Geomorphometric Analysis of Karst Terrains
The availability of high-resolution digital elevation models (DEM) has increased the possibilities of geomorphometric analysis of karst terrains. Apart from the classical terrain parameters (distribution of elevations, slopes, orientations, curvature, etc.), there have been developments of new algor...
| Autores: | , , , |
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| Tipo de documento: | outro |
| Data de publicação: | 2017 |
| País: | España |
| Recursos: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositório: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/277688 |
| Acesso em linha: | http://hdl.handle.net/10261/277688 https://doi.org/10.1007/978-3-319-45465-8_2 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Digital elevation models Principal Direction Main Direction Karst Spring Geological Fault |
| Resumo: | The availability of high-resolution digital elevation models (DEM) has increased the possibilities of geomorphometric analysis of karst terrains. Apart from the classical terrain parameters (distribution of elevations, slopes, orientations, curvature, etc.), there have been developments of new algorithms that expand further the possibilities of numerical terrain analysis. We present the analysis of the three main features of the karst landscape: the topographic surface, karst hills and karst depressions. Karst depressions and karst hills have been identified and delineated using the DEM and field work. We have developed a system of spatial kernel functions that allows to analyze both the relief and karst depressions and hills. The results will be compared with the main conditioning factors in the development of a karst landscape: geology (lithology and structure) and the system of discontinuities and fractures (faults, joints, etc.). We apply the methodology to the Sierra de las Nieves karst massif, and we conclude how a strong structural control has modeled the landscape. |
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