Scientific Data (Jul 2023)

GNSS land subsidence observations along the northern coastline of Java, Indonesia

  • Susilo Susilo,
  • Rino Salman,
  • Wawan Hermawan,
  • Risna Widyaningrum,
  • Sidik Tri Wibowo,
  • Yustisi Ardhitasari Lumban-Gaol,
  • Irwan Meilano,
  • Sang-Ho Yun

DOI
https://doi.org/10.1038/s41597-023-02274-0
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 8

Abstract

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Abstract 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.