Landslide hazard and susceptibility maps derived from satellite and remote sensing data using limit equilibrium analysis and machine learning model
Author
Abstract
Suggested Citation
DOI: 10.1007/s11069-022-05671-7
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Viet-Ha Nhu & Ataollah Shirzadi & Himan Shahabi & Sushant K. Singh & Nadhir Al-Ansari & John J. Clague & Abolfazl Jaafari & Wei Chen & Shaghayegh Miraki & Jie Dou & Chinh Luu & Krzysztof Górski & Binh, 2020. "Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms," IJERPH, MDPI, vol. 17(8), pages 1-30, April.
- Faraz S. Tehrani & Michele Calvello & Zhongqiang Liu & Limin Zhang & Suzanne Lacasse, 2022. "Machine learning and landslide studies: recent advances and applications," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(2), pages 1197-1245, November.
- Hamid Reza Pourghasemi & Nitheshnirmal Sadhasivam & Mahdis Amiri & Saeedeh Eskandari & M. Santosh, 2021. "Landslide susceptibility assessment and mapping using state-of-the art machine learning techniques," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(1), pages 1291-1316, August.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Daniel M. Francis & L. Sebastian Bryson, 2025. "Coupled landslide analyses through dynamic susceptibility and forecastable hazard analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(3), pages 2971-2999, February.
- K. C. Rajan & Milan Aryal & Keshab Sharma & Netra Prakash Bhandary & Richa Pokhrel & Indra Prasad Acharya, 2025. "Development of a framework for the prediction of slope stability using machine learning paradigms," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(1), pages 83-107, January.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Yimin Li & Xuanlun Deng & Peikun Ji & Yiming Yang & Wenxue Jiang & Zhifang Zhao, 2022. "Evaluation of Landslide Susceptibility Based on CF-SVM in Nujiang Prefecture," IJERPH, MDPI, vol. 19(21), pages 1-24, October.
- Esteban Bravo-López & Tomás Fernández Del Castillo & Chester Sellers & Jorge Delgado-García, 2023. "Analysis of Conditioning Factors in Cuenca, Ecuador, for Landslide Susceptibility Maps Generation Employing Machine Learning Methods," Land, MDPI, vol. 12(6), pages 1-28, May.
- Adrián G. Bruzón & Patricia Arrogante-Funes & Fátima Arrogante-Funes & Fidel Martín-González & Carlos J. Novillo & Rubén R. Fernández & René Vázquez-Jiménez & Antonio Alarcón-Paredes & Gustavo A. Alon, 2021. "Landslide Susceptibility Assessment Using an AutoML Framework," IJERPH, MDPI, vol. 18(20), pages 1-20, October.
- Deborah Simon Mwakapesa & Yimin Mao & Xiaoji Lan & Yaser Ahangari Nanehkaran, 2023. "Landslide Susceptibility Mapping Using DIvisive ANAlysis (DIANA) and RObust Clustering Using linKs (ROCK) Algorithms, and Comparison of Their Performance," Sustainability, MDPI, vol. 15(5), pages 1-20, February.
- Yuting Liu & Giordano Teza & Lorenzo Nava & Zhilu Chang & Min Shang & Debing Xiong & Simonetta Cola, 2024. "Deformation evaluation and displacement forecasting of baishuihe landslide after stabilization based on continuous wavelet transform and deep learning," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(11), pages 9649-9673, September.
- Jianfeng Sun & Tiesheng Yan & Jinshu Hu & Chao Ma & Jiajun Gao & Hui Xu, 2024. "Slope-scale landslide susceptibility assessment based on coupled models of frequency ratio and multiple regression analysis with limited historical hazards data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(1), pages 1-23, January.
- Lu Fang & Qian Wang & Jianping Yue & Yin Xing, 2023. "Analysis of Optimal Buffer Distance for Linear Hazard Factors in Landslide Susceptibility Prediction," Sustainability, MDPI, vol. 15(13), pages 1-17, June.
- Dhanya Madhu & G. K. Nithya & S. Sreekala & Maneesha Vinodini Ramesh, 2024. "Regional-scale landslide modeling using machine learning and GIS: a case study for Idukki district, Kerala, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(11), pages 9935-9956, September.
