Search Results - "Medeiros, Stephen"

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  1. 1

    Dynamic responses and implications to coastal wetlands and the surrounding regions under sea level rise by Alizad, Karim, Hagen, Scott C, Medeiros, Stephen C, Bilskie, Matthew V, Morris, James T, Balthis, Len, Buckel, Christine A

    Published in PloS one (12-10-2018)
    “…Two distinct microtidal estuarine systems were assessed to advance the understanding of the coastal dynamics of sea level rise in salt marshes. A coupled…”
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    Journal Article
  2. 2

    Hydraulic Bottom Friction and Aerodynamic Roughness Coefficients for Mangroves in Southwest Florida, USA by Medeiros, Stephen C.

    Published in Journal of marine science and engineering (01-11-2023)
    “…Mangroves are a natural feature that enhance the resilience of natural and built coastal environments worldwide. They mitigate the impacts of hurricanes by…”
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  3. 3

    Review of wetting and drying algorithms for numerical tidal flow models by Medeiros, Stephen C., Hagen, Scott C.

    “…SUMMARYA review of wetting and drying (WD) algorithms used by contemporary numerical models based on the shallow water equations is presented. The numerical…”
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  4. 4

    Wet channel network extraction by integrating LiDAR intensity and elevation data by Hooshyar, Milad, Kim, Seoyoung, Wang, Dingbao, Medeiros, Stephen C.

    Published in Water resources research (01-12-2015)
    “…The temporal dynamics of stream networks are vitally important for understanding hydrologic processes including surface water and groundwater interaction and…”
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  5. 5

    Wetland Dynamics Inferred from Spectral Analyses of Hydro-Meteorological Signals and Landsat Derived Vegetation Indices by Tahsin, Subrina, Medeiros, Stephen C., Singh, Arvind

    Published in Remote sensing (Basel, Switzerland) (01-01-2020)
    “…The dynamic response of coastal wetlands (CWs) to hydro-meteorological signals is a key indicator for understanding climate driven variations in wetland…”
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  6. 6

    Characterizing canopy complexity of natural and restored intertidal oyster reefs (Crassostrea virginica) with a novel laser‐scanning method by Cannon, David J., Kibler, Kelly M., Taye, Jyotismita, Medeiros, Stephen C.

    Published in Restoration ecology (01-09-2023)
    “…The structural complexity of oyster reef canopy plays a major role in promoting biodiversity, balancing the sediment budget, and modulating hydrodynamics in…”
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  7. 7

    A coupled, two-dimensional hydrodynamic-marsh model with biological feedback by Alizad, Karim, Hagen, Scott C., Morris, James T., Bacopoulos, Peter, Bilskie, Matthew V., Weishampel, John F., Medeiros, Stephen C.

    Published in Ecological modelling (10-05-2016)
    “…•A spatially-explicit model (Hydro-MEM) by linking a hydrodynamic-physical model and the Marsh Equilibrium Model (MEM) was developed.•The model includes the…”
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  8. 8

    Exploration of the effects of storm surge on the extent of saltwater intrusion into the surficial aquifer in coastal east-central Florida (USA) by Xiao, Han, Wang, Dingbao, Medeiros, Stephen C., Bilskie, Matthew V., Hagen, Scott C., Hall, Carlton R.

    Published in The Science of the total environment (15-01-2019)
    “…Climate change such as altered frequency and intensity of storm surge from tropical cyclones can cause saltwater intrusion into coastal aquifers. In this…”
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  9. 9

    Optical Cloud Pixel Recovery via Machine Learning by Tahsin, Subrina, Medeiros, Stephen, Hooshyar, Milad, Singh, Arvind

    Published in Remote sensing (Basel, Switzerland) (01-06-2017)
    “…Remote sensing derived Normalized Difference Vegetation Index (NDVI) is a widely used index to monitor vegetation and land use change. NDVI can be retrieved…”
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  10. 10

    Resilience of coastal wetlands to extreme hydrologic events in Apalachicola Bay by Tahsin, Subrina, Medeiros, Stephen C., Singh, Arvind

    Published in Geophysical research letters (28-07-2016)
    “…Extreme hydrologic events such as hurricanes and droughts continuously threaten wetlands which provide key ecosystem services in coastal areas. The recovery…”
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  11. 11

    Valley and channel networks extraction based on local topographic curvature and k‐means clustering of contours by Hooshyar, Milad, Wang, Dingbao, Kim, Seoyoung, Medeiros, Stephen C., Hagen, Scott C.

