Samantha T. Arundel

21 papers Journal 15Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
GIScience in the Era of Artificial Intelligence: A Research Agenda Towards Autonomous GIS.
CoRR
Zhenlong Li, Huan Ning, Song Gao, Krzysztof Janowicz, Wenwen Li, Samantha T. Arundel, Chaowei Yang, Budhendra Bhaduri, Shaowen Wang, A-Xing Zhu, Mark Gahegan, Shashi Shekhar, Xinyue Ye, Grant McKenzie, Guido Cervone, Michael E. Hodgson
2025 J jnl
GIScience in the era of Artificial Intelligence: a research agenda towards Autonomous GIS.
Ann. GIS
Zhenlong Li, Huan Ning, Song Gao, Krzysztof Janowicz, Wenwen Li, Samantha T. Arundel, Chaowei Yang, Budhendra Bhaduri, Shaowen Wang, A-Xing Zhu, Mark Gahegan, Shashi Shekhar, Xinyue Ye, Grant McKenzie, Guido Cervone, Michael E. Hodgson
2024 — ed.
Proceedings of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2024, Atlanta, GA, USA, 29 October 2024 - 1 November 2024
GeoAI@SIGSPATIAL
Song Gao, Gengchen Mai, Shawn D. Newsam, Lexie Yang, Dalton D. Lunga, Di Zhu, Bruno Martins, Samantha T. Arundel
2024 J jnl
Report of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI 2024).
ACM SIGSPATIAL Special
Song Gao, Gengchen Mai, Shawn D. Newsam, Lexie Yang, Dalton D. Lunga, Di Zhu, Bruno Martins, Samantha T. Arundel
2024 J jnl
Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping.
CoRR
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
2024 J jnl
Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping.
Remote. Sens.
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
2023 J jnl
A guide to creating an effective big data management framework.
J. Big Data
Samantha T. Arundel, Kevin G. McKeehan, Bryan B. Campbell, Andrew N. Bulen, Philip Thiem
2023 J jnl
Assessment of IBM and NASA's geospatial foundation model in flood inundation mapping.
CoRR
Wenwen Li, Hyunho Lee, Sizhe Wang, Chia-Yu Hsu, Samantha T. Arundel
2023 — conf
Assessment of a new GeoAI foundation model for flood inundation mapping.
GeoAI@SIGSPATIAL
Wenwen Li, Hyunho Lee, Sizhe Wang, Chia-Yu Hsu, Samantha T. Arundel
2023 J jnl
Correction to: GeoImageNet: a multi-source natural feature benchmark dataset for GeoAI and supervised machine learning.
GeoInformatica
Wenwen Li, Sizhe Wang, Samantha T. Arundel, Chia-Yu Hsu
2023 J jnl
GeoImageNet: a multi-source natural feature benchmark dataset for GeoAI and supervised machine learning.
GeoInformatica
Wenwen Li, Sizhe Wang, Samantha T. Arundel, Chia-Yu Hsu
2023 — conf
Reimagining standardization and geospatial interoperability in today's GeoAI culture.
GeoAI@SIGSPATIAL
Samantha T. Arundel, Wenwen Li, Bryan B. Campbell
2022 J jnl
GeoAI in the US Geological Survey for topographic mapping.
Trans. GIS
E. Lynn Usery, Samantha T. Arundel, Ethan Shavers, Lawrence V. Stanislawski, Philip Thiem, Dalia Varanka
2020 J jnl
Automated location correction and spot height generation for named summits in the coterminous United States.
Int. J. Digit. Earth
Samantha T. Arundel, Gaurav Sinha
2020 J jnl
GeoNat v1.0: A dataset for natural feature mapping with artificial intelligence and supervised learning.
Trans. GIS
Samantha T. Arundel, Wenwen Li, Sizhe Wang
2019 J jnl
A spatio-contextual probabilistic model for extracting linear features in hilly terrains from high-resolution DEM data.
Int. J. Geogr. Inf. Sci.
Xiran Zhou, Wenwen Li, Samantha T. Arundel
2018 J jnl
Deep Convolutional Neural Networks for Map-Type Classification.
CoRR
Xiran Zhou, Wenwen Li, Samantha T. Arundel, Jun Liu
2018 — conf
The Landform Reference Ontology (LFRO): A Foundation for Exploring Linguistic and Geospatial Conceptualization of Landforms (Short Paper).
GIScience
Gaurav Sinha, Samantha T. Arundel, Torsten Hahmann, E. Lynn Usery, Kathleen Stewart, David M. Mark
2018 J jnl
The effect of resolution on terrain feature extraction.
PeerJ Prepr.
Samantha T. Arundel, Wenwen Li, Xiran Zhou
2017 — conf
A Reference Landform Ontology for Automated Delineation of Depression Landforms from DEMs.
COSIT (Workshops/Posters)
Gaurav Sinha, Samantha T. Arundel, Kathleen Stewart, David M. Mark, Torsten Hahmann, Boleslo E. Romero, Alexandre Sorokine, E. Lynn Usery, Grant McKenzie
2017 — conf
Validating GEOBIA Based Terrain Segmentation and Classification for Automated Delineation of Cognitively Salient Landforms.
COSIT (Workshops/Posters)
Samantha T. Arundel, Gaurav Sinha