Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Using in situ soil measurements for analysis of a polarimetric SAR-based classification of levee slump slides in the Lower Mississippi River
Abstract There is a critical need to improve levee monitoring techniques to enable the implementation of a cost-effective multi-scale monitoring system. In this study, polarimetric synthetic aperture radar (PolSAR) imagery was used as input in an automated classification system for characterizing areas in the levee having anomalies, with an emphasis on slump slides. In addition to the remotely sensed data, a set of in-situ soil data was collected to provide detailed soil properties over the study area. In-situ soil data were collected via a series of sensors and soil corings to obtain information regarding soil texture, moisture content, hydraulic conductivity and penetration resistance. While the automated classification system correctly identified the location of active slides, there were some points, referred to as “false positive points”, which were classified as anomalous but no failure was found at those locations. The goal of this study was to compare in-situ soil properties of the false positive points with those of the true positive points (i.e., the slide area) and true negatives (i.e., the healthy areas) by two methods, one pixel-based and one object-based, to determine how similar they are to either the healthy or slide areas. The results from the object-based method showed a strong relationship between the false positive points and the slide area in the top 30–45cm of soil. The observed relationship and the later discovery of cracks in one of the dense false positive zones indicate the importance of this study.
Highlights Improving levee monitoring techniques for detection of vulnerable points is critical. We analyzed an automated levee slump slide classifier using PolSAR imagery. We collected an extensive set of in-situ soil data to provide detailed soil properties. Soil properties for different classes from the classifier output were analyzed. A strong relationship was shown between the false positives and the slide.
Using in situ soil measurements for analysis of a polarimetric SAR-based classification of levee slump slides in the Lower Mississippi River
Abstract There is a critical need to improve levee monitoring techniques to enable the implementation of a cost-effective multi-scale monitoring system. In this study, polarimetric synthetic aperture radar (PolSAR) imagery was used as input in an automated classification system for characterizing areas in the levee having anomalies, with an emphasis on slump slides. In addition to the remotely sensed data, a set of in-situ soil data was collected to provide detailed soil properties over the study area. In-situ soil data were collected via a series of sensors and soil corings to obtain information regarding soil texture, moisture content, hydraulic conductivity and penetration resistance. While the automated classification system correctly identified the location of active slides, there were some points, referred to as “false positive points”, which were classified as anomalous but no failure was found at those locations. The goal of this study was to compare in-situ soil properties of the false positive points with those of the true positive points (i.e., the slide area) and true negatives (i.e., the healthy areas) by two methods, one pixel-based and one object-based, to determine how similar they are to either the healthy or slide areas. The results from the object-based method showed a strong relationship between the false positive points and the slide area in the top 30–45cm of soil. The observed relationship and the later discovery of cracks in one of the dense false positive zones indicate the importance of this study.
Highlights Improving levee monitoring techniques for detection of vulnerable points is critical. We analyzed an automated levee slump slide classifier using PolSAR imagery. We collected an extensive set of in-situ soil data to provide detailed soil properties. Soil properties for different classes from the classifier output were analyzed. A strong relationship was shown between the false positives and the slide.
Using in situ soil measurements for analysis of a polarimetric SAR-based classification of levee slump slides in the Lower Mississippi River
Sehat, Sona (Autor:in) / Vahedifard, Farshid (Autor:in) / Aanstoos, James V. (Autor:in) / Dabbiru, Lalitha (Autor:in) / Hasan, Khaled (Autor:in)
Engineering Geology ; 181 ; 157-168
02.07.2014
12 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
| British Library Online Contents | 2014
Hydraulic levee building on lower Mississippi
| Engineering Index Backfile | 1929
Levee construction along the Mississippi River
| Engineering Index Backfile | 1929