    Published in Water resources research (01-10-2016)
    “…A method for automatic extraction of valley and channel networks from high‐resolution digital elevation models (DEMs) is presented. This method utilizes both…”
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  12. 12

    The dynamic effects of sea level rise on low‐gradient coastal landscapes: A review by Passeri, Davina L., Hagen, Scott C., Medeiros, Stephen C., Bilskie, Matthew V., Alizad, Karim, Wang, Dingbao

    Published in Earth's future (01-06-2015)
    “…Coastal responses to sea level rise (SLR) include inundation of wetlands, increased shoreline erosion, and increased flooding during storm events. Hydrodynamic…”
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  13. 13

    Locality of Topographic Ground Truth Data for Salt Marsh Lidar DEM Elevation Bias Mitigation by Medeiros, Stephen C., Bobinsky, Joelle S., Abdelwahab, Khalid

    “…Lidar-derived digital elevation models (DEMs) are crucial for modeling salt marsh evolution, forecasting inundation depth, frequency, and duration, and…”
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  14. 14

    Variation of mean flow and turbulence characteristics within canopies of restored intertidal oyster reefs as a function of restoration age by Cannon, David, Kibler, Kelly M., Kitsikoudis, Vasileios, Medeiros, Stephen C., Walters, Linda J.

    Published in Ecological engineering (01-07-2022)
    “…The ecological benefits of healthy oyster populations have led to mounting interest in restoration of degraded reef habitats and design of nature-based reef…”
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  15. 15

    Assessing sea-level rise impact on saltwater intrusion into the root zone of a geo-typical area in coastal east-central Florida by Xiao, Han, Wang, Dingbao, Medeiros, Stephen C., Hagen, Scott C., Hall, Carlton R.

    Published in The Science of the total environment (15-07-2018)
    “…Saltwater intrusion (SWI) into root zone in low-lying coastal areas can affect the survival and spatial distribution of various vegetation species by altering…”
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  16. 16

    Adjusting Lidar-Derived Digital Terrain Models in Coastal Marshes Based on Estimated Aboveground Biomass Density by Medeiros, Stephen, Hagen, Scott, Weishampel, John, Angelo, James

    “…Digital elevation models (DEMs) derived from airborne lidar are traditionally unreliable in coastal salt marshes due to the inability of the laser to penetrate…”
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  17. 17

    Model Sensitivity to Topographic Uncertainty in Meso- and Microtidal Marshes by Alizad, Karim, Medeiros, Stephen C., Foster-Martinez, Madeline R., Hagen, Scott C.

    “…Light detection and ranging (Lidar) derived digital elevation models are widely used in modeling coastal marsh systems. However, the topographic error in these…”
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  18. 18

    Impacts of historic morphology and sea level rise on tidal hydrodynamics in a microtidal estuary (Grand Bay, Mississippi) by Passeri, Davina L., Hagen, Scott C., Medeiros, Stephen C., Bilskie, Matthew V.

    Published in Continental shelf research (01-12-2015)
    “…This study evaluates the geophysical influence of the combined effects of historic sea level rise (SLR) and morphology on tidal hydrodynamics in the Grand Bay…”
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  19. 19

    Data-Driven Assessment of the Impact of Hurricanes Ian and Nicole: Natural and Armored Dunes in the Aftermath of Hurricanes on Florida’s Central East Coast by San Antonio, Kelly M., Burow, Daniel, Cho, Hyun Jung, McCarthy, Matthew J., Medeiros, Stephen C., Zhou, Yao, Herrero, Hannah V.

    Published in Remote sensing (Basel, Switzerland) (01-05-2024)
    “…Hurricanes Ian and Nicole caused devastating destruction across Florida in September and November 2022, leaving widespread damage in their wakes. This study…”
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  20. 20

    Terrain-driven unstructured mesh development through semi-automatic vertical feature extraction by Bilskie, Matthew V., Coggin, David, Hagen, Scott C., Medeiros, Stephen C.

    Published in Advances in water resources (01-12-2015)
    “…•An automated method to extract terrain features from a digital elevation model is discussed.•Including terrain features enhances the description of the…”
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