Samantha T. Arundel

According to our database, Samantha T. Arundel authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping.

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

Remote. Sens., March, 2024

2023

A guide to creating an effective big data management framework.

Samantha T. Arundel, Kevin G. McKeehan, Bryan B. Campbell, Andrew N. Bulen, Philip Thiem

J. Big Data, December, 2023

Correction to: GeoImageNet: a multi-source natural feature benchmark dataset for GeoAI and supervised machine learning.

Wenwen Li, Sizhe Wang, Samantha T. Arundel, Chia-Yu Hsu

GeoInformatica, July, 2023

GeoImageNet: a multi-source natural feature benchmark dataset for GeoAI and supervised machine learning.

Wenwen Li, Sizhe Wang, Samantha T. Arundel, Chia-Yu Hsu

GeoInformatica, July, 2023

Assessment of IBM and NASA's geospatial foundation model in flood inundation mapping.

Wenwen Li, Hyunho Lee, Sizhe Wang, Chia-Yu Hsu, Samantha T. Arundel

CoRR, 2023

Reimagining standardization and geospatial interoperability in today's GeoAI culture.

Samantha T. Arundel, Wenwen Li, Bryan B. Campbell

Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2023

Assessment of a new GeoAI foundation model for flood inundation mapping.

Wenwen Li, Hyunho Lee, Sizhe Wang, Chia-Yu Hsu, Samantha T. Arundel

Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2023

2022

GeoAI in the US Geological Survey for topographic mapping.

E. Lynn Usery, Samantha T. Arundel, Ethan Shavers, Lawrence V. Stanislawski, Philip Thiem, Dalia Varanka

Trans. GIS, 2022

2020

GeoNat v1.0: A dataset for natural feature mapping with artificial intelligence and supervised learning.

Samantha T. Arundel, Wenwen Li, Sizhe Wang

Trans. GIS, 2020

Automated location correction and spot height generation for named summits in the coterminous United States.

Samantha T. Arundel, Gaurav Sinha

Int. J. Digit. Earth, 2020

2019

A spatio-contextual probabilistic model for extracting linear features in hilly terrains from high-resolution DEM data.

Xiran Zhou, Wenwen Li, Samantha T. Arundel

Int. J. Geogr. Inf. Sci., 2019

2018

The effect of resolution on terrain feature extraction.

Samantha T. Arundel, Wenwen Li, Xiran Zhou

PeerJ Prepr., 2018

Deep Convolutional Neural Networks for Map-Type Classification.

Xiran Zhou, Wenwen Li, Samantha T. Arundel, Jun Liu

CoRR, 2018

The Landform Reference Ontology (LFRO): A Foundation for Exploring Linguistic and Geospatial Conceptualization of Landforms (Short Paper).

Gaurav Sinha, Samantha T. Arundel, Torsten Hahmann, E. Lynn Usery, Kathleen Stewart, David M. Mark

Proceedings of the 10th International Conference on Geographic Information Science, 2018

2017

A Reference Landform Ontology for Automated Delineation of Depression Landforms from DEMs.

Gaurav Sinha, Samantha T. Arundel, Kathleen Stewart, David M. Mark, Torsten Hahmann, Boleslo E. Romero, Alexandre Sorokine, E. Lynn Usery, Grant McKenzie

Proceedings of Workshops and Posters at the 13th International Conference on Spatial Information Theory, 2017

Validating GEOBIA Based Terrain Segmentation and Classification for Automated Delineation of Cognitively Salient Landforms.

Samantha T. Arundel, Gaurav Sinha

Proceedings of Workshops and Posters at the 13th International Conference on Spatial Information Theory, 2017