Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Phillipe A Wernette"'
Autor:
Phillipe Alan Wernette
Publikováno v:
Remote Sensing, Vol 16, Iss 12, p 2169 (2024)
Coastal cliffs erode in response to short- and long-term environmental changes, but predicting these changes continues to be a challenge. In addition to a chronic lack of data on the cliff face, vegetation presence and growth can bias our erosion mea
Externí odkaz:
https://doaj.org/article/8e426d11d7b5450285095fb28c80bf68
Publikováno v:
Remote Sensing, Vol 16, Iss 7, p 1264 (2024)
Mapping benthic habitats with bathymetric, acoustic, and spectral data requires georeferenced ground-truth information about habitat types and characteristics. New technologies like autonomous underwater vehicles (AUVs) collect tens of thousands of i
Externí odkaz:
https://doaj.org/article/cc40af52978d4f89966b2e820166532f
Autor:
Bradley A. Weymer, Phillipe A. Wernette, Mark E. Everett, Potpreecha Pondthai, Marion Jegen, Aaron Micallef
Publikováno v:
Frontiers in Marine Science, Vol 7 (2020)
Groundwater resources in coastal regions are facing enormous pressure caused by population growth and climate change. Few studies have investigated whether offshore freshened groundwater systems are connected with terrestrial aquifers recharged by me
Externí odkaz:
https://doaj.org/article/f05495c4e7a9419abc92a4dff23de546
Autor:
Christopher Sherwood, Christopher R Sherwood, Andrew C Ritchie, Jin-Si R Over, Christine J Kranenburg, Jonathan A Warrick, Jenna A Brown, C Wayne Wright, Alfredo L Aretxabaleta, Sara L Zeigler, Phillipe A Wernette, Daniel D Buscombe, Christie A Hegermiller
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53a9ce7cabc27f19702e8538402a1699
https://doi.org/10.22541/essoar.167388282.28584763/v1
https://doi.org/10.22541/essoar.167388282.28584763/v1
Autor:
Christopher R. Sherwood, Andrew C. Ritchie, Jin‐Si R. Over, Christine J. Kranenburg, Jonathan A. Warrick, Jenna A. Brown, C. Wayne Wright, Alfredo L. Aretxabaleta, Sara L. Zeigler, Phillipe A. Wernette, Daniel D. Buscombe, Christie A. Hegermiller
Publikováno v:
Journal of Geophysical Research: Earth Surface. 128
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4963dc5366df3e0789af1ccf18615ba2
https://doi.org/10.1029/2022jf006934
https://doi.org/10.1029/2022jf006934
Autor:
Christopher R. Sherwood, Andy Ritchie, Jin-Si R Over, Christine J Kranenburg, Jonathan A Warrick, Jenna A. Brown, C. Wayne Wright, Alfredo L. Aretxabaleta, Sara Zeigler, Phillipe Alan Wernette, Daniel Buscombe, Christie A Hegermiller
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e271403892c14646ec1e5add00be3f04
https://doi.org/10.1002/essoar.10512457.1
https://doi.org/10.1002/essoar.10512457.1
Autor:
Phillipe A. Wernette, Jenna Brown, Andrew C. Ritchie, Jonathan A. Warrick, Christie A. Hegermiller, Jin-Si R. Over, Christopher R. Sherwood
Publikováno v:
Shore & Beach. :31-40
Hurricanes are known to play a critical role in reshaping coastlines, particularly on the open ocean coast in cases of overwash, but storm induced seaward-directed flow and responses are often ignored or un-documented. Subaerial evidence for seaward
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d99870be0c1efc9a08993ba26148e567
https://doi.org/10.34237/1008924
https://doi.org/10.34237/1008924
Autor:
Phillipe A. Wernette, Chris Houser
Publikováno v:
Physical Geography. 43:145-162
Rip currents can move unsuspecting swimmers offshore rapidly and represent a significant risk to beach users worldwide, including along the northern coast of Prince Edward Island (PEI), Canada. Alt...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45b4165364abd1a166c8adf82a62c414
https://doi.org/10.1080/02723646.2021.1923389
https://doi.org/10.1080/02723646.2021.1923389
Publikováno v:
Reference Module in Earth Systems and Environmental Sciences
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26b38ce6746e12da88899bdcc5cdc135
https://doi.org/10.1016/b978-0-12-818234-5.00023-7
https://doi.org/10.1016/b978-0-12-818234-5.00023-7
Autor:
Shah Nafis Rafique, Ashley Ellenson, Luke A. Taylor, Somya D. Mohanty, Eli D. Lazarus, I. R. B. Reeves, R. Palermo, K. Anarde, Jessamin A. Straub, Jin-Si R. Over, N. Cohn, Hannah Williams, Megan Gillen, Andrew D. Ashton, Katherine A. Castagno, K. M. Ratliff, Paige A. Hovenga, E. J. Wallace, Jonathan A. Warrick, Phillipe A. Wernette, Tomas Beuzen, Matthew P. Conlin, Daniel Buscombe, Lily H. Sanborn, Evan B. Goldstein
Publikováno v:
Earth and Space Science, Vol 8, Iss 9, Pp n/a-n/a (2021)
Classifying images using supervised machine learning (ML) relies on labeled training data—classes or text descriptions, for example, associated with each image. Data‐driven models are only as good as the data used for training, and this points to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::deccc86bc5134e82dde63633eb6e227c
https://doaj.org/article/6ffcb5c803fd4ffe94cf5547a5b77f7a
https://doaj.org/article/6ffcb5c803fd4ffe94cf5547a5b77f7a