Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/146024
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dc.contributor.authorPark, Edwarden_US
dc.contributor.authorMerino, Ederen_US
dc.contributor.authorLewis, Quinn W.en_US
dc.contributor.authorLindsey, Eric Ostromen_US
dc.contributor.authorYang, Xiankunen_US
dc.date.accessioned2021-01-21T06:23:21Z-
dc.date.available2021-01-21T06:23:21Z-
dc.date.issued2020-
dc.identifier.citationPark, E., Merino, E., Lewis, Q. W., Lindsey, E. O., & Yang, X. (2020). A pathway to the automated global assessment of water level in reservoirs with Synthetic Aperture Radar (SAR). Remote Sensing, 12(8), 1353-. doi:10.3390/rs12081353en_US
dc.identifier.issn2072-4292en_US
dc.identifier.urihttps://hdl.handle.net/10356/146024-
dc.description.abstractGlobal measurements of reservoir water levels are crucial for understanding Earth’s hydrological dynamics, especially in the context of global industrialization and climate change. Although radar altimetry has been used to measure the water level of some reservoirs with high accuracy, it is not yet feasible unless the water body is sufficiently large or directly located at the satellite’s nadir. This study proposes a gauging method applicable to a wide range of reservoirs using Sentinel–1 Synthetic Aperture Radar data and a digital elevation model (DEM). The method is straightforward to implement and involves estimating the mean slope–corrected elevation of points along the reservoir shoreline. We test the model on six case studies and show that the estimated water levels are accurate to around 10% error on average of independently verified values. This study represents a substantial step toward the global gauging of lakes and reservoirs of all sizes and in any location where a DEM is available.en_US
dc.description.sponsorshipNanyang Technological Universityen_US
dc.language.isoenen_US
dc.relationSUG–NAP (3/19 EP)en_US
dc.relation.ispartofRemote Sensingen_US
dc.rights© 2020 The Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en_US
dc.subjectEngineering::Environmental engineeringen_US
dc.titleA pathway to the automated global assessment of water level in reservoirs with Synthetic Aperture Radar (SAR)en_US
dc.typeJournal Articleen
dc.contributor.schoolAsian School of the Environmenten_US
dc.contributor.researchEarth Observatory of Singaporeen_US
dc.identifier.doi10.3390/rs12081353-
dc.description.versionPublished versionen_US
dc.identifier.issue8en_US
dc.identifier.volume12en_US
dc.subject.keywordsReservoiren_US
dc.subject.keywordsLakesen_US
dc.description.acknowledgementThe National Institute of Education (NIE) at Nanyang Technological University (NTU) Grant # SUG–NAP (3/19 EP) funded this research.en_US
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