Multi-Sensor Remote Sensing and GIS for Potential CO2 Leakage Mapping in Gundih CCUS Field

Penulis

  • Tirta Khayru Putra Universitas Pertamina image/svg+xml
  • Ridwan Rahmanto
  • Syahrbanu Syahrbanu

DOI:

https://doi.org/10.70561/geocelebes.v10i2.53140

Kata Kunci:

Caprock Integrity, Fault Fracture Density, Land Surface Temperature, Spatial Correlation, Vegetation Index

Abstrak

Geological caprock integrity is critical for preventing gas migration to the surface in carbon sequestration sites. This study evaluated surface gas escape pathways by integrating multi-sensor spatial datasets in the Gundih area, Central Java. Lineament networks were extracted from national digital elevation models (DEMNAS) to calculate Fault Fracture Density (FFD), representing structural conduits. Surface conditions and thermal anomalies were assessed independently using the Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) derived from satellite imagery. Rather than relying on weighted overlay modeling, a qualitative spatial correlation approach was utilized to evaluate the interplay between structural deformation, vegetation cover, and thermal behavior. The results indicate that high-density FFD zones predominantly align along Northwest–Southeast and Northeast–Southwest structural trends. Spatial cross-analysis reveals that localized thermal anomalies (elevated LST) coincide with high-FFD fracture zones, even in areas characterized by dense vegetation (high NDVI), potentially indicating that localized thermal responses are associated with subsurface structural pathways rather than land-surface solar exposure. These findings demonstrate that integrating FFD, NDVI, and LST without arbitrary weighting provides an objective preliminary screening baseline for prioritizing caprock containment monitoring zones in subsurface storage projects.

Biografi Penulis

  • Ridwan Rahmanto

    Lecturer at Department of Geological Engineering, Universitas Pertamina.

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Diterbitkan

2026-10-02

Terbitan

Bagian

Articles

Cara Mengutip

Multi-Sensor Remote Sensing and GIS for Potential CO2 Leakage Mapping in Gundih CCUS Field. (2026). JURNAL GEOCELEBES, 10(2), 359–370. https://doi.org/10.70561/geocelebes.v10i2.53140