TY - JOUR

T1 - Multi-temporal landslide activity investigation by spaceborne SAR interferometry

T2 - The case study of the Polish Carpathians

AU - Pawluszek-Filipiak, Kamila

AU - Borkowski, Andrzej

AU - Motagh, Mahdi

N1 - Funding Information: The Landslide Counteracting System (SOPO) project was used as the preexisting landslide inventory database. LIMs are the components of this database. The SOPO project was launched in 2008 under the order of the Ministry of Environment with funds from the National Fund for Environmental Protection and Water Management. The purpose of SOPO is to support the administration and environmental protection inspectorates, as well as non-governmental organizations, in effectively fulfilling the duties connected to landslide risk management. The system, in its assumptions, provides proper and complete data for effective landslide risk management ( Pawluszek et al., 2018 ). All recorded landslides locations and their extent have been stored within the SOPO project. Moreover, information about the activity state, as well as detailed geomorphological and geological analyses, are presented. Landslides within the study area were mapped during field work in 2010, 2011, 2012, 2013, 2014, and 2015 ( Bąk et al., 2011 ; Wójcik et al., 2011 ; Koluch and Nowicka, 2012 ). Additional mapping was also performed based on topographic maps at a 1:10,000 scale and supported by stereoscopic analyses of aerial photographs and LiDAR data ( Perski et al., 2011 ; Wojciechowski et al., 2012 ). A total of 506 landslides were identified in this area. Many of them are complex landslides which were mapped within the SOPO from more than one object. These objects have been distinguished according to the activity state of a specific landslide unit. Therefore, in total, 712 landslide objects exist in the database. These landslides cover 15 km 2 of the study area. This means that 20% of the study area is affected by landslides. According to the preexisting landslide inventory, 50%, 26%, and 24% are considered as not active, periodically, active, and continuously active landslides respectively. Landslides within the study area are translational and rotational landslides; however, the SOPO database does not differentiate translational and rotational slides and these both types are described in general as “slides”. Moreover, there are small landslides within the study area, with an area of a few ares (a) and big complex landslides with an area exceeding 5000 ares. The precise number of landslides, their activity and the statistical overview of the area are presented in Table 1 while the spatial distribution is presented in Fig. 1 . Funding Information: The presented study was performed thanks to “START2020” scholarship founded by the Foundation for Polish Science and co-financed under the Leading Research Groups support project from the subsidy increased for the period 2020–2025 in the amount of 2% of the subsidy referred to Art. 387 (3) of the Law of 20 July 2018 on Higher Education and Science, obtained in 2019. The research infrastructure which has been used for computation purposes was created within the project EPOS-PL, European Plate Observing System POIR.04.02.00–14-A003/16, funded by the Operational Programme Smart Growth 2014–2020 , Priority IV: Increasing the research potential, Action 4.2: Development of modern research infrastructure in the science sector, and co-financed by European Regional Development Fund .

PY - 2021/11

Y1 - 2021/11

N2 - The main goal of this research is to verify the activity state of landslides provided by an existing landslide inventory map using Persistent Scatterers (PS) Interferometry (PSInSAR). The study was conducted in the Małopolskie municipality, a rural setting with sparse urbanization in the Polish Flysch Carpathians. PSInSAR has been applied using Synthetic Aperture Radar (SAR) data from ALOS PALSAR and Sentinel 1A/B with different acquisition geometries (ascending and descending orbit) to increase PS coverage and mitigate the geometric effects due to layover and shadowing. The Line-Of-Sight PSInSAR measurements were projected to the steepest slope, which allowed to homogenize the results from diverse acquisition modes and to compare the displacement velocities with different slope orientations. Additionally, landslide intensity (motion rate) and expected damage maps were generated and verified during field investigations. A high correlation between PSInSAR results and in-situ damage observations was confirmed. The activity state and landslide-related expected damage maps have been confirmed for 43 out of a total of 50 landslides investigated in the field. The short temporal baseline provided by both Sentinel satellites (1A/B data) increases the PS density significantly. The study substantiates the usefulness of SAR based landslide activity monitoring for land use and land development, even in rural areas.

AB - The main goal of this research is to verify the activity state of landslides provided by an existing landslide inventory map using Persistent Scatterers (PS) Interferometry (PSInSAR). The study was conducted in the Małopolskie municipality, a rural setting with sparse urbanization in the Polish Flysch Carpathians. PSInSAR has been applied using Synthetic Aperture Radar (SAR) data from ALOS PALSAR and Sentinel 1A/B with different acquisition geometries (ascending and descending orbit) to increase PS coverage and mitigate the geometric effects due to layover and shadowing. The Line-Of-Sight PSInSAR measurements were projected to the steepest slope, which allowed to homogenize the results from diverse acquisition modes and to compare the displacement velocities with different slope orientations. Additionally, landslide intensity (motion rate) and expected damage maps were generated and verified during field investigations. A high correlation between PSInSAR results and in-situ damage observations was confirmed. The activity state and landslide-related expected damage maps have been confirmed for 43 out of a total of 50 landslides investigated in the field. The short temporal baseline provided by both Sentinel satellites (1A/B data) increases the PS density significantly. The study substantiates the usefulness of SAR based landslide activity monitoring for land use and land development, even in rural areas.

KW - Interferometry

KW - Landslide activity

KW - Landslide intensity

KW - Persistent scatterers

UR - http://www.scopus.com/inward/record.url?scp=85122618018&partnerID=8YFLogxK

U2 - 10.1016/j.rsase.2021.100629

DO - 10.1016/j.rsase.2021.100629

M3 - Article

AN - SCOPUS:85122618018

VL - 24

JO - Remote Sensing Applications: Society and Environment

JF - Remote Sensing Applications: Society and Environment

M1 - 100629

ER -