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Enhancing Flood Simulation in Data-Limited Glacial River Basins through Hybrid Modeling and Multi-So...

Enhancing Flood Simulation in Data-Limited Glacial River Basins through Hybrid Modeling and Multi-So...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c04805aedc634987bf410a6ec4d4fc75

Enhancing Flood Simulation in Data-Limited Glacial River Basins through Hybrid Modeling and Multi-Source Remote Sensing Data

About this item

Full title

Enhancing Flood Simulation in Data-Limited Glacial River Basins through Hybrid Modeling and Multi-Source Remote Sensing Data

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2023-09, Vol.15 (18), p.4527

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Due to the scarcity of observational data and the intricate precipitation–runoff relationship, individually applying physically based hydrological models and machine learning (ML) techniques presents challenges in accurately predicting floods within data-scarce glacial river basins. To address this challenge, this study introduces an innovative hyb...

Alternative Titles

Full title

Enhancing Flood Simulation in Data-Limited Glacial River Basins through Hybrid Modeling and Multi-Source Remote Sensing Data

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_c04805aedc634987bf410a6ec4d4fc75

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c04805aedc634987bf410a6ec4d4fc75

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs15184527

How to access this item