Slope Hazard Monitoring Using High-Resolution Satellite Remote Sensing: Lessons Learned from a Case Study
| Autor: | Daniele Perissin, Yuxiao Qin, Edward J. Hoppe |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
recommendation
010504 meteorology & atmospheric sciences Computer science incidence angle Geography Planning and Development 0211 other engineering and technologies highway lcsh:G1-922 geometric distortion 02 engineering and technology 01 natural sciences Interferometric synthetic aperture radar Earth and Planetary Sciences (miscellaneous) Computers in Earth Sciences 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing insar Settlement (structural) SIGNAL (programming language) Process (computing) mtinsar Coherence (statistics) monitoring Section (archaeology) best configuration slope Satellite Change detection lcsh:Geography (General) |
| Zdroj: | ISPRS International Journal of Geo-Information, Vol 9, Iss 2, p 131 (2020) ISPRS International Journal of Geo-Information Volume 9 Issue 2 |
| ISSN: | 2220-9964 |
| Popis: | In this study, a highway slope monitoring project for a section of US highway I-77 in Virginia was carried out with the InSAR technique. This paper attempts to provide insights into the complete and practical solution for the monitoring project, including two parts: what to consider for selecting the optimal satellites and configurations for the given area of interest (AoI) and budget and how to best process the selected data for the monitoring purposes. To answer the first question, the simulated geometric distortion map, cumulative change detection map, intensity map, interferograms and coherence maps from all available historical datasets were generated. The satellite configuration that gives the best coherence and least geometric distortion with the given budget was selected for the monitoring project. For this project, it was the X-band COSMO stripmap with 3 m resolution and eight-days revisit time. To answer the second question, a multi-temporal InSAR (MTInSAR) was applied to retrieve the settlement time series of the slopes along the highway. Several special techniques were applied to increase the level of confidence, i.e., dividing AoI into smaller and independent areas, using a non-linear approach, etc. Finally, fieldwork was carried out for the interpretation and validation of the results. The AoI was overall stable, though some local changes were detected by the SAR signal which were validated by the fieldwork. |
| Databáze: | OpenAIRE |
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