Assessing the suitability of Sentinel-1 data for landslide mapping

Abstract

Landslides are recognized as one of the most damaging natural hazards in Western Greece due to the complex geological structure, the intense precipitation and the high seismicity. In that context, the development of low-cost, semiautomatic, monitoring methodologies based on satellite data is a necessity in order to prevent and mitigate the landslide risk and decrease the damages in a future reactivation. The current study focuses on the application of three different processing methodologies on Sentinel-1 data: (a) interferogram generation, (b) comparison of interferometric Digital Surface Model (DSM) before and after the landslide event and (c) another processing technique called "offset tracking". The selection of Sentinel-1 data was based on the fact that the specific mission provides timely, freely accessible data, with satisfactory spatial resolution for repeated earth observation. The study area is located almost 20 km south of the city of Patras near to the Village Moira. The landslide with a total length of 300 m and a head width of 330 m is being investigating by repeated field campaigns and Global Navigation Satellite System measurements, and thus, the derived results from the Synthetic Aperture Radar (SAR) data processing were evaluated with the in situ measurements. ARTICLE HISTORY

Comparing DInSAR and PSI Techniques Employed to Sentinel-1 Data to Monitor Highway Stability: A Case Study of a Massive Dobkovičky Landslide, Czech Republic

“…PSI and DInSAR methods were combined in order to improve results and thus overcome the coherence limitations (citace) of each respective method in densely vegetated areas, such as theČeské Středohoří Mountains. Combining different SAR analysis approaches (e.g., DSM change detection or offset tracking) has been used in previous studies [61] in order to improve overall subsidence detection capabilities. Both DInSAR and PSI proved their usability in such a case study, however, a few specific features should be considered.…”

A Synergetic Analysis of Sentinel-1 and -2 for Mapping Historical Landslides Using Object-Oriented Random Forest in the Hyrcanian Forests

“…The performance of object-oriented random forest was verified for landslide mapping using optical images in the earlier studies [8,9,32] as well. Although the utilization of Sentinel-1 and -2A has been increasing for landslide mapping in recent studies, most of them are accomplished by the pixel-based techniques either through Sentinel-1 [1,2,[42][43][44][45]47], Sentinel-2 [3,41,49], or a combination of them [4,50].…”

“…Recently, the number of successful studies for mapping landslides through Sentinel-1 [1,2,[42][43][44][45][46][47][48] has been increasing; however, little research has addressed the application of Sentinel-2 [3,41,49], or the combination of Sentinel-1 and -2 [4,50] for this objective. Moreover, most of these studies have applied pixel-based image analysis for detecting landslide events using Sentinel images.…”

Differential SAR Interferometry Using Sentinel-1 Imagery-Limitations in Monitoring Fast Moving Landslides: The Case Study of Cyprus

“…Additionally, although the moderate spatial resolution of the IW swath images for Level-1 SLC products (2.7 × 22 m to 3.5 × 22 m), which are available for Cyprus, has proven to be satisfactory for the detection of land subsidence and/or uplift [22,23,36], the detailed study and monitoring of more complex ground displacement phenomena, especially of fast-moving landslides [1,37,38] and slope deformations, cannot be achieved using Sentinel-1 images due to the limitations of the C-band wavelength and the images' medium spatial resolution [39][40][41].…”