Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Stephen C. Medeiros"'
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:
Remote Sensing, Vol 13, Iss 3, 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://doaj.org/article/35fd447237cf44a6b29a65642c30a414
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
Autor:
Stephen C. Medeiros, Scott C. Hagen, Naira Chaouch, Jesse Feyen, Marouane Temimi, John F. Weishampel, Yuji Funakoshi, Reza Khanbilvardi
Publikováno v:
Remote Sensing, Vol 5, Iss 11, Pp 5662-5679 (2013)
Tidal harmonic analysis simulations along with simulations spanning four specific historical time periods in 2003 and 2004 were conducted to test the performance of a northern Gulf of Mexico tidal model. A recently developed method for detecting inun
Externí odkaz:
https://doaj.org/article/3f1742b7fe034a5aa39462675af7eead
Publikováno v:
Remote Sensing, Vol 10, Iss 9, p 1390 (2018)
Coastal wetlands (CWs) offer numerous imperative functions that support a diverse array of life forms that are poorly adapted for other environments and provide an economic base for human communities. Unfortunately, CWs have been experiencing signifi
Externí odkaz:
https://doaj.org/article/6c48e6ec8e064a5d9890a5f55d3b185d
Publikováno v:
Remote Sensing, Vol 9, Iss 6, p 527 (2017)
Remote sensing derived Normalized Difference Vegetation Index (NDVI) is a widely used index to monitor vegetation and land use change. NDVI can be retrieved from publicly available data repositories of optical sensors such as Landsat, Moderate Resolu
Externí odkaz:
https://doaj.org/article/10141d6d9deb462d9ef1fe37b0f1bc3d
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