- Aadil Manzoor Nanda & Fayaz A. Lone & Pervez Ahmed, 2024. "Prediction of rainfall-induced landslide using machine learning models along highway Bandipora to Gurez road, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(7), pages 6169-6197, May.
- Hasnain Iftikhar & Murad Khan & Zardad Khan & Faridoon Khan & Huda M Alshanbari & Zubair Ahmad, 2023. "A Comparative Analysis of Machine Learning Models: A Case Study in Predicting Chronic Kidney Disease," Sustainability, MDPI, vol. 15(3), pages 1-13, February.
- Xiang Zhang & Minghui Zhang & Xin Liu & Berhanu Keno Terfa & Won-Ho Nam & Xihui Gu & Xu Zhang & Chao Wang & Jian Yang & Peng Wang & Chenghong Hu & Wenkui Wu & Nengcheng Chen, 2024. "Review on the progress and future prospects of geological disasters prediction in the era of artificial intelligence," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(13), pages 11485-11525, October.
- Hanxu Zhou & Ailan Che & Xianghua Shuai & Yanbo Cao, 2024. "Seismic vulnerability assessment model of civil structure using machine learning algorithms: a case study of the 2014 Ms6.5 Ludian earthquake," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(7), pages 6481-6508, May.
- Ying-Jen Chang & Kuo-Chuan Hung & Li-Kai Wang & Chia-Hung Yu & Chao-Kun Chen & Hung-Tze Tay & Jhi-Joung Wang & Chung-Feng Liu, 2021. "A Real-Time Artificial Intelligence-Assisted System to Predict Weaning from Ventilator Immediately after Lung Resection Surgery," IJERPH, MDPI, vol. 18(5), pages 1-14, March.
- Qing Liu & Tingting Wu & Yahong Deng & Zhiheng Liu, 2023. "SE-YOLOv7 Landslide Detection Algorithm Based on Attention Mechanism and Improved Loss Function," Land, MDPI, vol. 12(8), pages 1-19, July.
- Maela Madel L. Cahigas & Ardvin Kester S. Ong & Yogi Tri Prasetyo, 2023. "Super Typhoon Rai’s Impacts on Siargao Tourism: Deciphering Tourists’ Revisit Intentions through Machine-Learning Algorithms," Sustainability, MDPI, vol. 15(11), pages 1-29, May.
- Shengjie Rui & Zhen Guo & Wenjie Zhou, 2023. "Promoting Sustainable Marine Development: Geotechnical Engineering Problems and Environmental Guarantee Technology in Marine Space, Energy, and Resource Development," Sustainability, MDPI, vol. 15(19), pages 1-3, October.
- Gang Chen & Taorui Zeng & Dongsheng Liu & Hao Chen & Linfeng Wang & Liping Wang & Kaiqiang Zhang & Thomas Glade, 2025. "Geomorphological and Geological Characteristics Slope Unit: Advancing Township-Scale Landslide Susceptibility Assessment Strategies," Land, MDPI, vol. 14(2), pages 1-43, February.
- Prahlada V. Mittal & Rishabh Bafna & Ankush Mittal, 2023. "Unsupervised learning framework for region-based damage assessment on xBD, a large satellite imagery," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 118(2), pages 1619-1643, September.
- Ahmed Cemiloglu & Licai Zhu & Agab Bakheet Mohammednour & Mohammad Azarafza & Yaser Ahangari Nanehkaran, 2023. "Landslide Susceptibility Assessment for Maragheh County, Iran, Using the Logistic Regression Algorithm," Land, MDPI, vol. 12(7), pages 1-20, July.
- Yasser M. Khalil & Yousef A. Al-Masnay & Nabil M. Al-Areeq & Ali R. Al-Aizari & Bazel Al-Shaibah & Xingpeng Liu, 2024. "Estimating landslide hazard distribution based on machine learning and bivariate statistics in Utmah Region, Yemen," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(3), pages 2869-2907, February.
More about this item
Keywords
Satellite data; Remote sensing; Limit equilibrium; Machine learning; Geographic information system (GIS); Digital elevation map (DEM); Landslides;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:116:y:2023:i:1:d:10.1007_s11069-022-05671-7. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.