scholarly journals Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning

2017 ◽  
Vol 4 (1) ◽  
Author(s):  
Nicola Casagli ◽  
William Frodella ◽  
Stefano Morelli ◽  
Veronica Tofani ◽  
Andrea Ciampalini ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Early Warning ◽  
Landslide Mapping ◽  
Remote Sensing Techniques ◽  
Monitoring And Early Warning

scholarly journals Review of Satellite Interferometry for Landslide Detection in Italy

2020 ◽  
Vol 12 (8) ◽  
pp. 1351 ◽  
Author(s):  
Lorenzo Solari ◽  
Matteo Del Soldato ◽  
Federico Raspini ◽  
Anna Barra ◽  
Silvia Bianchini ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Management Strategies ◽  
Back Analysis ◽  
Remote Sensing Data ◽  
Economic Losses ◽  
Interferometric Synthetic Aperture Radar ◽  
Monitoring Tools ◽  
Average Production ◽  
Landslide Mapping ◽  
Remote Sensing Techniques

Landslides recurrently impact the Italian territory, producing huge economic losses and casualties. Because of this, there is a large demand for monitoring tools to support landslide management strategies. Among the variety of remote sensing techniques, Interferometric Synthetic Aperture Radar (InSAR) has become one of the most widely applied for landslide studies. This work reviews a variety of InSAR-related applications for landslide studies in Italy. More than 250 papers were analyzed in this review. The first application dates back to 1999. The average production of InSAR-related papers for landslide studies is around 12 per year, with a peak of 37 papers in 2015. Almost 70% of the papers are written by authors in academia. InSAR is used (i) for landslide back analysis (3% of the papers); (ii) for landslide characterization (40% of the papers); (iii) as input for landslide models (7% of the papers); (iv) to update landslide inventories (15% of the papers); (v) for landslide mapping (32% of the papers), and (vi) for monitoring (3% of the papers). Sixty-eight percent of the authors validated the satellite results with ground information or other remote sensing data. Although well-known limitations exist, this bibliographic overview confirms that InSAR is a consolidated tool for many landslide-related applications.

scholarly journals Monitoring and Early Warning of Transmission Line External Breakage Based on Satellite-Ground Coordination

2021 ◽  
Vol 2078 (1) ◽  
pp. 012071
Author(s):  
Zhi Yang ◽  
Yuanjing Deng ◽  
Mengxuan Li ◽  
Yi Liu ◽  
Binbin Zhao ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Transmission Line ◽  
Transmission Lines ◽  
Early Warning ◽  
Satellite Remote Sensing ◽  
Construction Work ◽  
Remote Sensing Images ◽  
Registration Method ◽  
Monitoring And Early Warning ◽  
External Damage

Abstract This article first proposes a high-precision spatio-temporal registration method between satellite remote sensing images and ground sensors. Then, using satellite remote sensing images, an intelligent identification model for typical external damage hidden dangers of transmission lines based on satellite remote sensing is established to realize intelligent identification of transmission line construction work areas and mining affected areas. Aiming at the results of intelligent identification of construction work areas and mining-affected areas, the proposed YOLOv4-based external damage identification algorithm for transmission lines is used to detect external damage hidden dangers. Through the method in this paper, it is possible to realize a regular general survey of hidden dangers of external damage (construction work area, mining affected area) with full coverage of transmission channels, and carry out targeted 24-hour monitoring on the ground. The test results show that the satellite-ground coordinated transmission line external damage monitoring and early warning in this paper. The method timely and accurately realizes the monitoring and early warning of the external breakage of the transmission line.

Remote Sensing Techniques in Landslide Mapping and Monitoring, Keynote Lecture

2017 ◽  
pp. 1-19 ◽  
Author(s):  
Nicola Casagli ◽  
Veronica Tofani ◽  
Stefano Morelli ◽  
William Frodella ◽  
Andrea Ciampalini ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Keynote Lecture ◽  
Landslide Mapping ◽  
Remote Sensing Techniques

Landslide mapping, monitoring and early warning by using optical remote sensing, InSAR and ground-based sensors: case study of the Qingpo landslide (Wenchuan, China)

2020 ◽  
Author(s):  
Weihua Zhao ◽  
Mingli Xie ◽  
Nengpan Ju
Keyword(s):  
Remote Sensing ◽  
Time Series ◽  
Real Time ◽  
Early Warning ◽  
Deformation Monitoring ◽  
Monitoring Methods ◽  
Real Time Monitoring ◽  
Deformation Velocity ◽  
Monitoring And Early Warning

<p> Studies of landslide evolution that improve the knowledge of ground movements are essential to understand the mechanism of deformation for landslide-prone territories to mitigate the associated risk. The large Qingpo landslide, with a volume of about 200,0000 m<sup>3</sup>, is located in a mega ancient landslide (with a width of 1300 m and a height difference about 400 meters), and a pylon is just located on the boundary of Qingpo landslide. How to accurately judge the historical evolution process, current evolution stage and the future evolution trend of the large landslides is very important for landslide and pylon monitoring and early warning. In this study, on the basis of a detailed on-site investigation, a total of 114 Sentinel-1A Images over five years with Level-1 Single Look Complex (SLC) mode and Interferometric Wide (IW) acquisition mode were downloaded from Copernicus Open Access Hub and were preprocessed by time series InSAR model, which allow us to produce deformation time series and mean deformation velocity maps. An automatic monitoring and warning scheme was designed, 10 sets of ground-based sensors, containing self-adapting crack meter, rain gauge, strain gauge and dip meter were installed, followed by real-time monitoring within one month. Ultimately, the temporal and spatial evolution characteristics of the landslide were comprehensively analyzed through on-site deformation investigation, long-term deformation monitoring by InSAR and ground-based real-time monitoring. The applicability of long-term remote sensing monitoring and real-time monitoring methods and how to use them together have also been verified. This study may can also provide a typical case for the comprehensive use of multi-source data.</p>

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