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Geosciences, Volume 4, Issue 2 (June 2014) – 1 article , Pages 50-72

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Article
Remote Sensing and GIS Contribution to the Investigation of Karst Landscapes in NW-Morocco
by Barbara Theilen-Willige, Halima Ait Malek, Abdessamad Charif, Fatima El Bchari and Mohamed Chaïbi
Geosciences 2014, 4(2), 50-72; https://doi.org/10.3390/geosciences4020050 - 23 Jun 2014
Cited by 39 | Viewed by 10976
Abstract
Remote sensing and geographic information system (GIS) methods were used for karst research in the coastal area of Northwest Morocco near the city of Safi in order to identify karst landscapes, to describe karst features and to detect geological structures relevant to karst [...] Read more.
Remote sensing and geographic information system (GIS) methods were used for karst research in the coastal area of Northwest Morocco near the city of Safi in order to identify karst landscapes, to describe karst features and to detect geological structures relevant to karst development. The aim of this study was to investigate the use of different satellite data, such as Landsat, RapidEye and IKONOS imagery, as well as ASTER- and SRTM-derived digital elevation models (DEMs) for the analysis of karst features. Dolines were identified by visual interpretations based on high resolution satellite imagery and aerial photographs. Digital image processing of the satellite data, such as deriving vegetation and water index images, helped to identify regions with relatively higher surface water input, where karstification processes might be more intense than in surrounding areas. ArcGIS-integrated weighted overlay tools were used for this purpose as well by aggregating of morphometric, causal factors (lowest and flattest areas) influencing the susceptibility to higher surface water input. Lineament analysis based on the different satellite data contributed to the detection of near-surface fault and fracture zones with potential influence on dissolution processes in sub-terrain waterways. Full article
(This article belongs to the Special Issue Geological Mapping and Modeling of Earth Architectures)
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