文献
J-GLOBAL ID:202202242579153865
整理番号:22A0324232
雪崩感受性マッピングのためのGISに基づく新規ハイブリッドモデルの評価:比較研究【JST・京大機械翻訳】
Evaluating novel hybrid models based on GIS for snow avalanche susceptibility mapping: A comparative study
著者 (6件):
Yariyan Peyman
(Department of Surveying Engineering, Saghez Branch, Islamic Azad University, Saghez, Iran)
,
Omidvar Ebrahim
(Department of Rangeland and Watershed Management, Faculty of Natural Resources and Earth Sciences, University of Kashan, Kashan 87317-53153, Iran)
,
Karami Mohammadreza
(Department of Social Science, Faculty of Humanities and Social Sciences, Payame Noor University, Tehran, Iran)
,
Cerda Artemi
(Soil Erosion and Degradation Research Group. Department of Geography, Valencia University, BlascoIbanez, 28, 46010, Valencia, Spain)
,
Pham Quoc Bao
(Institute of Applied Technology, Thu Dau Mot University, Binh Duong province, Vietnam)
,
Tiefenbacher John P.
(Department of Geography and Environmental Studies, Texas State University, San Marcos, TX 78666, United States)
資料名:
Cold Regions Science and Technology
(Cold Regions Science and Technology)
巻:
194
ページ:
Null
発行年:
2022年
JST資料番号:
A0504B
ISSN:
0165-232X
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)