Matches in SemOpenAlex for { <https://semopenalex.org/work/W4224211193> ?p ?o ?g. }
- W4224211193 endingPage "1759" @default.
- W4224211193 startingPage "1759" @default.
- W4224211193 abstract "Landslides, a major natural geohazard, obstruct municipal constructions and may destroy villages and towns, at worst causing significant casualties and economic losses. Interferometric Synthetic Aperture Radar (InSAR) technique offers distinct advantages on landslide detection and monitoring. In this paper, a more systematic workflow is designed for InSAR study of landslides, in terms of three levels: (i) early detection on regional scale, (ii) three-dimensional (3D) surface displacement rates estimation on detailed scale, and (iii) time series analysis on long-term temporal scale. The proposed workflow is applied for landslide research on the Xiaojiang River Basin, China, using ascending and descending Sentinel-1 images acquired from March 2017 to May 2019. First, the landslide inventory has been mapped and updated using InSAR stacking method, supporting geohazard prevention on a regional scale. A total of 22 active landslides are identified, ranging from medium to super large scale. Compared with the existing inventory, three unrecorded landslides are newly detected by our approach, and five recorded landslides are detected significant expansion of their boundaries. Then, specific to a detected landslide, Baobao landslide, a Total Least Squares–Kalman Filter-based approach is presented. Two outcomes are provided for further spatial-temporal pattern analysis: 3D displacement rates, providing an intuitive insight on the spatial characteristics and sliding direction of landslide, which are analyzed to deep the understanding of its kinematic mechanism, and long-term time series, which contribute to deduce the dynamic evolution of landslide, presenting benefits in landslide forecasting." @default.
- W4224211193 created "2022-04-26" @default.
- W4224211193 creator A5015892398 @default.
- W4224211193 creator A5020487588 @default.
- W4224211193 creator A5026572747 @default.
- W4224211193 creator A5032677320 @default.
- W4224211193 creator A5087937271 @default.
- W4224211193 date "2022-04-06" @default.
- W4224211193 modified "2023-10-05" @default.
- W4224211193 title "InSAR Study of Landslides: Early Detection, Three-Dimensional, and Long-Term Surface Displacement Estimation—A Case of Xiaojiang River Basin, China" @default.
- W4224211193 cites W1540501767 @default.
- W4224211193 cites W1976377934 @default.
- W4224211193 cites W1995569833 @default.
- W4224211193 cites W2000127177 @default.
- W4224211193 cites W2001924195 @default.
- W4224211193 cites W2010462507 @default.
- W4224211193 cites W2012464879 @default.
- W4224211193 cites W2015804366 @default.
- W4224211193 cites W2020255416 @default.
- W4224211193 cites W2026796366 @default.
- W4224211193 cites W2038557576 @default.
- W4224211193 cites W2038566498 @default.
- W4224211193 cites W2039696431 @default.
- W4224211193 cites W2044507297 @default.
- W4224211193 cites W2047029664 @default.
- W4224211193 cites W2054512946 @default.
- W4224211193 cites W2059281537 @default.
- W4224211193 cites W2065989874 @default.
- W4224211193 cites W2075550759 @default.
- W4224211193 cites W2078875650 @default.
- W4224211193 cites W2082137538 @default.
- W4224211193 cites W2082827703 @default.
- W4224211193 cites W2083502934 @default.
- W4224211193 cites W2087208682 @default.
- W4224211193 cites W2126425139 @default.
- W4224211193 cites W2130204909 @default.
- W4224211193 cites W2152657318 @default.
- W4224211193 cites W2154509205 @default.
- W4224211193 cites W2163622378 @default.
- W4224211193 cites W2411288846 @default.
- W4224211193 cites W2472120815 @default.
- W4224211193 cites W2521190355 @default.
- W4224211193 cites W2547100633 @default.
- W4224211193 cites W2561280836 @default.
- W4224211193 cites W2734428930 @default.
- W4224211193 cites W2746752465 @default.
- W4224211193 cites W2766126705 @default.
- W4224211193 cites W2768074118 @default.
- W4224211193 cites W2785155133 @default.
- W4224211193 cites W2792546905 @default.
- W4224211193 cites W2809634612 @default.
- W4224211193 cites W2886563224 @default.
- W4224211193 cites W2932021675 @default.
- W4224211193 cites W2942358003 @default.
- W4224211193 cites W2997076820 @default.
- W4224211193 cites W3003657101 @default.
- W4224211193 cites W3017107753 @default.
- W4224211193 cites W3021491793 @default.
- W4224211193 cites W3026630714 @default.
- W4224211193 cites W3037457186 @default.
- W4224211193 cites W3082304318 @default.
- W4224211193 cites W3107647130 @default.
- W4224211193 cites W3121510139 @default.
- W4224211193 cites W3130314725 @default.
- W4224211193 cites W3134558900 @default.
- W4224211193 cites W3166100527 @default.
- W4224211193 cites W3175464068 @default.
- W4224211193 cites W3195562858 @default.
- W4224211193 cites W3199084516 @default.
- W4224211193 cites W3203633067 @default.
- W4224211193 cites W3206541388 @default.
- W4224211193 cites W3213044709 @default.
- W4224211193 cites W3216468143 @default.
- W4224211193 cites W872839841 @default.
- W4224211193 doi "https://doi.org/10.3390/rs14071759" @default.
- W4224211193 hasPublicationYear "2022" @default.
- W4224211193 type Work @default.
- W4224211193 citedByCount "6" @default.
- W4224211193 countsByYear W42242111932022 @default.
- W4224211193 countsByYear W42242111932023 @default.
- W4224211193 crossrefType "journal-article" @default.
- W4224211193 hasAuthorship W4224211193A5015892398 @default.
- W4224211193 hasAuthorship W4224211193A5020487588 @default.
- W4224211193 hasAuthorship W4224211193A5026572747 @default.
- W4224211193 hasAuthorship W4224211193A5032677320 @default.
- W4224211193 hasAuthorship W4224211193A5087937271 @default.
- W4224211193 hasBestOaLocation W42242111931 @default.
- W4224211193 hasConcept C114793014 @default.
- W4224211193 hasConcept C127313418 @default.
- W4224211193 hasConcept C13280743 @default.
- W4224211193 hasConcept C165205528 @default.
- W4224211193 hasConcept C186295008 @default.
- W4224211193 hasConcept C205649164 @default.
- W4224211193 hasConcept C22286887 @default.
- W4224211193 hasConcept C2778755073 @default.
- W4224211193 hasConcept C2779629037 @default.
- W4224211193 hasConcept C58640448 @default.
- W4224211193 hasConcept C62649853 @default.