Non-affine georectification to improve the topographic fidelity of legacy geologic maps

Yichuan Zhu, Jason M. Dortch, William C. Haneberg

Research output: Contribution to journalArticlepeer-review

Abstract

Field-based geologic maps, which are among the most valuable tools of communication among geoscientists, can be expensive and time-consuming to produce or manually revise. We have found that some geologic maps faithful to the topographic maps available at the time the geologic maps were made can have discrepancies with modern digital elevation models produced using airborne lidar. For example, a resistant sandstone shown to align with a prominent set of cliffs on the original topographic base map may be noticeably distant from the same cliffs on the modern digital elevation model. We describe a workflow for the registration of legacy geologic map raster images to modern digital elevation models based on non-affine transformation of a legacy digital elevation model serving as a proxy for the analog topographic contours shown on the geologic map. We demonstrate our approach using three 1960s era 7.5′ geologic quadrangle maps and early generation digital elevation models digitized from photogrammetric contours of similar vintage, showing that the method yields improved fidelity between the legacy geologic map and obvious topographic features as depicted on modern lidar digital elevation models, thus improving the long-term utility and value of the geologic map data.

Original languageEnglish
Article number103127
JournalInternational Journal of Applied Earth Observation and Geoinformation
Volume115
DOIs
StatePublished - Dec 2022

Bibliographical note

Funding Information:
This work was funded by U.S. Geological Survey Cooperative Agreement G20AC00416 and the Kentucky Geological Survey, a research center within the University of Kentucky. We appreciate the administrative support provided by Joe East (USGS) and Kati Ellis (KGS) along with technical support and insights from Demetrio Zourarakis (UK), William Andrews, and Emily Morris (KGS).

Funding Information:
This work was funded primarily through U.S. Geological Survey Cooperative Agreement G20AC00416. Additional support came from the Kentucky Geological Survey recurring budget administered through the University of Kentucky.

Funding Information:
This work was funded by U.S. Geological Survey Cooperative Agreement G20AC00416 and the Kentucky Geological Survey, a research center within the University of Kentucky. We appreciate the administrative support provided by Joe East (USGS) and Kati Ellis (KGS) along with technical support and insights from Demetrio Zourarakis (UK), William Andrews, and Emily Morris (KGS). This work was funded primarily through U.S. Geological Survey Cooperative Agreement G20AC00416. Additional support came from the Kentucky Geological Survey recurring budget administered through the University of Kentucky. The Kentucky geologic map data used in this paper are freely available through the Kentucky Geological Survey website ( http://kgs.uky.edu) as GIS-compatible files. The statewide lidar point cloud and hydro-corrected DEM files derived from the point cloud are freely available through the Kentucky From Above program website ( http://kyfromabove.ky.gov). Any additional queries may be directed to the corresponding author. The computational code related to this article can be found at https://github.com/Geoelastix-dev/Geoelastix, an open-source online repository hosted by GitHub.

Publisher Copyright:
© 2022

Keywords

  • Digital elevation model
  • Geologic map
  • GIS
  • Image registration
  • Non-affine transformation
  • Remote sensing

ASJC Scopus subject areas

  • Global and Planetary Change
  • Earth-Surface Processes
  • Computers in Earth Sciences
  • Management, Monitoring, Policy and Law

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