文献
J-GLOBAL ID:202102235918246391
整理番号:21A2453579
機械学習に基づく地滑り感受性マッピングにおける空間合意の改善【JST・京大機械翻訳】
Improving Spatial Agreement in Machine Learning-Based Landslide Susceptibility Mapping
著者 (8件):
Adnan Mohammed Sarfaraz Gani
(Environmental Change Institute, School of Geography and the Environment, University of Oxford, South Parks Road, Oxford OX13QY, UK)
,
Adnan Mohammed Sarfaraz Gani
(Department of Urban and Regional Planning, Chittagong University of Engineering and Technology (CUET), Chittagong 4349, Bangladesh)
,
Rahman Md Salman
(Department of Civil Engineering, Chittagong University of Engineering and Technology (CUET), Chittagong 4349, Bangladesh)
,
Ahmed Nahian
(Department of Electrical and Computer Engineering, North South University, Bashundhara, Dhaka 1229, Bangladesh)
,
Ahmed Bayes
(Institute for Risk and Disaster Reduction (IRDR), University College London (UCL), Gower Street, London WC1E 6BT, UK)
,
Ahmed Bayes
(Department of Disaster Science and Management, Faculty of Earth and Environmental Sciences, University of Dhaka, Dhaka 1000, Bangladesh)
,
Rabbi Md. Fazleh
(Department of Geography and Environmental Studies, University of Chittagong, Chittagong 4331, Bangladesh)
,
Rahman Rashedur M.
(Department of Electrical and Computer Engineering, North South University, Bashundhara, Dhaka 1229, Bangladesh)
資料名:
Remote Sensing (Web)
(Remote Sensing (Web))
巻:
12
号:
20
ページ:
3347
発行年:
2020年
JST資料番号:
U7270A
ISSN:
2072-4292
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)