Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Stephen C Medeiros"'
Autor:
Karim Alizad, Scott C Hagen, Stephen C Medeiros, Matthew V Bilskie, James T Morris, Len Balthis, Christine A Buckel
Publikováno v:
PLoS ONE, Vol 13, Iss 10, p e0205176 (2018)
Two distinct microtidal estuarine systems were assessed to advance the understanding of the coastal dynamics of sea level rise in salt marshes. A coupled hydrodynamic-marsh model (Hydro-MEM) was applied to both a marine-dominated (Grand Bay, Mississi
Externí odkaz:
https://doaj.org/article/d9d0fd94bcac4b29970a3d6746baf4e8
Autor:
Kelly M. San Antonio, Daniel Burow, Hyun Jung Cho, Matthew J. McCarthy, Stephen C. Medeiros, Yao Zhou, Hannah V. Herrero
Publikováno v:
Remote Sensing, Vol 16, Iss 9, p 1557 (2024)
Hurricanes Ian and Nicole caused devastating destruction across Florida in September and November 2022, leaving widespread damage in their wakes. This study focuses on the assessment of barrier islands’ shorelines, encompassing natural sand dunes a
Externí odkaz:
https://doaj.org/article/d7de8bb2733c42c8a6eba7bf2aacc9f0
Autor:
Stephen C. Medeiros
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 11, p 2053 (2023)
Mangroves are a natural feature that enhance the resilience of natural and built coastal environments worldwide. They mitigate the impacts of hurricanes by dissipating energy from storm surges and waves, as well as reducing wind speeds. To incorporat
Externí odkaz:
https://doaj.org/article/0cced9cde73d4176837eac60c09b4b18
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 5766-5775 (2022)
Lidar-derived digital elevation models (DEMs) are crucial for modeling salt marsh evolution, forecasting inundation depth, frequency, and duration, and simulating sea level rise. Advances in lidar acquisition and data processing techniques have led t
Externí odkaz:
https://doaj.org/article/0822c14e5e6c4ab9aa672e9723ee543b
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 807-814 (2020)
Light detection and ranging (Lidar) derived digital elevation models are widely used in modeling coastal marsh systems. However, the topographic error in these models can affect simulations of marsh coverage and characteristics. We investigated the r
Externí odkaz:
https://doaj.org/article/75c4693da7a84ddea08bbacc03fee3e4
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 8, Iss 4, Pp 1582-1590 (2015)
A novel technique for parameterizing surface roughness in coastal inundation models using airborne laser scanning (lidar) data is presented. Two important parameters to coastal overland flow dynamics, Manning's n (bottom friction) and effective aerod
Externí odkaz:
https://doaj.org/article/23333219955f400c9cace84c7349ae43
Publikováno v:
Ecological engineering, 180:106678. Elsevier
The ecological benefits of healthy oyster populations have led to mounting interest in restoration of degraded reef habitats and design of nature-based reef features. However, hydrodynamic studies of restored oyster reef remain sparse, and little is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58429ad29d27634a4f4d190317ec3476
https://doi.org/10.1016/j.ecoleng.2022.106678
https://doi.org/10.1016/j.ecoleng.2022.106678
Autor:
Nicholas M. Enwright, Wyatt C. Cheney, Kristine O. Evans, Hana R. Thurman, Mark S. Woodrey, Auriel M.V. Fournier, Dean B. Gesch, Jonathan L. Pitchford, Jason M. Stoker, Stephen C. Medeiros
Publikováno v:
Remote Sensing of Environment. 287:113451
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b8c017b9cacc602fdbc69da95da5fa9
https://doi.org/10.1016/j.rse.2023.113451
https://doi.org/10.1016/j.rse.2023.113451
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 807-814 (2020)
Light detection and ranging (Lidar) derived digital elevation models are widely used in modeling coastal marsh systems. However, the topographic error in these models can affect simulations of marsh coverage and characteristics. We investigated the r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b54a75652198ffc4755f41e1849a7f1
https://doi.org/10.1109/jstars.2020.2973490
https://doi.org/10.1109/jstars.2020.2973490
Publikováno v:
Remote Sensing; Volume 13; Issue 3; Pages: 438
Remote Sensing, Vol 13, Iss 438, p 438 (2021)
Remote Sensing, Vol 13, Iss 438, p 438 (2021)
Long-term monthly coastal wetland vegetation monitoring is the key to quantifying the effects of natural and anthropogenic events, such as severe storms, as well as assessing restoration efforts. Remote sensing data products such as Normalized Differ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::accaa59d1c60e98f426025fffe25ab4a