Implementation of a ground based synthetic aperture radar (GB-SAR) for landslide monitoring: system description and preliminary results

2016 ◽  
Author(s):  
Andre Florentino ◽  
Saul Charapaqui ◽  
Cesar De La Jara ◽  
Marco Milla
Keyword(s):  
Synthetic Aperture Radar ◽  
Monitoring System ◽  
Synthetic Aperture ◽  
Landslide Monitoring ◽  
System Description ◽  
Preliminary Results ◽  
Aperture Radar

scholarly journals Data Correction Method of The Persistent Scatterer Interferometric Synthetic Aperture Radar Technique in Landslide Surface Monitoring

Mining Scince ◽  
2019 ◽  
Vol 26 ◽  
Author(s):  
Mowen Xie ◽  
Fuxia Lv ◽  
Liwei Wang
Keyword(s):  
Synthetic Aperture Radar ◽  
Single Point ◽  
Synthetic Aperture ◽  
Hydropower Station ◽  
Landslide Monitoring ◽  
Interferometric Synthetic Aperture Radar ◽  
Reservoir Area ◽  
Radar Technique ◽  
Aperture Radar

Landslides generally cause more damage than first predicted. Currently, many methods are available for monitoring landslides occurrence. Conventional methods are mainly based on single-point monitoring, which omits the aspect of variation in large-scale landslides. Due to the development of radar satellites, the differential interferometric synthetic aperture radar technique has been widely used for landslide monitoring. In this study, an experimental region in the Wudongde Hydropower Station reservoir area was studied using archived spaceborne synthetic aperture radar (SAR) data collected over many years. As the permanent scatterer interferometric SAR (PS-InSAR) technique is an advanced technology, it could be suitably used to overcome the time discontinuity in long time series. However, the accuracy of date processing obtained using the PS-InSAR technique is lower than that obtained using the single-point monitoring method. The monitoring results of the PS-InSAR technique only demonstrate the moving trend of landslides and do not present the actual displacement. The Advanced Land Observation Satellite and a high-precision total station were used for long-term landslide monitoring of the Jinpingzi landslide at the Wudongde Hydropower Station reservoir area. Based on a relationship analysis between the data obtained using the PS-InSAR technique and the total station, a revised method was proposed to reduce the errors in the PS-InSAR monitoring results. The method can not only enhance the monitoring precision of the PS-InSAR technology but also achieve long-term monitoring of landslide displacement from a bird’s-eye view.

scholarly journals Generation of Complete SAR Geometric Distortion Maps Based on DEM and Neighbor Gradient Algorithm

2018 ◽  
Vol 8 (11) ◽  
pp. 2206 ◽  
Author(s):  
Xiaohong Chen ◽  
Qian Sun ◽  
Jun Hu
Keyword(s):  
Synthetic Aperture Radar ◽  
Negative Impact ◽  
Gradient Algorithm ◽  
Synthetic Aperture ◽  
Geometric Distortion ◽  
Landslide Monitoring ◽  
Mountainous Area ◽  
Geometric Distortions ◽  
Elevation Model ◽  
Aperture Radar

Radar-specific imaging geometric distortions (including foreshortening, layover, and shadow) that occur in synthetic aperture radar (SAR) images acquired over mountainous areas have a negative impact on the suitability of the interferometric SAR (InSAR) technique to monitor landslides. To address this issue, many distortion simulation methods have been presented to predict the areas in which distortions will occur before processing the SAR image. However, the layover and shadow regions are constituted by active as well as passive subregions. Since passive distortions are caused by active distortions and can occur in the flat area, it is difficult to distinguish the transition zone between passive distortion and non-distortion areas. In addition, passive distortion could cover part of the foreshortening or active layover/shadow areas but has generally been ignored. Therefore, failure to simulate passive distortion leads to incomplete simulated distortions. In this paper, an algorithm to define complete SAR geometric distortions and correct the boundaries among different distortions is presented based on the neighbor gradient between the passive and active distortions. It is an image-processing routine applied to a digital elevation model (DEM) of the terrain to be imaged by the available SAR data. The performance of the proposed method has been validated by the ascending and descending Advanced Land Observing Satellite (ALOS) Phased Array type L-band Synthetic Aperture Radar (PALSAR) images acquired over the Chongqing mountainous area of China. Through the investigation of passive distortion, we can have a deeper understanding of the formation and characteristics of these distortions. Moreover, it provides very meaningful information for research on areas such as landslide monitoring.

scholarly journals A Digital Technique to Estimate Polynya Characteristics from Synthetic Aperture Radar Sea-Ice Data

1987 ◽  
Vol 33 (114) ◽  
pp. 243-245
Author(s):  
James D. Lyden ◽  
Robert A. Shuchman
Keyword(s):  
Sea Ice ◽  
Synthetic Aperture Radar ◽  
Autocorrelation Function ◽  
Open Water ◽  
Binary Image ◽  
Synthetic Aperture ◽  
Digital Technique ◽  
Preliminary Results ◽  
A New Technique ◽  
Aperture Radar

AbstractA new technique has been developed to estimate digitally the concentration and structure of open-water leads (polynyas) in synthetic aperture radar (SAR) sea-ice data. This procedure consists of smoothing the original SAR sea-ice data to reduce speckle effects, level slicing this smoothed image to produce a binary image consisting of ice and open water, generating the autocorrelation function of this image, and interpreting the autocorrelation function for lead information. Preliminary results indicate that this technique yields useful estimates of lead characteristics, but that additional research is required to evaluate fully its performance.

The Integrated Simulation and Processing Tool for Ground Based Synthetic Aperture Radar (GBSAR)

2019 ◽  
Vol 1 (2) ◽  
pp. 20-24
Author(s):  
Chee Siong Lim ◽  
Voon Chet Koo ◽  
Yee Kit Chan
Keyword(s):  
Synthetic Aperture Radar ◽  
Synthetic Aperture ◽  
Landslide Monitoring ◽  
Terrain Mapping ◽  
Realistic Simulation ◽  
Integrated Simulation ◽  
Final Design ◽  
Aperture Radar

Ground-based Synthetic Aperture Radar (GBSAR) is a tremendous example of the extended applications of Synthetic Aperture Radar (SAR). GBSAR is extremely useful in human-made structure observations, terrain mapping, landslide monitoring and many more. However, the process of designing and developing the GBSAR system is rather costly and time-consuming. It would be of a great advantage for system designers to have a realistic simulation and designing tool to anticipate the results before the implementation of the final design. In this paper, we are going to present the integrated simulation and designing tool that we have developed for a generic GBSAR system. We named it iSIM v2.0

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