MONITORING THE SLOWLY DEVELOPING LANDSLIDE WITH THE INSAR TECHNIQUE IN SAMSUN PROVINCE, NORTHERN TURKEY

Landslides are prominent natural events with high destructive power. Since they affect large areas, it is important to monitor the areas they cover and analyse their movement. Remote sensing data and image processing techniques have been used to monitor landslides in different areas. Synthetic aperture radar (SAR) data, particularly with the Interferometric SAR (InSAR) method, is used to determine the velocity vector of the surface motion. This study aims to detect the landslide movements in Samsun, located in the north of Turkey, using persistent scattering InSAR method. Archived Copernicus Sentinel-1 satellite images taken between 2017 and 2022 were used in both descending and ascending directions. The results revealed surface movements in the direction of the line of sight, ranging between −6 and 6 mm/year in the study area. Persistent Scatterer (PS) points were identified mainly in human structures such as roads, coasts, ports, and golf courses, especially in settlements. While some regions exhibited similar movements in both descending and ascending results, opposite movements were observed in some regions. The results produced in both descending and ascending directions were used together and decomposed into horizontal and vertical deformation components. It was observed that the western coastal part experienced approximately 4.5 cm/year vertical deformation, while the central part there is more significant horizontal deformation, reaching up to approximately 6 cm/year

Anthropogenic problems threatening major cities: Largest surface deformations observed in Hatay, Türkiye based on SBAS-InSAR

The surface deformation caused by tectonic activities and anthropogenic factors poses a great threat to cities worldwide. The investigation and monitoring of these deformations are crucial in order to create risk analysis for the future. The problem in this case is to investigate the surface deformations and their negative effects caused by groundwater use and to identify possible landslide areas. In this study, the surface deformations in Hatay province were analyzed using SBAS-InSAR. The results from these analyses were evaluated by field observations. Sentinel-1 descending (183 datasets) and ascending (147 datasets) track geometries were selected to determine the surface deformation and its temporal evolution. Both east-west and vertical surface deformations were calculated, and the surface deformation profiles, surface 3D models and time series were created. These time series were associated with monthly precipitation data. The deformation area was interpreted with regard to available well-log data and geological setting of the study area. As a result of the study, a surface deformation resembling a bowl like structure was observed in the industrial zone located in the city center of Hatay-Güzelburç. The deformation rates are approximately 22.3 cm/year in the form of subsidence, 3.6 cm/year in the form of eastern movement and 10.1 cm/year in the form of western movement. The deformation of this bowllike structure decelerated in the winter and accelerated in the summer due to excessive water use. The average monthly precipitation dataset supports these results. The stratigraphic data from water wells and the presence of limestone outside the eastern boundary of the deformation area show a thick clay layer in the eastern block of the bowl-shaped deformation structure. The difference between these two units, which causes a sharp anomaly at the eastern border of the deformation area, is interpreted as a probable normal fault. The second study area where surface deformations are observed is the landslide zone. The deformation was found to be 7.5 cm/year in a westward direction and 1.5 cm/year as subsidence

InSAR-based mapping of ground deformation caused by industrial waste disposals: the case study of the Huelva phosphogypsum stack, SW Spain

Close to the city of Huelva, SW Spain, and near the Atlantic Ocean, there is a phosphogypsum (PG) stack that accumulates 100 Mt of wastes and extends over 1000 ha. The stack lies directly over estuarine unconsolidated sediments with no protective layer in between. Here, we evaluate for the first time the structural stability of the PG stack, monitoring the deformation suffered by the salt-marsh basement. Through the web-based Geohazard Exploitation Platform (GEP) of the European Space Agency (ESA), a specific differential SAR interferometry (DInSAR) algorithm known as arallel Small Baseline Subset (P-SBAS) has been used to process 279 ESA Sentinel-1 images acquired between October 2016 and June 2021. Resulting displacement maps and time-series curves reveal vertical displacements of up to 16 cm/year. This vertical motion has been associated to subsidence. In parallel with subsidence, horizontal movements > 2.5 cm/year have been also accounted and linked to talus destabilization. The analysis also demonstrates that the Huelva PG stack is vulnerable to adverse weather condition. The present study demonstrates that the InSAR-based methods are effective tools for monitoring the stability and ground motion of large waste stockpiles.This work was financed by the ESA thorough a project covered by the NOR Sponsorship Program. The project (ID: Felipe González) was intended to use the Geohazards TEP service (https:// geoha zards- tep. eu/#!) for the analysis of the subsidence of SW Spain. Special thanks are extended to Hervé Caumont (Terradue Programme Manager) who patiently provided technical support during all the analysis. The original manuscript was significantly improved thanks to the valuable suggestions and comments of two anonymous reviewers. Aerial photograph in Figure 1 was provided by the Mesa de la Ría Association. Funding for open access charge: Universidad de Huelva / CBUA

