Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping

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ID: 114465
2018
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Abstract
The main objective of this research was to introduce a novel machine learning algorithm of alternating decision tree (ADTree) based on the multiboost (MB), bagging (BA), rotation forest (RF) and random subspace (RS) ensemble algorithms under two scenarios of different sample sizes and raster resolutions for spatial prediction of shallow landslides around Bijar City, Kurdistan Province, Iran. The evaluation of modeling process was checked by some statistical measures and area under the receiver operating characteristic curve (AUROC). Results show that, for combination of sample sizes of 60%/40% and 70%/30% with a raster resolution of 10 m, the RS model, while, for 80%/20% and 90%/10% with a raster resolution of 20 m, the MB model obtained a high goodness-of-fit and prediction accuracy. The RS-ADTree and MB-ADTree ensemble models outperformed the ADTree model in two scenarios. Overall, MB-ADTree in sample size of 80%/20% with a resolution of 20 m (area under the curve (AUC) = 0.942) and sample size of 60%/40% with a resolution of 10 m (AUC = 0.845) had the highest and lowest prediction accuracy, respectively. The findings confirm that the newly proposed models are very promising alternative tools to assist planners and decision makers in the task of managing landslide prone areas.
Reference Key
shirzadi2018sensorsnovel Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Ataollah Shirzadi;Karim Soliamani;Mahmood Habibnejhad;Ataollah Kavian;Kamran Chapi;Himan Shahabi;Wei Chen;Khabat Khosravi;Binh Thai Pham;Biswajeet Pradhan;Anuar Ahmad;Baharin Bin Ahmad;Dieu Tien Bui;Shirzadi, Ataollah;Soliamani, Karim;Habibnejhad, Mahmood;Kavian, Ataollah;Chapi, Kamran;Shahabi, Himan;Chen, Wei;Khosravi, Khabat;Thai Pham, Binh;Pradhan, Biswajeet;Ahmad, Anuar;Bin Ahmad, Baharin;Tien Bui, Dieu;
Journal sensors
Year 2018
DOI
10.3390/s18113777
URL
https://www.mdpi.com/1424-8220/18/11/3777
Keywords
Iran gis machine learning algorithms landslide alternating decision tree National Center for Biotechnology Information NCBI NLM MEDLINE pubmed abstract nih national institutes of health national library of medicine ataollah shirzadi dieu tien bui pmid:30400627 pmc6263474 doi:10.3390/s18113777 karim soliamani

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