Discussion on InSAR Identification Effectivity of Potential Landslides and Factors That Influence the Effectivity
出版年份 2022 全文链接
标题
Discussion on InSAR Identification Effectivity of Potential Landslides and Factors That Influence the Effectivity
作者
关键词
-
出版物
Remote Sensing
Volume 14, Issue 8, Pages 1952
出版商
MDPI AG
发表日期
2022-04-19
DOI
10.3390/rs14081952
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Emergency response to the reactivated Aniangzhai landslide resulting from a rainstorm-triggered debris flow, Sichuan Province, China
- (2021) Bo Zhao et al. Landslides
- On the applicability of satellite SAR interferometry to landslide hazards detection in hilly areas: a case study of Shuicheng, Guizhou in Southwest China
- (2021) Yian Wang et al. Landslides
- Integration of Sentinel-1 and ALOS/PALSAR-2 SAR datasets for mapping active landslides along the Jinsha River corridor, China
- (2021) Xiaojie Liu et al. ENGINEERING GEOLOGY
- UAV photogrammetry-based remote sensing and preliminary assessment of the behavior of a landslide in Guizhou, China
- (2021) Zhan Cheng et al. ENGINEERING GEOLOGY
- Identifying Potential Landslides by Stacking-InSAR in Southwestern China and Its Performance Comparison with SBAS-InSAR
- (2021) Lele Zhang et al. Remote Sensing
- Multitemporal UAV-based photogrammetry for landslide detection and monitoring in a large area: a case study in the Heifangtai terrace in the Loess Plateau of China
- (2020) Qiang Xu et al. Journal of Mountain Science
- Insights from the failure and dynamic characteristics of two sequential landslides at Baige village along the Jinsha River, China
- (2019) Chaojun Ouyang et al. Landslides
- The human cost of global warming: Deadly landslides and their triggers (1995–2014)
- (2019) Ubydul Haque et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Detection and displacement characterization of landslides using multi-temporal satellite SAR interferometry: A case study of Danba County in the Dadu River Basin
- (2018) Jie Dong et al. ENGINEERING GEOLOGY
- Developing an algorithm for automated geometric analysis and classification of landslides incorporating LiDAR-derived DEM
- (2018) Saied Pirasteh et al. Environmental Earth Sciences
- Monitoring Highway Stability in Permafrost Regions with X-band Temporary Scatterers Stacking InSAR
- (2018) Keren Dai et al. SENSORS
- Failure mechanism and kinematics of the deadly June 24th 2017 Xinmo landslide, Maoxian, Sichuan, China
- (2017) Xuanmei Fan et al. Landslides
- The new landslide inventory of Tuscany (Italy) updated with PS-InSAR: geomorphological features and landslide distribution
- (2017) A. Rosi et al. Landslides
- Investigating landslides and unstable slopes with satellite Multi Temporal Interferometry: Current issues and future perspectives
- (2014) Janusz Wasowski et al. ENGINEERING GEOLOGY
- Long-Term Land Subsidence Monitoring of Beijing (China) Using the Small Baseline Subset (SBAS) Technique
- (2014) Bo Hu et al. Remote Sensing
- Persistent Scatterer Interferometry (PSI) Technique for Landslide Characterization and Monitoring
- (2013) Veronica Tofani et al. Remote Sensing
- Mexico City Subsidence Measured by InSAR Time Series: Joint Analysis Using PS and SBAS Approaches
- (2012) Yajing Yan et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Monitoring of urban subsidence with SAR interferometric point target analysis: A case study in Suzhou, China
- (2011) Yonghong Zhang et al. International Journal of Applied Earth Observation and Geoinformation
- Airborne laser scanning of forested landslides characterization: Terrain model quality and visualization
- (2010) K.A. Razak et al. GEOMORPHOLOGY
- Use of LIDAR in landslide investigations: a review
- (2010) Michel Jaboyedoff et al. NATURAL HAZARDS
- Analysis at medium scale of low-resolution DInSAR data in slow-moving landslide-affected areas
- (2009) Leonardo Cascini et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now