Multi-Temporal SAR Interferometry for Vertical Displacement Monitoring from Space of Tengiz Oil Reservoir Using SENTINEL-1 and COSMO-SKYMED Satellite Missions

This study focused on the quantitative assessment of the vertical displacement velocities retrieved using Sentinel-1 and Cosmo-SkyMed synthetic aperture radar images for the Tengiz oilfield. Tengiz oilfield was selected as a study area because of its historically reported continuous subsidence and limited up-to-date studies during recent years. The small baseline subset time-series technique was used for the interferometric processing of radar images acquired for the period of 2018–2020. The geospatial and statistical analyses allowed to determine the existing hotspots of the subsidence processes induced by oil extraction in the study area. Ground deformation measurements derived from the Sentinel-1 and COSMO-SkyMed satellite missions showed that the Tengiz oilfield continuously subsided during 2018–2020 with the maximum annual vertical displacement velocity around −77.4 mm/y and −71.5 mm/y, respectively. The vertical displacement velocities derived from the Sentinel-1 and the COSMO-SkyMed images showed a good statistical relationship with R 2≥0.73 and RMSE ≤3.68 mm. The cumulative vertical displacement derived from both satellites for the most subsiding location also showed a good statistical relationship with R 2 equal to 0.97 and RMSE = ± 4.69. The observed relative differences of measurements by both satellites were acceptable to determine the ongoing vertical surface displacement processes in the study area. These studies demonstrated a practical novelty for the petroleum industry in terms of the comparative assessment of surface displacement measurements using time-series of medium-resolution Sentinel-1 and high-resolution COSMO-SkyMed radar images

Space-Based Displacement Monitoring of Coastal Urban Areas: The Case of Limassol’s Coastal Front

In the last five years, the urban development of the city of Limassol has rapidly increased in the sectors of industry, trade, real estate, and many others. This exponentially increased urban development arises several concerns about the aggravation of potential land subsidence in the Limassol coastal front. Forty six Copernicus Sentinel-1 acquisitions from 2017 to 2021 have been processed and analyzed using the Sentinel Application Platform (SNAP) and the Stanford Method for Persistent Scatterers (StaMPS). A case study for the identification and analysis of the persistent scatterers (PS) in pixels in a series of interferograms and the quantity of the land displacements in the line of sight of the Limassol coastal front is presented in this research, with subsidence rates up to about (−5 to 4 mm/year). For the validation of the detected deformation, accurate ground-based geodetic measurements along the coastal area were used. Concordantly, considering that there is a significant number of skyscrapers planned or currently under construction, this study attempts a preliminary assessment of the impact these structures will pose on the coastal front of the area of Limasso

A clustering approach for the analysis of InSAR Time Series: application to the Bandung Basin (Indonesia)

Interferometric Synthetic Aperture (InSAR) time series measurements are widely used to monitor a variety of processes including subsidence, landslides, and volcanic activity. However, interpreting large InSAR datasets can be difficult due to the volume of data generated, requiring sophisticated signal-processing techniques to extract meaningful information. We propose a novel framework for interpreting the large number of ground displacement measurements derived from InSAR time series techniques using a three-step process: (1) dimensionality reduction of the displacement time series from an InSAR data stack; (2) clustering of the reduced dataset; and (3) detecting and quantifying accelerations and decelerations of deforming areas using a change detection method. The displacement rates, spatial variation, and the spatio-temporal nature of displacement accelerations and decelerations are used to investigate the physical behaviour of the deforming ground by linking the timing and location of changes in displacement rates to potential causal and triggering factors. We tested the method over the Bandung Basin in Indonesia using Sentinel-1 data processed with the small baseline subset InSAR time series technique. The results showed widespread subsidence in the central basin with rates up to 18.7 cm/yr. We identified 12 main clusters of subsidence, of which three covering a total area of 22 km2 show accelerating subsidence, four clusters over 52 km2 show a linear trend, and five show decelerating subsidence over an area of 22 km2. This approach provides an objective way to monitor and interpret ground movements, and is a valuable tool for understanding the physical behaviour of large deforming areas

Land Surface Monitoring Based on Satellite Imagery

This book focuses attention on significant novel approaches developed to monitor land surface by exploiting satellite data in the infrared and visible ranges. Unlike in situ measurements, satellite data provide global coverage and higher temporal resolution, with very accurate retrievals of land parameters. This is fundamental in the study of climate change and global warming. The authors offer an overview of different methodologies to retrieve land surface parameters— evapotranspiration, emissivity contrast and water deficit indices, land subsidence, leaf area index, vegetation height, and crop coefficient—all of which play a significant role in the study of land cover, land use, monitoring of vegetation and soil water stress, as well as early warning and detection of forest fires and drought

