Shallow landslide susceptibility mapping: A comparison between logistic model tree, logistic regression, naïve bayes tree, artificial neural network, and support vector …
Shallow landslides damage buildings and other infrastructure, disrupt agriculture practices,
and can cause social upheaval and loss of life. As a result, many scientists study the …
and can cause social upheaval and loss of life. As a result, many scientists study the …
GIS-based machine learning algorithms for gully erosion susceptibility mapping in a semi-arid region of Iran
X Lei, W Chen, M Avand, S Janizadeh, N Kariminejad… - Remote Sensing, 2020 - mdpi.com
In the present study, gully erosion susceptibility was evaluated for the area of the Robat Turk
Watershed in Iran. The assessment of gully erosion susceptibility was performed using four …
Watershed in Iran. The assessment of gully erosion susceptibility was performed using four …
A review of 20-year applications of multi-attribute decision-making in environmental and water resources planning and management
Multi-attribute decision-making (MADM) is an umbrella term to describe a series of
mathematical frameworks that, in essence, enable the decision-makers to evaluate the …
mathematical frameworks that, in essence, enable the decision-makers to evaluate the …
A GIS-based tool for probabilistic physical modelling and prediction of landslides: GIS-FORM landslide susceptibility analysis in seismic areas
Landslide is regarded as one of the most prevalent and destroying geological hazards in
natural terrain areas. Reliable landslide susceptibility analysis procedures are vital for …
natural terrain areas. Reliable landslide susceptibility analysis procedures are vital for …
Landslide susceptibility assessment by novel hybrid machine learning algorithms
: Landslides have multidimensional effects on the socioeconomic as well as environmental
conditions of the impacted areas. The aim of this study is the spatial prediction of landslide …
conditions of the impacted areas. The aim of this study is the spatial prediction of landslide …
Morphometric analysis and watershed prioritization in relation to soil erosion in Dudhnai Watershed
Morphologic parameters of a watershed could help in segregating critical sub-watersheds
for taking up conservation practices and mitigation interventions. Determination of critical …
for taking up conservation practices and mitigation interventions. Determination of critical …
Shallow landslide susceptibility mapping by random forest base classifier and its ensembles in a semi-arid region of Iran
We generated high-quality shallow landslide susceptibility maps for Bijar County, Kurdistan
Province, Iran, using Random Forest (RAF), an ensemble computational intelligence method …
Province, Iran, using Random Forest (RAF), an ensemble computational intelligence method …
GIS-based gully erosion susceptibility mapping: a comparison of computational ensemble data mining models
Gully erosion destroys agricultural and domestic grazing land in many countries, especially
those with arid and semi-arid climates and easily eroded rocks and soils. It also generates …
those with arid and semi-arid climates and easily eroded rocks and soils. It also generates …
[HTML][HTML] Drainage morphometry based sub-watershed prioritization of Kalinadi basin using geospatial technology
A Bharath, KK Kumar, R Maddamsetty… - Environmental …, 2021 - Elsevier
Watershed management is an essential part to achieve sustainability. In the case of large
watersheds, management and conservation practices cannot be implemented efficiently …
watersheds, management and conservation practices cannot be implemented efficiently …
New ensemble models for shallow landslide susceptibility modeling in a semi-arid watershed
We prepared a landslide susceptibility map for the Sarkhoon watershed, Chaharmahal-w-
bakhtiari, Iran, using novel ensemble artificial intelligence approaches. A classifier of …
bakhtiari, Iran, using novel ensemble artificial intelligence approaches. A classifier of …