GNSS land subsidence observations along the northern coastline of Java, Indonesia.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
01 Jul 2023
01 Jul 2023
Historique:
received:
27
01
2023
accepted:
30
05
2023
medline:
3
7
2023
pubmed:
2
7
2023
entrez:
1
7
2023
Statut:
epublish
Résumé
Land subsidence in cities along the northern coastline of Java has been at a worrying level. Monitoring efforts using geodetic data reveal that Jakarta, Pekalongan, Semarang, and Demak subside at least ~9x faster than the present-day rate of global sea level rise, which affects the cities' future urban viability. In this study, we publish a time series of the precise 3D displacements observed by twenty continuous Global Navigation Satellite System (GNSS) stations between 2010 and 2021. These are the first open-to-the-public and rigorously processed GNSS datasets that are useful for accurately quantifying land subsidence in the densely populated sinking cities in Java. The data also provides a way to tie other geodetic observations, such as Interferometric Synthetic Aperture Radar (InSAR), to a global reference frame in an attempt to build worldwide observations of coastal land subsidence.
Identifiants
pubmed: 37393372
doi: 10.1038/s41597-023-02274-0
pii: 10.1038/s41597-023-02274-0
pmc: PMC10314896
doi:
Types de publication
Dataset
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
421Informations de copyright
© 2023. The Author(s).
Références
Sci Total Environ. 2009 Apr 15;407(9):3129-41
pubmed: 19070888
Environ Monit Assess. 2020 Jan 16;192(2):120
pubmed: 31950386
PLoS One. 2021 Jun 9;16(6):e0250208
pubmed: 34106961
Sci Data. 2023 Jul 1;10(1):421
pubmed: 37393372