Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 2479–2495 |
| Seitenumfang | 17 |
| Fachzeitschrift | LANDSLIDES |
| Jahrgang | 20 |
| Ausgabenummer | 11 |
| Frühes Online-Datum | 4 Juli 2023 |
| Publikationsstatus | Veröffentlicht - Nov. 2023 |
Abstract
The conventional multi-temporal InSAR (MT-InSAR) technology suffers from the problems of low spatial density of monitoring points (MPs) and poor interferogram quality in monitoring reservoir bank landslides in mountainous areas. To address it, this study builds upon the Eigendecomposition-based Maximum-likelihood estimator of Interferometric phase (EMI) method, introduces Fisher information to adjust the weight of each interferometric pair, and further develops a new distributed scatterer (DS) phase optimization method, which is referred to as FEMI-DSInSAR in the text. We applied the FEMI-DSInSAR to retrieve the deformation history of landslides along a ~100 km section of the Lancang River using 33 C-band Sentinel-1 images (January 2019–January 2022). The accuracy and reliability were validated by comparing the results with those obtained with EMI-DSInSAR and Stanford Method for Persistent Scatterers-Small Baseline Subset (StaMPS-SBAS) methods in terms of both interferogram quality and large-area deformation results. The differential interferograms obtained by the FEMI-DSInSAR method not only show better quality fringes, but also reduce the sum of phase difference (SPD) and the standard deviation of the phase (PSD) values by 8.9% and 25.2%, respectively. Moreover, the FEMI-DSInSAR method yields the most significant number of MPs under various geomorphic regions and achieves reliable surface displacements, compared to 10 in situ GPS measurements. Finally, we projected the FEMI-DSInSAR-derived line of sight (LOS) deformation results onto the slope direction and successfully identified 4 previously mapped and 46 newly detected unstable slopes. The characteristics of whole-area landslide deformation characteristics and the influencing factors were analyzed.
ASJC Scopus Sachgebiete
- Erdkunde und Planetologie (insg.)
- Geotechnik und Ingenieurgeologie
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in: LANDSLIDES, Jahrgang 20, Nr. 11, 11.2023, S. 2479–2495.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - FIM-based DSInSAR method for mapping and monitoring of reservoir bank landslides
T2 - an application along the Lancang River in China
AU - Hu, Jiyuan
AU - Wu, Wenhao
AU - Motagh, Mahdi
AU - Qin, Fen
AU - Wang, Jiayao
AU - Pan, Shangyi
AU - Guo, Jiming
AU - Zhang, Chunyu
N1 - Funding Information: We are especially grateful to Marie Veth Chua and the anonymous reviewers for their valuable comments, which greatly improved the quality of this manuscript. Funding Information: This work was sponsored by the National Natural Science Foundation of China (grant numbers: 42004006 and U21A2014), Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Regions (Henan University), Ministry of Education open project (grant number: GTYR202203), and the Natural Science Foundation of Hunan Province (grant number: 2021JJ40198). The Copernicus Sentinel data were provided by ESA.
PY - 2023/11
Y1 - 2023/11
N2 - The conventional multi-temporal InSAR (MT-InSAR) technology suffers from the problems of low spatial density of monitoring points (MPs) and poor interferogram quality in monitoring reservoir bank landslides in mountainous areas. To address it, this study builds upon the Eigendecomposition-based Maximum-likelihood estimator of Interferometric phase (EMI) method, introduces Fisher information to adjust the weight of each interferometric pair, and further develops a new distributed scatterer (DS) phase optimization method, which is referred to as FEMI-DSInSAR in the text. We applied the FEMI-DSInSAR to retrieve the deformation history of landslides along a ~100 km section of the Lancang River using 33 C-band Sentinel-1 images (January 2019–January 2022). The accuracy and reliability were validated by comparing the results with those obtained with EMI-DSInSAR and Stanford Method for Persistent Scatterers-Small Baseline Subset (StaMPS-SBAS) methods in terms of both interferogram quality and large-area deformation results. The differential interferograms obtained by the FEMI-DSInSAR method not only show better quality fringes, but also reduce the sum of phase difference (SPD) and the standard deviation of the phase (PSD) values by 8.9% and 25.2%, respectively. Moreover, the FEMI-DSInSAR method yields the most significant number of MPs under various geomorphic regions and achieves reliable surface displacements, compared to 10 in situ GPS measurements. Finally, we projected the FEMI-DSInSAR-derived line of sight (LOS) deformation results onto the slope direction and successfully identified 4 previously mapped and 46 newly detected unstable slopes. The characteristics of whole-area landslide deformation characteristics and the influencing factors were analyzed.
AB - The conventional multi-temporal InSAR (MT-InSAR) technology suffers from the problems of low spatial density of monitoring points (MPs) and poor interferogram quality in monitoring reservoir bank landslides in mountainous areas. To address it, this study builds upon the Eigendecomposition-based Maximum-likelihood estimator of Interferometric phase (EMI) method, introduces Fisher information to adjust the weight of each interferometric pair, and further develops a new distributed scatterer (DS) phase optimization method, which is referred to as FEMI-DSInSAR in the text. We applied the FEMI-DSInSAR to retrieve the deformation history of landslides along a ~100 km section of the Lancang River using 33 C-band Sentinel-1 images (January 2019–January 2022). The accuracy and reliability were validated by comparing the results with those obtained with EMI-DSInSAR and Stanford Method for Persistent Scatterers-Small Baseline Subset (StaMPS-SBAS) methods in terms of both interferogram quality and large-area deformation results. The differential interferograms obtained by the FEMI-DSInSAR method not only show better quality fringes, but also reduce the sum of phase difference (SPD) and the standard deviation of the phase (PSD) values by 8.9% and 25.2%, respectively. Moreover, the FEMI-DSInSAR method yields the most significant number of MPs under various geomorphic regions and achieves reliable surface displacements, compared to 10 in situ GPS measurements. Finally, we projected the FEMI-DSInSAR-derived line of sight (LOS) deformation results onto the slope direction and successfully identified 4 previously mapped and 46 newly detected unstable slopes. The characteristics of whole-area landslide deformation characteristics and the influencing factors were analyzed.
KW - Distributed scatterers
KW - Fisher information
KW - Interferogram quality
KW - Reservoir bank landslides
KW - Slope deformation projection
UR - http://www.scopus.com/inward/record.url?scp=85163976658&partnerID=8YFLogxK
U2 - 10.1007/s10346-023-02097-5
DO - 10.1007/s10346-023-02097-5
M3 - Article
AN - SCOPUS:85163976658
VL - 20
SP - 2479
EP - 2495
JO - LANDSLIDES
JF - LANDSLIDES
SN - 1612-510X
IS - 11
ER -