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Landslide Susceptib...
Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment
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- Nhu, Viet-Ha (författare)
- Geographic Information Science Research Group, Ton Duc Thang University, Ho Chi Minh City, Vietnam. Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Vietnam
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- Mohammadi, Ayub (författare)
- Department of Remote Sensing and GIS, University of Tabriz, Tabriz, Iran
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- Shahabi, Himan (författare)
- Department of Geomorphology, Faculty of Natural Resources, University of Kurdistan, Sanandaj, Iran. Department of Zrebar Lake Environmental Research, Kurdistan Studies Institute, University of Kurdistan, Sanandaj 66177-15175, Iran
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- Ahmad, Baharin Bin (författare)
- Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia (UTM), Johor Bahru, Malaysia
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- Al-Ansari, Nadhir, 1947- (författare)
- Luleå tekniska universitet,Geoteknologi
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- Shirzadi, Ataollah (författare)
- Department of Rangeland and Watershed Management, Faculty of Natural Resources, University of Kurdistan, Sanandaj, Iran
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- Clague, John J. (författare)
- Department of Earth Sciences, Simon Fraser University, 8888 University Drive, Burnaby, Canada
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- Jaafari, Abolfazl (författare)
- Research Institute of Forests and Rangelands, Agricultural Research, Education, and Extension Organization (AREEO), Tehran, Iran
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- Chen, Wei (författare)
- College of Geology & Environment, Xi’an University of Science and Technology, Xi’an, China. Key Laboratory of Coal Resources Exploration and Comprehensive Utilization, Ministry of Natural Resources, Xi’an, Shaanxi, China
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- Nguyen, Hoang (författare)
- Institute of Research and Development, Duy Tan University, Da Nang, Vietnam
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Geographic Information Science Research Group, Ton Duc Thang University, Ho Chi Minh City, Vietnam Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Vietnam Department of Remote Sensing and GIS, University of Tabriz, Tabriz, Iran (creator_code:org_t)
- 2020-07-08
- 2020
- Engelska.
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Ingår i: International Journal of Environmental Research and Public Health. - Switzerland : MDPI. - 1661-7827 .- 1660-4601. ; 17:14
- Relaterad länk:
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https://ltu.diva-por... (primary) (Raw object)
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https://www.mdpi.com...
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https://urn.kb.se/re...
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https://doi.org/10.3...
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Abstract
Ämnesord
Stäng
- We used AdaBoost (AB), alternating decision tree (ADTree), and their combination as an ensemble model (AB-ADTree) to spatially predict landslides in the Cameron Highlands, Malaysia. The models were trained with a database of 152 landslides compiled using Synthetic Aperture Radar Interferometry, Google Earth images, and field surveys, and 17 conditioning factors (slope, aspect, elevation, distance to road, distance to river, proximity to fault, road density, river density, normalized difference vegetation index, rainfall, land cover, lithology, soil types, curvature, profile curvature, stream power index, and topographic wetness index). We carried out the validation process using the area under the receiver operating characteristic curve (AUC) and several parametric and non-parametric performance metrics, including positive predictive value, negative predictive value, sensitivity, specificity, accuracy, root mean square error, and the Friedman and Wilcoxon sign rank tests. The AB model (AUC = 0.96) performed better than the ensemble AB-ADTree model (AUC = 0.94) and successfully outperformed the ADTree model (AUC = 0.59) in predicting landslide susceptibility. Our findings provide insights into the development of more efficient and accurate landslide predictive models that can be used by decision makers and land-use managers to mitigate landslide hazards.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Samhällsbyggnadsteknik -- Geoteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Civil Engineering -- Geotechnical Engineering (hsv//eng)
Nyckelord
- machine learning
- AdaBoost
- alternating decision tree
- ensemble model
- Cameron Highlands
- Malaysia
- Soil Mechanics
- Geoteknik
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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Till lärosätets databas
- Av författaren/redakt...
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Nhu, Viet-Ha
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Mohammadi, Ayub
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Shahabi, Himan
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Ahmad, Baharin B ...
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Al-Ansari, Nadhi ...
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Shirzadi, Ataoll ...
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visa fler...
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Clague, John J.
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Jaafari, Abolfaz ...
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Chen, Wei
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Nguyen, Hoang
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visa färre...
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- TEKNIK OCH TEKNOLOGIER
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TEKNIK OCH TEKNO ...
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