M
Mehebub Sahana
Researcher at University of Manchester
Publications - 89
Citations - 2960
Mehebub Sahana is an academic researcher from University of Manchester. The author has contributed to research in topics: Environmental science & Medicine. The author has an hindex of 20, co-authored 66 publications receiving 1378 citations. Previous affiliations of Mehebub Sahana include Jamia Millia Islamia & WWF-India.
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Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan
Jie Dou,Ali P. Yunus,Dieu Tien Bui,Abdelaziz Merghadi,Mehebub Sahana,Zhongfan Zhu,Chi-Wen Chen,Khabat Khosravi,Yang Yang,Binh Thai Pham +9 more
TL;DR: It is suggested that both RF and DT models can be used in other similar non-eruption-related landslide studies in the tephra-deposited rich volcanoes, as they are capable of rapidly generating accurate and stable LSM maps for risk mitigation, management practices, and decision-making.
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Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan
Jie Dou,Ali P. Yunus,Dieu Tien Bui,Abdelaziz Merghadi,Mehebub Sahana,Zhongfan Zhu,Chi-Wen Chen,Zheng Han,Zheng Han,Binh Thai Pham +9 more
TL;DR: In this article, a landslide inventory map containing 265 landslide polygons was first interpreted from the aerial photographs and fieldwork after the September 2017 rainfall event, and the landslide susceptibility maps were validated by the area under the receiver operating characteristic curve (AUC).
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Analyzing urban spatial patterns and trend of urban growth using urban sprawl matrix: A study on Kolkata urban agglomeration, India
TL;DR: Analysis of urban spatial pattern and trend of urban growth in Kolkata urban agglomeration, India using urban sprawl matrix during 1990-2000 & 2000-2015 revealed that the built up area has increased drastically and municipalities located along the east bank of river Hooghly and surrounded byKolkata Municipal Corporation have experienced a very fast urban growth.
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Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms
Binh Thai Pham,Ataollah Shirzadi,Himan Shahabi,Ebrahim Omidvar,Sushant K. Singh,Mehebub Sahana,Dawood Talebpour Asl,Baharin Bin Ahmad,Nguyen Kim Quoc,Saro Lee +9 more
TL;DR: In this article, the authors used bagging (BA), random subspace (RS), and rotation forest (RF) with alternating decision tree (ADTree) as base classifier in the northern part of the Pithoragarh district, Uttarakhand, Himalaya, India.
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Analyzing land surface temperature distribution in response to land use/land cover change using split window algorithm and spectral radiance model in Sundarban Biosphere Reserve, India
TL;DR: In this paper, the authors utilized Landsat 5 TM and Landsat 8 OLI for analyzing land use/land cover change and its impact on land surface temperature in Sundarban Biosphere Reserve, India.