Zobrazeno 1 - 10
of 33
pro vyhledávání: '"T. Arundel"'
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-22 (2023)
Abstract Many agencies and organizations, such as the U.S. Geological Survey, handle massive geospatial datasets and their auxiliary data and are thus faced with challenges in storing data and ingesting it, transferring it between internal programs,
Externí odkaz:
https://doaj.org/article/a78e8a5aaf1b418aad19cb31016ef049
Autor:
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 Solis
Publikováno v:
Remote Sensing, Vol 16, Iss 5, p 797 (2024)
This paper assesses trending AI foundation models, especially emerging computer vision foundation models and their performance in natural landscape feature segmentation. While the term foundation model has quickly garnered interest from the geospatia
Externí odkaz:
https://doaj.org/article/cbc58a9c457941a3ae5a2b4e1d4fde77
Autor:
Samantha T. Arundel, Gaurav Sinha
Publikováno v:
International Journal of Digital Earth, Vol 13, Iss 12, Pp 1570-1584 (2020)
Spot elevations published on historical U.S. Geological Survey topographic maps were established as needed to enhance information imparted by the quadrangle’s contours. In addition to other features, labels were routinely placed on mountain summits
Externí odkaz:
https://doaj.org/article/ef9864c7c44e489185483ba722a1b09b
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
Some information contained in historical topographic maps has yet to be captured digitally, which limits the ability to automatically query such data. For example, U.S. Geological Survey’s historical topographic map collection (HTMC) displays milli
Externí odkaz:
https://doaj.org/article/b0fef4ad03d348b1b8462f62a4274ac5
Autor:
Dalia E. Varanka, Philip T. Thiem, Ethan J. Shavers, E. Lynn Usery, Lawrence V. Stanislawski, Samantha T. Arundel
Publikováno v:
Transactions in GIS. 26:25-40
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::257f81704bd0ce1acf7cbb3fb49bae16
https://doi.org/10.1111/tgis.12830
https://doi.org/10.1111/tgis.12830
Publikováno v:
GeoInformatica.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48a3cfa30d69e8db70a30e424525f1c4
https://doi.org/10.1007/s10707-022-00476-z
https://doi.org/10.1007/s10707-022-00476-z
Publikováno v:
Transactions in GIS. 24:556-572
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f53e21e7d2f1abd468451fb3fbe8e4b
https://doi.org/10.1111/tgis.12633
https://doi.org/10.1111/tgis.12633
Autor:
Gaurav Sinha, Samantha T. Arundel
Publikováno v:
International Journal of Digital Earth. 13:1570-1584
Spot elevations published on historical U.S. Geological Survey topographic maps were established as needed to enhance information imparted by the quadrangle’s contours. In addition to other feature...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ed277c361d6824d87bf65549fe484ad
https://doi.org/10.1080/17538947.2020.1754936
https://doi.org/10.1080/17538947.2020.1754936
Publikováno v:
Abstracts of the ICA. 3:1-2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6709e6d1b7b5e4c05f73dd7a52082e8
https://doi.org/10.5194/ica-abs-3-12-2021
https://doi.org/10.5194/ica-abs-3-12-2021
Publikováno v:
International Journal of Geographical Information Science. 33:666-686
This article introduces our research in developing a probabilistic model to extract linear terrain features from high resolution Digital Elevation Models (DEMs). The proposed model takes full advan...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33b3d69b3255e5f2acc6d47b93c0e33e
https://doi.org/10.1080/13658816.2018.1554814
https://doi.org/10.1080/13658816.2018.1554814