Journal
REMOTE SENSING
Volume 13, Issue 20, Pages -Publisher
MDPI
DOI: 10.3390/rs13204087
Keywords
remote sensing; karst; sinkholes; morphometry; collapse; GIS
Categories
Funding
- Europlanet project [16-EPN2-007]
- [RITM0042620-ESA-TPM4]
- [43487]
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This study focuses on the morphometric analysis of numerous collapse dolines on the Quaternary basaltic plateau of Azrou, in the Middle Atlas of Morocco, utilizing remote sensing techniques. By using tri-stereo Pleiades satellite images, accurate morphometric datasets were automatically generated, showcasing the potential of such images for rugged terrains and steep depressions.
Hundreds of large and deep collapse dolines dot the surface of the Quaternary basaltic plateau of Azrou, in the Middle Atlas of Morocco. In the absence of detailed topographic maps, the morphometric study of such a large number of features requires the use of remote sensing techniques. We present the processing, extraction, and validation of depth measurements of 89 dolines using tri-stereo Pleiades images acquired in 2018-2019 (the European Space Agency (ESA) (c) CNES 2018, distributed by Airbus DS). Satellite image-derived DEMs were field-verified using traditional mapping techniques, which showed a very good agreement between field and remote sensing measures. The high resolution of these tri-stereo images allowed to automatically generate accurate morphometric datasets not only regarding the planimetric parameters of the dolines (diameters, contours, orientation of long axes), but also for what concerns their depth and altimetric profiles. Our study demonstrates the potential of using these types of images on rugged morphologies and for the measurement of steep depressions, where traditional remote sensing techniques may be hindered by shadow zones and blind portions. Tri-stereo images might also be suitable for the measurement of deep and steep depressions (skylights and collapses) on Martian and Lunar lava flows, suitable targets for future planetary cave exploration.
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