Ontology highlight
ABSTRACT:
SUBMITTER: Hooijer A
PROVIDER: S-EPMC8242013 | biostudies-literature | 2021 Jun
REPOSITORIES: biostudies-literature
Nature communications 20210629 1
Coastal 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 km<sup>2</sup> or 62% is in the tropics. Even assuming a low-end re ...[more]