Mapping homogeneous regions for flash floods using machine learning: A case study in Jiangxi province, China-Reference-Cited by-同舟云学术

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Mapping homogeneous regions for flash floods using machine learning: A case study in Jiangxi province, China

Published:2022-04 Issue: Volume:108 Page:102717
ISSN:1569-8432
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Zhang Ruojing,Chen Yuehong,Zhang Xiaoxiang,Ma Qiang,Ren Liliang

Funder

National Natural Science Foundation of China

National Basic Research Program of China

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference56 articles.

1. Regionalization of watersheds by finite mixture models;Ahani;J. Hydrol.,2020

2. Regionalization of climate over the Argentine Pampas;Aliaga;Int. J. Climatol.,2017

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

4. An extensive comparative study of cluster validity indices;Arbelaitz;Pattern Recogn.,2013

5. A quantitative comparison of regionalization methods;Aydin;Int. J. Geograp. Informat. Sci.,2021

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