Paper
14 March 2003 Integration of remote sensing (LIDAR, electromagnetic conductivity) and geologic data toward the condition assessment of levee systems
Michael Bishop, Joseph B. Dunbar, Linda P. Peyman-Dove
Author Affiliations +
Abstract
Remote sensing technologies are used to collect data that measure properties of materials that comprise the earth's surface, subsurface, and man-made features such as levees constructed of these materials. Scientists use, manipulate, and analyze these data to make inferences about levee materials as well as identify local areas where intensive field investigation resources might most efficiently be spent. In this current study, airborne LiDAR and electromagnetic (EM) conductivity data have been processed and integrated with other digital data to identify specific areas within a levee system where anomalies exist. Preliminary results support the idea that changes in material type and the presence of man-made, levee-perforating structures do cause recognizable effects on recorded EM conductivities. Planned site investigations at identified EM anomalous areas will focus the efforts of field crews to determine the causes and significance of anomalies. As the field season progresses and data from in situ testing of levee materials are analyzed, relationships between material types and the EM data will be represented in graphics. Results of the study will be used to calibrate a model with which levee systems can be assessed for compliance with certain design specifications as well as predicting performance during flood events.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael Bishop, Joseph B. Dunbar, and Linda P. Peyman-Dove "Integration of remote sensing (LIDAR, electromagnetic conductivity) and geologic data toward the condition assessment of levee systems", Proc. SPIE 4886, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology II, (14 March 2003); https://doi.org/10.1117/12.462112
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
LIDAR

Data modeling

Geographic information systems

Photography

Floods

Geology

Electromagnetism

Back to Top