A hybrid model using machine learning methods and GIS for potential rockfall source identification from airborne laser scanning data

AM Fanos, B Pradhan, S Mansor, ZM Yusoff… - Landslides, 2018 - Springer
The main objectives of this paper are to design and evaluate a hybrid approach based on
Gaussian mixture model (GMM) and random forest (RF) for detecting rockfall source areas
using airborne laser scanning data. The former model was used to calculate automatically
slope angle thresholds for different type of landslides such as shallow, translational,
rotational, rotational-translational, complex, debris flow, and rockfalls. After calculating the
slope angle thresholds, a homogenous morphometric land use area (HMLA) was …

A hybrid model using machine learning methods and GIS for potential rockfall source identification from airborne laser scanning data.

AMF Ali Mutar Fanos, BP Biswajeet Pradhan… - 2018 - cabidigitallibrary.org
The main objectives of this paper are to design and evaluate a hybrid approach based on
Gaussian mixture model (GMM) and random forest (RF) for detecting rockfall source areas
using airborne laser scanning data. The former model was used to calculate automatically
slope angle thresholds for different type of landslides such as shallow, translational,
rotational, rotational-translational, complex, debris flow, and rockfalls. After calculating the
slope angle thresholds, a homogenous morphometric land use area (HMLA) was …
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