Urban land-use land-cover extraction for catchment modelling using deep learning techniques

Urban land-use land-cover extraction for catchment modelling using deep learning techniques

Throughout the world, the likelihood of floods and managing the associated risk are a concern to many catchment managers and the population residing in those catchments. Catchment modelling is a popular approach to predicting the design flood quantiles of a catchment with complex spatial characteris...

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Bibliographic Details
Main Authors:	Siming Gong, James Ball, Nicholas Surawski
Format:	Article
Language:	English
Published:	IWA Publishing 2022-03-01
Series:	Journal of Hydroinformatics
Subjects:	catchment modelling deep learning land use land cover (lulc) remote sensing
Online Access:	http://jh.iwaponline.com/content/24/2/388

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