Remote Sensing Application for Landslide Detection, Monitoring along Eastern Lake Michigan (Miami Park, MI)
We assessed the nature and spatial and temporal patterns of deformation over the Miami Park bluffs on the eastern margin of Lake Michigan and investigated the factors controlling its observed deformation. Our approach involved the following steps: (1) extracting bluff deformation rates (velocities a...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-07-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/14/14/3474 |
| _version_ | 1797416087797628928 |
|---|---|
| author | Guzalay Sataer Mohamed Sultan Mustafa Kemal Emil John A. Yellich Monica Palaseanu-Lovejoy Richard Becker Esayas Gebremichael Karem Abdelmohsen |
| author_facet | Guzalay Sataer Mohamed Sultan Mustafa Kemal Emil John A. Yellich Monica Palaseanu-Lovejoy Richard Becker Esayas Gebremichael Karem Abdelmohsen |
| author_sort | Guzalay Sataer |
| collection | DOAJ |
| description | We assessed the nature and spatial and temporal patterns of deformation over the Miami Park bluffs on the eastern margin of Lake Michigan and investigated the factors controlling its observed deformation. Our approach involved the following steps: (1) extracting bluff deformation rates (velocities along the line of sight of the satellite) using a stack of Sentinel-1A radar imagery in ascending acquisition geometry acquired between 2017 and 2021 and applying the Intermittent Small Baseline Subset (ISBAS) InSAR time series analysis method; (2) generating high-resolution (5 cm) elevation models and orthophotos from temporal unmanned aerial vehicle (UAV) surveys acquired in 2017, 2019, and 2021; and (3) comparing the temporal variations in mass wasting events to other relevant datasets including the ISBAS-based bluff deformation time series, lake level (LL) variations, and local glacial stratigraphy. We identified areas witnessing high line-of-sight (LOS) deformation rates (up to −21 mm/year) along the bluff from the ISBAS analysis and seasonal deformation patterns associated with freeze-thaw cycles, suggesting a causal effect. The acceleration of slope failures detected from field and UAV acquisitions correlated with high LLs and intensified onshore wave energy in 2020. The adopted methodology successfully predicts landslides caused by freezes and thaws of the slope face by identifying prolonged slow deformation preceding slope failures, but it does not predict the catastrophic landslides preceded by short-lived LOS deformation related to LL rise. |
| first_indexed | 2024-03-09T05:58:34Z |
| format | Article |
| id | doaj.art-af55a673896842cb902dd015f171cbd8 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T05:58:34Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-af55a673896842cb902dd015f171cbd82023-12-03T12:11:36ZengMDPI AGRemote Sensing2072-42922022-07-011414347410.3390/rs14143474Remote Sensing Application for Landslide Detection, Monitoring along Eastern Lake Michigan (Miami Park, MI)Guzalay Sataer0Mohamed Sultan1Mustafa Kemal Emil2John A. Yellich3Monica Palaseanu-Lovejoy4Richard Becker5Esayas Gebremichael6Karem Abdelmohsen7Department of Geological and Environmental Sciences, Western Michigan University, Kalamazoo, MI 49009, USADepartment of Geological and Environmental Sciences, Western Michigan University, Kalamazoo, MI 49009, USADepartment of Geological and Environmental Sciences, Western Michigan University, Kalamazoo, MI 49009, USAMichigan Geological Survey, Kalamazoo, MI 49009, USAU.S. Geological Survey, Reston, VA 12201, USADepartment of Environmental Sciences, University of Toledo, Toledo, OH 43606, USADepartment of Geological Sciences, Texas Christian University, Fort Worth, TX 76129, USADepartment of Geological and Environmental Sciences, Western Michigan University, Kalamazoo, MI 49009, USAWe assessed the nature and spatial