Streamflow modelling by remote sensing: A contribution to digital Earth

10.1088/1755-1315/18/1/012060

Saved in:
Bibliographic Details
Main Authors: Tan, M.L, Latif, A.B, Pohl, C, Duan, Z
Other Authors: CIVIL AND ENVIRONMENTAL ENGINEERING
Format: Conference or Workshop Item
Published: 2020
Subjects:
Online Access:https://scholarbank.nus.edu.sg/handle/10635/183718
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: National University of Singapore
id sg-nus-scholar.10635-183718
record_format dspace
spelling sg-nus-scholar.10635-1837182024-04-03T09:06:25Z Streamflow modelling by remote sensing: A contribution to digital Earth Tan, M.L Latif, A.B Pohl, C Duan, Z CIVIL AND ENVIRONMENTAL ENGINEERING 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 10.1088/1755-1315/18/1/012060 IOP Conference Series: Earth and Environmental Science 18 1 12060 2020-11-19T07:18:33Z 2020-11-19T07:18:33Z 2014 Conference Paper 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 17551307 https://scholarbank.nus.edu.sg/handle/10635/183718 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20201031
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic 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
spellingShingle 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
Tan, M.L
Latif, A.B
Pohl, C
Duan, Z
Streamflow modelling by remote sensing: A contribution to digital Earth
description 10.1088/1755-1315/18/1/012060
author2 CIVIL AND ENVIRONMENTAL ENGINEERING
author_facet CIVIL AND ENVIRONMENTAL ENGINEERING
Tan, M.L
Latif, A.B
Pohl, C
Duan, Z
format Conference or Workshop Item
author Tan, M.L
Latif, A.B
Pohl, C
Duan, Z
author_sort Tan, M.L
title Streamflow modelling by remote sensing: A contribution to digital Earth
title_short Streamflow modelling by remote sensing: A contribution to digital Earth
title_full Streamflow modelling by remote sensing: A contribution to digital Earth
title_fullStr Streamflow modelling by remote sensing: A contribution to digital Earth
title_full_unstemmed Streamflow modelling by remote sensing: A contribution to digital Earth
title_sort streamflow modelling by remote sensing: a contribution to digital earth
publishDate 2020
url https://scholarbank.nus.edu.sg/handle/10635/183718
_version_ 1795374609375166464