Supporting Seismic Data Survey Design Through the Integration of Satellite-Based Land Cover Maps

Liang Tian*, Naveed Akram, Rocco Sedona, Nikos Savva, Morris Riedel, Gabriele Cavallaro, Eric Verschuur

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

Abstract

Seismic Imaging (SI) survey design for onshore applications faces challenges such as accessibility and poor data quality due to unexpected (near-)surface conditions. In this paper, we explore the correlation between the surface conditions provided by Land-Cover (LC) maps generated using Remote Sensing (RS) data and different settings of Seismic Processing (SP) parameters. The study involves a 2D seismic line related to geothermal exploration from the Netherlands.

Original languageEnglish
Pages4624-4627
Number of pages4
DOIs
Publication statusPublished - 2024
Event2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024 - Athens, Greece
Duration: 7 Jul 202412 Jul 2024

Conference

Conference2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024
Country/TerritoryGreece
CityAthens
Period7/07/2412/07/24

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • Deep Learning
  • Remote Sensing
  • Seismic Data Processing
  • Seismic Imaging
  • Supercomputing

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