodological data in the surrounding areas of Lake Urmia

2012 ◽  
Vol 19 (6) ◽  
pp. 675-683 ◽  
Author(s):  
K. Moghtased-Azar ◽  
A. Mirzaei ◽  
H. R. Nankali ◽  
F. Tavakoli
Keyword(s):  
Time Series ◽  
Land Subsidence ◽  
Salt Lake ◽  
Linear Trend ◽  
Groundwater Resources ◽  
Time Interval ◽  
Gps Measurements ◽  
Lake Urmia ◽  
North West ◽  
Continuous Gps

Abstract. Lake Urmia, a salt lake in the north-west of Iran, plays a valuable role in the environment, wildlife and economy of Iran and the region, but now faces great challenges for survival. The Lake is in immediate and great danger and is rapidly going to become barren desert. As a result, the increasing demands upon groundwater resources due to expanding metropolitan and agricultural areas are a serious challenge in the surrounding regions of Lake Urmia. The continuous GPS measurements around the lake illustrate significant subsidence rate between 2005 and 2009. The objective of this study was to detect and specify the non-linear correlation of land subsidence and temperature activities in the region from 2005 to 2009. For this purpose, the cross wavelet transform (XWT) was carried out between the two types of time series, namely vertical components of GPS measurements and daily temperature time series. The significant common patterns are illustrated in the high period bands from 180–218 days band (~6–7 months) from September 2007 to February 2009. Consequently, the satellite altimetry data confirmed that the maximum rate of linear trend of water variation in the lake from 2005 to 2009, is associated with time interval from September 2007 to February 2009. This event was detected by XWT as a critical interval to be holding the strong correlation between the land subsidence phenomena and surface temperature. Eventually the analysis can be used for modeling and prediction purposes and probably stave off the damage from subsidence phenomena.

scholarly journals PSI-based methodology to land subsidence mechanism recognition

2015 ◽  
Vol 372 ◽  
pp. 357-360 ◽  
Author(s):  
R. Bonì ◽  
C. Meisina ◽  
C. Perotti ◽  
F. Fenaroli
Keyword(s):  
Land Subsidence ◽  
Vadose Zone ◽  
Northern Italy ◽  
Clay Soils ◽  
Soil Consolidation ◽  
Persistent Scatterer Interferometry ◽  
Temporal Scales ◽  
Po Plain ◽  
Persistent Scatterer ◽  
Spatio Temporal

Abstract. A methodology based on Persistent Scatterer Interferometry (PSI) is proposed in order to disentangle the contribution of different processes that act at different spatio-temporal scales in land subsidence (i.e. vadose zone processes as swelling/shrinkage of clay soils, soil consolidation and fluid extraction). The methodology was applied in different Italian geological contexts characterized by natural and anthropic processes (i.e. a Prealpine valley and the Po Plain in northern Italy).

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