Simple-Yet-Effective SRTM DEM improvement scheme for dense urban cities using ANN and remote sensing data: Application to flood modeling

10.3390/w12030816

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Bibliographic Details
Main Authors:	Kim, D.E., Liong, S.-Y., Gourbesville, P., Andres, L., Liu, J.
Other Authors:	TROPICAL MARINE SCIENCE INSTITUTE
Format:	Article
Published:	MDPI AG 2021
Subjects:	Artificial neural network Digital elevation model Improved SRTM Remote sensing
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/199220
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-199220
record_format	dspace
spelling	sg-nus-scholar.10635-1992202023-11-01T07:45:09Z Simple-Yet-Effective SRTM DEM improvement scheme for dense urban cities using ANN and remote sensing data: Application to flood modeling Kim, D.E. Liong, S.-Y. Gourbesville, P. Andres, L. Liu, J. TROPICAL MARINE SCIENCE INSTITUTE Artificial neural network Digital elevation model Improved SRTM Remote sensing 10.3390/w12030816 Water (Switzerland) 12 3 Jan-14 2021-08-25T09:12:14Z 2021-08-25T09:12:14Z 2020 Article Kim, D.E., Liong, S.-Y., Gourbesville, P., Andres, L., Liu, J. (2020). Simple-Yet-Effective SRTM DEM improvement scheme for dense urban cities using ANN and remote sensing data: Application to flood modeling. Water (Switzerland) 12 (3) : Jan-14. ScholarBank@NUS Repository. https://doi.org/10.3390/w12030816 2073-4441 https://scholarbank.nus.edu.sg/handle/10635/199220 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ MDPI AG Scopus OA2020
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Artificial neural network Digital elevation model Improved SRTM Remote sensing
spellingShingle	Artificial neural network Digital elevation model Improved SRTM Remote sensing Kim, D.E. Liong, S.-Y. Gourbesville, P. Andres, L. Liu, J. Simple-Yet-Effective SRTM DEM improvement scheme for dense urban cities using ANN and remote sensing data: Application to flood modeling
description	10.3390/w12030816
author2	TROPICAL MARINE SCIENCE INSTITUTE
author_facet	TROPICAL MARINE SCIENCE INSTITUTE Kim, D.E. Liong, S.-Y. Gourbesville, P. Andres, L. Liu, J.
format	Article
author	Kim, D.E. Liong, S.-Y. Gourbesville, P. Andres, L. Liu, J.
author_sort	Kim, D.E.
title	Simple-Yet-Effective SRTM DEM improvement scheme for dense urban cities using ANN and remote sensing data: Application to flood modeling
title_short	Simple-Yet-Effective SRTM DEM improvement scheme for dense urban cities using ANN and remote sensing data: Application to flood modeling
title_full	Simple-Yet-Effective SRTM DEM improvement scheme for dense urban cities using ANN and remote sensing data: Application to flood modeling
title_fullStr	Simple-Yet-Effective SRTM DEM improvement scheme for dense urban cities using ANN and remote sensing data: Application to flood modeling
title_full_unstemmed	Simple-Yet-Effective SRTM DEM improvement scheme for dense urban cities using ANN and remote sensing data: Application to flood modeling
title_sort	simple-yet-effective srtm dem improvement scheme for dense urban cities using ann and remote sensing data: application to flood modeling
publisher	MDPI AG
publishDate	2021
url	https://scholarbank.nus.edu.sg/handle/10635/199220
_version_	1781792780138315776

Simple-Yet-Effective SRTM DEM improvement scheme for dense urban cities using ANN and remote sensing data: Application to flood modeling

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