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Hannah Kerner
Observed name:
Kerner, Hannah
Institutions:
Geospatial Research (United Kingdom),
Arizona State University
Observed institutions:
Geospatial Research (United Kingdom),
Arizona State University
OpenAlex ID:
A5125567444
GEO-Bench: Toward Foundation Models for Earth Monitoring
2023
·
Alexandre Lacoste
, Nils Lehmann
, et al.
·
neural information processing systems
·
40
PDF
Machine Learning for Planetary Science
2022
·
Helbert, Jörn 1968-
, D'Amore, Mario
, et al.
·
Elsevier eBooks
·
7
No One Knows the State of the Art in Geospatial Foundation Models
2026
·
Corley, Isaac
, Lehmann, Nils
, et al.
·
arXiv (Cornell University)
·
2
PDF
The first global agricultural field boundary map at 10m resolution
2026
·
Robinson, Caleb
, Muhawenayo, Gedeon
, et al.
·
arXiv (Cornell University)
·
2
PDF
MIND the Gap: A Geographic Implicit Neural Representation with Adjustable Spatial Scale
2026
·
Corley, Isaac
, Rao, Arjun
, et al.
·
arXiv (Cornell University)
PDF
Fields of the Planet: Field Boundary Mapping Beyond 10m
2026
·
Corley, Isaac
, Robinson, Caleb
, et al.
·
arXiv (Cornell University)
PDF
Field Boundaries of South America
2026
·
Tristan Grupp
, Amna Elmustafa
, et al.
PDF
Pretrain Where? Investigating How Pretraining Data Diversity Impacts Geospatial Foundation Model Performance
2026
·
Kaur, Amandeep
, Purohit, Mirali
, et al.
·
arXiv (Cornell University)
PDF
Fields of The World: A Field Guide for Extracting Agricultural Field Boundaries
2026
·
Corley, Isaac
, Kerner, Hannah
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
9
Citation count:
51
H-index:
2
I10-index:
1
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