Please use this identifier to cite or link to this item: https://doi.org/10.1088/1755-1315/18/1/012060
Title: Streamflow modelling by remote sensing: A contribution to digital Earth
Authors: Tan, M.L 
Latif, A.B
Pohl, C
Duan, Z
Keywords: Remote sensing
Stream flow
Digital Earth
Improvement technique
Modelling process
Remotely sensed data
Satellite precipitation estimates
Streamflow measurements
Streamflow models
Uncertainty analysis
data set
digital image
hydrological modeling
satellite imagery
streamflow
Issue Date: 2014
Citation: Tan, 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
Rights: Attribution 4.0 International
Abstract: Remote 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.
Source Title: IOP Conference Series: Earth and Environmental Science
URI: https://scholarbank.nus.edu.sg/handle/10635/183718
ISSN: 17551307
DOI: 10.1088/1755-1315/18/1/012060
Rights: Attribution 4.0 International
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