Please use this identifier to cite or link to this item: https://doi.org/10.1038/s41467-021-23810-9
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dc.titleGlobal LiDAR land elevation data reveal greatest sea-level rise vulnerability in the tropics
dc.contributor.authorHooijer, A.
dc.contributor.authorVernimmen, R.
dc.date.accessioned2022-10-26T09:03:03Z
dc.date.available2022-10-26T09:03:03Z
dc.date.issued2021-06-29
dc.identifier.citationHooijer, A., Vernimmen, R. (2021-06-29). Global LiDAR land elevation data reveal greatest sea-level rise vulnerability in the tropics. Nature Communications 12 (1) : 3592. ScholarBank@NUS Repository. https://doi.org/10.1038/s41467-021-23810-9
dc.identifier.issn2041-1723
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/233568
dc.description.abstractCoastal flood risk assessments require accurate land elevation data. Those to date existed only for limited parts of the world, which has resulted in high uncertainty in projections of land area at risk of sea-level rise (SLR). Here we have applied the first global elevation model derived from satellite LiDAR data. We find that of the worldwide land area less than 2 m above mean sea level, that is most vulnerable to SLR, 649,000 km2 or 62% is in the tropics. Even assuming a low-end relative SLR of 1 m by 2100 and a stable lowland population number and distribution, the 2020 population of 267 million on such land would increase to at least 410 million of which 72% in the tropics and 59% in tropical Asia alone. We conclude that the burden of current coastal flood risk and future SLR falls disproportionally on tropical regions, especially in Asia. © 2021, The Author(s).
dc.publisherNature Research
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceScopus OA2021
dc.typeArticle
dc.contributor.departmentNUS ENVIRONMENTAL RESEARCH INSTITUTE
dc.description.doi10.1038/s41467-021-23810-9
dc.description.sourcetitleNature Communications
dc.description.volume12
dc.description.issue1
dc.description.page3592
dc.published.statePublished
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