Samantha T. Arundel

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 17

Top Topics

Feature Mapping

Soft Clustering

Supervised Machine Learning

Data Management

Top Venues

COSIT (Workshops/Posters)

GeoAI@SIGSPATIAL

Publications

Wenwen Li, Chia-Yu Hsu, Sizhe Wang, Yezhou Yang, Hyunho Lee, Anna Liljedahl, Chandi Witharana, Yili Yang, Brendan M. Rogers, Samantha T. Arundel, Matthew B. Jones, Kenton McHenry, Patricia Solís
Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping. Remote. Sens. 16 (5) (2024)
Wenwen Li, Chia-Yu Hsu, Sizhe Wang, Yezhou Yang, Hyunho Lee, Anna Liljedahl, Chandi Witharana, Yili Yang, Brendan M. Rogers, Samantha T. Arundel, Matthew B. Jones, Kenton McHenry, Patricia Solís
Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping. CoRR (2024)
Wenwen Li, Hyunho Lee, Sizhe Wang, Chia-Yu Hsu, Samantha T. Arundel
Assessment of a new GeoAI foundation model for flood inundation mapping. GeoAI@SIGSPATIAL (2023)
Samantha T. Arundel, Wenwen Li, Bryan B. Campbell
Reimagining standardization and geospatial interoperability in today's GeoAI culture. GeoAI@SIGSPATIAL (2023)
Samantha T. Arundel, Kevin G. McKeehan, Bryan B. Campbell, Andrew N. Bulen, Philip Thiem
A guide to creating an effective big data management framework. J. Big Data 10 (1) (2023)
Wenwen Li, Hyunho Lee, Sizhe Wang, Chia-Yu Hsu, Samantha T. Arundel
Assessment of IBM and NASA's geospatial foundation model in flood inundation mapping. CoRR (2023)
Wenwen Li, Sizhe Wang, Samantha T. Arundel, Chia-Yu Hsu
GeoImageNet: a multi-source natural feature benchmark dataset for GeoAI and supervised machine learning. GeoInformatica 27 (3) (2023)
Wenwen Li, Sizhe Wang, Samantha T. Arundel, Chia-Yu Hsu
Correction to: GeoImageNet: a multi-source natural feature benchmark dataset for GeoAI and supervised machine learning. GeoInformatica 27 (3) (2023)
E. Lynn Usery, Samantha T. Arundel, Ethan Shavers, Lawrence V. Stanislawski, Philip Thiem, Dalia Varanka
GeoAI in the US Geological Survey for topographic mapping. Trans. GIS 26 (1) (2022)
Samantha T. Arundel, Wenwen Li, Sizhe Wang
GeoNat v1.0: A dataset for natural feature mapping with artificial intelligence and supervised learning. Trans. GIS 24 (3) (2020)
Samantha T. Arundel, Gaurav Sinha
Automated location correction and spot height generation for named summits in the coterminous United States. Int. J. Digit. Earth 13 (12) (2020)
Xiran Zhou, Wenwen Li, Samantha T. Arundel
A spatio-contextual probabilistic model for extracting linear features in hilly terrains from high-resolution DEM data. Int. J. Geogr. Inf. Sci. 33 (4) (2019)
Xiran Zhou, Wenwen Li, Samantha T. Arundel, Jun Liu
Deep Convolutional Neural Networks for Map-Type Classification. CoRR (2018)
Gaurav Sinha, Samantha T. Arundel, Torsten Hahmann, E. Lynn Usery, Kathleen Stewart, David M. Mark
The Landform Reference Ontology (LFRO): A Foundation for Exploring Linguistic and Geospatial Conceptualization of Landforms (Short Paper). GIScience (2018)
Samantha T. Arundel, Wenwen Li, Xiran Zhou
The effect of resolution on terrain feature extraction. PeerJ Prepr. 6 (2018)
Samantha T. Arundel, Gaurav Sinha
Validating GEOBIA Based Terrain Segmentation and Classification for Automated Delineation of Cognitively Salient Landforms. COSIT (Workshops/Posters) (2017)
Gaurav Sinha, Samantha T. Arundel, Kathleen Stewart, David M. Mark, Torsten Hahmann, Boleslo E. Romero, Alexandre Sorokine, E. Lynn Usery, Grant McKenzie
A Reference Landform Ontology for Automated Delineation of Depression Landforms from DEMs. COSIT (Workshops/Posters) (2017)