How far spatial resolution affects the ensemble machine learning based flood susceptibility prediction in data sparse region-Reference-Cited by-同舟云学术

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How far spatial resolution affects the ensemble machine learning based flood susceptibility prediction in data sparse region

Published:2021-11 Issue: Volume:297 Page:113344
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Saha Tamal Kanti,Pal Swades,Talukdar Swapan,Debanshi Sandipta,Khatun Rumki,Singha Pankaj,Mandal Indrajit

Funder

National Aeronautics and Space Administration

U.S. Geological Survey

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Waste Management and Disposal,General Medicine,Environmental Engineering

Reference121 articles.

1. Effects of natural disasters on social and economic well being: a study in Nigeria;Adeagbo;Int. J. Disaster Risk reduc.,2016

2. Global projections of river flood risk in a warmer world;Alfieri;Earth's Future,2017

3. Integrated high-resolution dataset of high-intensity European and Mediterranean flash floods;Amponsah;Earth Syst. Sci. Data,2018

4. Flash flood susceptibility modelling using functional tree and hybrid ensemble techniques;Arabameri;J. Hydrol.,2020

5. Incorporating multi-criteria decision-making and fuzzy-value functions for flood susceptibility assessment;Azareh;Geocarto Int.,2019

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