Hank Theiss

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Research Associate Professor

University of Arkansas

Faculty Researcher

4 h-index 19 pubs 101 cited

Research Areas

Links

ORCID Research Group

OverviewAI-generated summary

Hank Theiss's research focuses on the application of remote sensing technologies and digital elevation models for landscape analysis. His work includes investigating altimetric changes in Arctic environments using historical aerial imagery, as demonstrated by his case study on the Black Mountain Alluvial Fan Complex in Canada. Theiss also examines the absolute accuracy of advanced geospatial products, such as Maxar's Worldwide 3D Textured Mesh. His publications address the technical aspects of geospatial data processing, including error propagation in satellite multi-image geometry. Theiss collaborates with Jackson Cothren and E. Menio from the University of Arkansas at Fayetteville, with whom he has co-authored multiple publications. His scholarship metrics include an h-index of 1 and 4 total publications with 2 citations.

Metrics

h-index: 4
Publications: 19
Citations: 101

Selected Publications

Using Declassified Imagery: Issues and Approaches (2026)

SSRN Electronic Journal DOI OpenAlex
Data from: Detecting altimetric changes in Arctic landscapes using historical aerial imagery-derived digital elevation models (hDEMs): Case study of the Black Mountain Alluvial Fan Complex, Canada (2025)

Open MIND DOI OpenAlex
Absolute Accuracy Assessment of Maxar's Worldwide 3D Textured Mesh (2022)

Zenodo (CERN European Organization for Nuclear Research) DOI OpenAlex
Error Propagation in Satellite Multi-Image Geometry (2021)

IEEE Transactions on Geoscience and Remote Sensing 2 citations DOI OpenAlex