Assessment of groundwater exploitation and land subsidence development in the Toluca aquifer system, Mexico

EbookRegional land subsidence accompanying groundwater abstraction in the Toluca aquifer-system is a challenge for managing groundwater resources and mitigating associated hazards. In order to improve this situation, groundwater management scenarios for the Toluca Valley are examined with a three dimensional groundwater flow model coupled to a one dimensional compaction module. Subsequently, the land subsidence evolution was investigated by integrating SAR interferometry and geological and hydrogeological data to shed insight on the underlying processes governing subsidence. The results indicate that continuing at current rates of water consumption will lead to subsidence of more than 1.6 m over a 40 year period (2010–2050). Completely stopping exports to Mexico City is not the most important factor in controlling subsidence because the pumping system is mostly located in regions with low clay content, where subsidence is lower. However, decreasing exports by half and relocating the pumping centres to low-clay-content areas does have a positive effect on the overall water budget and subsidence. From 2003 to 2016, groundwater level declines of up to 1.6 m/yr, land subsidence up to 77 mm/yr, and major infrastructure damages are observed. Groundwater level data show highly variable seasonal responses according to their connectivity to recharge areas. However, the trend of groundwater levels consistently range from −0.5 to −1.5 m/yr regardless of the well location and depth. By analysing the horizontal gradients of vertical land subsidence, we provide a potential ground fracture map to assist in future urban development planning in the Toluca Valley. The approach taken in this study could be applied to their locations with similar problems in order to determine the most viable option for water supply.CONACyT, Institute for Groundwater Research, University of Guelph UAE

Prothego : WP2 : harmonisation of PS data, and creation of digital factsheets : deliverable : D.02.01 : available satellite InSAR data for the European WHL sites

PROTHEGO (PROTection of European Cultural HEritage from GeO-hazards) is a collaborative research project funded in 2015–2018 in the framework of the Joint Programming Initiative on Cultural Heritage and Global Change (JPI-CH) – Heritage Plus. The project aims to make an innovative contribution towards the analysis of geohazards in areas of cultural heritage, and uses novel space technology based on Interferometric Synthetic Aperture Radar (InSAR) to retrieve information on ground stability and motion in the UNESCO World Heritage List (WHL) monuments and sites of Europe. This report introduces PROTHEGO’s Work Package (WP) 2: Harmonisation of available PS data, and creation of digital factsheets, led by the Natural Environment Research Council (NERC) – British Geological Survey (BGS) and aimed to define, catalogue and assess the availability of satellite-derived ground motion information from multi-temporal InSAR and Persistent Scatterers (PS) techniques for the UNESCO WHL sites of Europe. WP2 consists of two main tasks: 2.1 – Analysis of satellite InSAR and PS datasets available at European scale; and 2.2 – Harmonisation of InSAR and PS ground motion information and creation of digital factsheets. Their goal is to generate a GIS catalogue of the available satellite InSAR data for the UNESCO WHL sites of Europe, and digital factsheets summarising the observed ground motion velocities and deformation histories of the PS reflectors within each WHL site, alongside two technical reports. This is the first report describing the methodology adopted for, and results obtained from, the analysis of the availability of ground motion information for the WHL sites of Europe (i.e. Task 2.1). This information is based on InSAR processing of satellite radar imagery that was carried out in the framework of ongoing or recent European, national and/or research projects (such as ESA-GMES Terrafirma, and the Italian Extraordinary Plan of Environmental Remote Sensing EPRS-E), as well as those available through published literature (e.g., scientific papers, project reports). Information on data availability for the WHL sites was recorded in an ad hoc catalogue, together with metadata on the retrieved ground stability and motion datasets (e.g., data source, satellite and sensor, monitoring period, acquisition mode). The analysis allowed the delineation of a general overview of the coverage of InSAR datasets for the UNESCO sites at European scale, as well as the identification of data coverage gaps. The results reveal that, as of the end of 2016, 147 sites (i.e. 37% of the analysed 399 sites of PROTHEGO) are covered by existing datasets and/or published literature, whereas there is a data coverage gap for 252 sites (i.e. 63%). Therefore InSAR information can or may be accessible to study geohazards in more than one-third of the total European UNESCO sites. It is to be noted, however, that in addition to the datasets and literature found so far, many other unpublished studies may exist, as well as other digital datasets that could be made available to PROTHEGO via other projects, suggesting that even more sites than the 37% figure provided in this report may be already covered