Soil and bedrock distribution estimated from gully form and frequency: A GIS-based decision-tree model for Lebanon

RB Kheir, J Chorowicz, C Abdallah, D Dhont - Geomorphology, 2008 - Elsevier
RB Kheir, J Chorowicz, C Abdallah, D Dhont
Geomorphology, 2008Elsevier
Torrential rainfall and relatively sparse vegetation in the Mediterranean region result in the
development of gully systems and land degradation, notably on lands with specific types of
soil and bedrock. This paper proposes a decision-tree model to predict the distribution of soil
and bedrock susceptible to gully erosion (white Rendzinas and marly rocks) from the form
and frequency of gullies. The study area is located in Lebanon and the model is linked to
GIS. V-fold cross-validation of the pruned model indicates that gully features including cross …
Torrential rainfall and relatively sparse vegetation in the Mediterranean region result in the development of gully systems and land degradation, notably on lands with specific types of soil and bedrock. This paper proposes a decision-tree model to predict the distribution of soil and bedrock susceptible to gully erosion (white Rendzinas and marly rocks) from the form and frequency of gullies. The study area is located in Lebanon and the model is linked to GIS. V-fold cross-validation of the pruned model indicates that gully features including cross-section size and shape, network frequency, types of meandering, and catchment area can explain 80% of variance in soil/rock properties. The overall accuracy of the soil/rock map was estimated to be ca. 87%. The proposed model is relatively simple, and may also be applied to other areas. It is particularly useful when information about soil and rock obtained from conventional field surveys is limited.
Elsevier
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