Please use this identifier to cite or link to this item: https://doi.org/10.1088/1755-1315/18/1/012060
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dc.titleStreamflow modelling by remote sensing: A contribution to digital Earth
dc.contributor.authorTan, M.L
dc.contributor.authorLatif, A.B
dc.contributor.authorPohl, C
dc.contributor.authorDuan, Z
dc.date.accessioned2020-11-19T07:18:33Z
dc.date.available2020-11-19T07:18:33Z
dc.date.issued2014
dc.identifier.citationTan, M.L, Latif, A.B, Pohl, C, Duan, Z (2014). Streamflow modelling by remote sensing: A contribution to digital Earth. IOP Conference Series: Earth and Environmental Science 18 (1) : 12060. ScholarBank@NUS Repository. https://doi.org/10.1088/1755-1315/18/1/012060
dc.identifier.issn17551307
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/183718
dc.description.abstractRemote sensing contributes valuable information to streamflow estimates. This paper discusses its relevance to the digital earth concept. The authors categorize the role of remote sensing in streamflow modelling and estimation. This paper emphasizes the applications and challenges of satellite-based products in streamflow modelling. Importance and application of streamflow models is firstly described. Then, different classifications of models, modelling processes and several uncertainties sources that affect models prediction are explained. In addition, we explore the advantages of satellite precipitation estimates in modelling, uncertainties in remotely sensed data and some improvement techniques. The connection, relationship and contribution of remote sensing for streamflow modelling to digital earth principle are identified. Finally, we define and illustrate the future directions and necessary developments of streamflow measurement by remote sensing. © Published under licence by IOP Publishing Ltd.
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceUnpaywall 20201031
dc.subjectRemote sensing
dc.subjectStream flow
dc.subjectDigital Earth
dc.subjectImprovement technique
dc.subjectModelling process
dc.subjectRemotely sensed data
dc.subjectSatellite precipitation estimates
dc.subjectStreamflow measurements
dc.subjectStreamflow models
dc.subjectUncertainty analysis
dc.subjectdata set
dc.subjectdigital image
dc.subjecthydrological modeling
dc.subjectsatellite imagery
dc.subjectstreamflow
dc.typeConference Paper
dc.contributor.departmentCIVIL AND ENVIRONMENTAL ENGINEERING
dc.description.doi10.1088/1755-1315/18/1/012060
dc.description.sourcetitleIOP Conference Series: Earth and Environmental Science
dc.description.volume18
dc.description.issue1
dc.description.page12060
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