Journal
ENVIRONMENTAL MONITORING AND ASSESSMENT
Volume 188, Issue 4, Pages -Publisher
SPRINGER
DOI: 10.1007/s10661-016-5240-4
Keywords
Logistic regression; Mass erosion; Hydrographic basin; MDE; NDVI
Categories
Funding
- Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy
- Venezuelan Organic Law for Science and Technology (LOCTI)
- Council of Scientific and Humanistic Development (CDCH) of Universidad Central de Venezuela
- Universidad de Lleida (Catalonia, Spain)
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Susceptibility to landslides in mountain areas results from the interaction of various factors related to relief formation and soil development. The assessment of landslide susceptibility has generally taken into account individual events, or it has been aimed at establishing relationships between landslide-inventory maps and maps of environmental factors, without considering that such relationships can change in space and time. In this work, temporal and space changes in landslides were analysed in six different combinations of date and geomorphological conditions, including two different geological units, in a mountainous area in the north-centre of Venezuela, in northern South America. Landslide inventories from different years were compared with a number of environmental factors by means of logistic regression analysis. The resulting equations predicted landslide susceptibility from a range of geomorphometric parameters and a vegetation index, with diverse accuracy, in the study area. The variation of the obtained models and their prediction accuracy between geological units and dates suggests that the complexity of the landslide processes and their explanatory factors changed over space and time in the studied area. This calls into question the use of a single model to evaluate landslide susceptibility over large regions.
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