PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 16, 2026SHILAP Revista de lepidopterología0 citationsOpen Access

A regional seabed geomorphological map over part of the southwestern pacific plate

View Full Paper
JPJohn ParianosRBRima BrowneJUJoyce Uan

Key Points

  • This research aims to interpret the seabed geomorphology of the southwestern Pacific Plate using various data sets.
  • Utilized GEBCO global bathymetric product alongside magnetic anomaly and vertical gravity gradient data.
  • Performed manual interpretation to define geomorphic units including abyssal plains and volcanic chains.
  • Mapped approximately 24.7 million km² at a scale of 1:3,000,000.
  • Identified various seabed geomorphic units including basins, plateaus, and faults.
  • Described the geographical disposition of these units in the context of existing literature.
  • Highlighted potential applications in environmental management and mineral resource estimation.

Abstract

We use the GEBCO global bathymetric product alongside other data sets, including magnetic anomaly and vertical gravity gradient, to interpret the seabed geomorphology of approximately 24.7 million km2 of the southwestern Pacific Plate at an effective scale of 1:3,000,000. Manual interpretation was performed to accurately define abyssal plain basins, plateaus, troughs, faults, tectonic and volcanic rises, volcanic chains and other geomorphic units. The resulting description of these units and their geographical disposition, placed in the context of current scientific literature, contributes to our understanding of seabed composition and formational history. Other potential applications of this work include its use as a surrogate for regional habitat-type classification in environmental management, support for seabed minerals exploration, and as a constraint in mineral resource estimation.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Parianos et al. (2026) studied this question.

synapsesocial.com/papers/6992b3319b75e639e9b08099https://doi.org/10.1080/17445647.2026.2627733
Ask AI
Helpful
Bookmark
Share
View Full Paper