and temporal patterns of deformation over the Miami Park bluffs on the eastern margin of Lake Michigan and investigated the factors controlling its observed deformation. Our approach involved the following steps: (1) extracting bluff deformation rates (velocities along the line of sight of the satellite) using a stack of Sentinel-1A radar imagery in ascending acquisition geometry acquired between 2017 and 2021 and applying the Intermittent Small Baseline Subset (ISBAS) InSAR time series analysis method; (2) generating high-resolution (5 cm) elevation models and orthophotos from temporal unmanned aerial vehicle (UAV) surveys acquired in 2017, 2019, and 2021; and (3) comparing the temporal variations in mass wasting events to other relevant datasets including the ISBAS-based bluff deformation time series, lake level (LL) variations, and local glacial stratigraphy. We identified areas witnessing high line-of-sight (LOS) deformation rates (up to −21 mm/year) along the bluff from the ISBAS analysis and seasonal deformation patterns associated with freeze-thaw cycles, suggesting a causal effect. The acceleration of slope failures detected from field and UAV acquisitions correlated with high LLs and intensified onshore wave energy in 2020. The adopted methodology successfully predicts landslides caused by freezes and thaws of the slope face by identifying prolonged slow deformation preceding slope failures, but it does not predict the catastrophic landslides preceded by short-lived LOS deformation related to LL rise.https://www.mdpi.com/2072-4292/14/14/3474landslide monitoringSentinel-1DInSARIntermittent Small Baseline Subset (ISBAS)Michigan |
| spellingShingle | Guzalay Sataer Mohamed Sultan Mustafa Kemal Emil John A. Yellich Monica Palaseanu-Lovejoy Richard Becker Esayas Gebremichael Karem Abdelmohsen Remote Sensing Application for Landslide Detection, Monitoring along Eastern Lake Michigan (Miami Park, MI) Remote Sensing landslide monitoring Sentinel-1 DInSAR Intermittent Small Baseline Subset (ISBAS) Michigan |
| title | Remote Sensing Application for Landslide Detection, Monitoring along Eastern Lake Michigan (Miami Park, MI) |
| title_full | Remote Sensing Application for Landslide Detection, Monitoring along Eastern Lake Michigan (Miami Park, MI) |
| title_fullStr | Remote Sensing Application for Landslide Detection, Monitoring along Eastern Lake Michigan (Miami Park, MI) |
| title_full_unstemmed | Remote Sensing Application for Landslide Detection, Monitoring along Eastern Lake Michigan (Miami Park, MI) |
| title_short | Remote Sensing Application for Landslide Detection, Monitoring along Eastern Lake Michigan (Miami Park, MI) |
| title_sort | remote sensing application for landslide detection monitoring along eastern lake michigan miami park mi |
| topic | landslide monitoring Sentinel-1 DInSAR Intermittent Small Baseline Subset (ISBAS) Michigan |
| url | https://www.mdpi.com/2072-4292/14/14/3474 |
| work_keys_str_mv | AT guzalaysataer remotesensingapplicationforlandslidedetectionmonitoringalongeasternlakemichiganmiamiparkmi AT mohamedsultan remotesensingapplicationforlandslidedetectionmonitoringalongeasternlakemichiganmiamiparkmi AT mustafakemalemil remotesensingapplicationforlandslidedetectionmonitoringalongeasternlakemichiganmiamiparkmi AT johnayellich remotesensingapplicationforlandslidedetectionmonitoringalongeasternlakemichiganmiamiparkmi AT monicapalaseanulovejoy remotesensingapplicationforlandslidedetectionmonitoringalongeasternlakemichiganmiamiparkmi AT richardbecker remotesensingapplicationforlandslidedetectionmonitoringalongeasternlakemichiganmiamiparkmi AT esayasgebremichael remotesensingapplicationforlandslidedetectionmonitoringalongeasternlakemichiganmiamiparkmi AT karemabdelmohsen remotesensingapplicationforlandslidedetectionmonitoringalongeasternlakemichiganmiamiparkmi |