Academic Journal

Landslide susceptibility assessment using information quantity and machine learning integrated models: a case study of Sichuan province, southwestern China

التفاصيل البيبلوغرافية
العنوان: Landslide susceptibility assessment using information quantity and machine learning integrated models: a case study of Sichuan province, southwestern China
المؤلفون: Zhao, Pengtao, Wang, Ying, Xie, Yi, Uddin, Md Galal, Xu, Zhengxuan, Chang, Xingwang, Zhang, Yunhui
المساهمون: Scientific Key R&D project of the Xizang Autonomous Region, scientific programs of Yibin City
المصدر: Earth Science Informatics ; volume 18, issue 2 ; ISSN 1865-0473 1865-0481
بيانات النشر: Springer Science and Business Media LLC
سنة النشر: 2025
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.1007/s12145-025-01700-8
DOI: 10.1007/s12145-025-01700-8.pdf
DOI: 10.1007/s12145-025-01700-8/fulltext.html
الاتاحة: https://doi.org/10.1007/s12145-025-01700-8
https://link.springer.com/content/pdf/10.1007/s12145-025-01700-8.pdf
https://link.springer.com/article/10.1007/s12145-025-01700-8/fulltext.html
Rights: https://www.springernature.com/gp/researchers/text-and-data-mining ; https://www.springernature.com/gp/researchers/text-and-data-mining
رقم الانضمام: edsbas.E263F90D
قاعدة البيانات: BASE
الوصف
DOI:10.1007/s12145-025-01700-8