Enhancing Evaluation of Post-Storm Morphologic Response Using Aerial Orthoimagery From Hurricane Sandy

Smith, Jacquelyn Rose; Long, Joseph W.; Stockdon, Hilary F.; Birchler, Justin J.

doi:10.1142/9789814689977_0250

Cited by 7 publications

(9 citation statements)

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“…The relationships found here are nearly identical to those defined by Overbeck et al . [], who investigated overwash deposition of Fire Island, New York following Hurricane Sandy and found the relationship between overwash and extent and volume to be linear with coefficients ( K ) ranging from 0.35 to 0.41 (although they do not differentiate between developed and undeveloped areas). When we repeat the same analysis for each environment, the relationships remain linear and statistically significant ( p < 0.01 for all environments), but values of K and A differ, most markedly for the commercial area where the coefficient ( K ) is 0.14 (Figure b and Table ).…”

Section: Methods and Resultsmentioning

confidence: 99%

Anthropogenic controls on overwash deposition: Evidence and consequences

Rogers

Moore

Goldstein

et al. 2015

J. Geophys. Res. Earth Surf.

112

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Accelerated sea level rise and the potential for an increase in frequency of the most intense hurricanes due to climate change threaten the vitality and habitability of barrier islands by lowering their relative elevation and altering frequency of overwash. High-density development may further increase island vulnerability by restricting delivery of overwash to the subaerial island. We analyzed pre-Hurricane Sandy and post-Hurricane Sandy (2012) lidar surveys of the New Jersey coast to assess human influence on barrier overwash, comparing natural environments to two developed environments (commercial and residential) using shore-perpendicular topographic profiles. The volumes of overwash delivered to residential and commercial environments are reduced by 40% and 90%, respectively, of that delivered to natural environments. We use this analysis and an exploratory barrier island evolution model to assess long-term impacts of anthropogenic structures. Simulations suggest that natural barrier islands may persist under a range of likely future sea level rise scenarios (7-13 mm/yr), whereas developed barrier islands will have a long-term tendency toward drowning.

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Section: Methods and Resultsmentioning

confidence: 99%

Anthropogenic controls on overwash deposition: Evidence and consequences

Rogers

Moore

Goldstein

et al. 2015

J. Geophys. Res. Earth Surf.

112

View full text Add to dashboard Cite

show abstract

“…We envision that psi-collect could be used to develop reproducible computational workflows to analyze post-event imagery. For example, images can be used to: assess damage to the built environment (e.g., Thomas, Kareem, & Bowyer, 2014), categorize impact in the context of the Sallenger Jr (2000) Storm Impact Scale (e.g., Liu et al, 2014;Goldstein et al, 2020), evaluate forecasts of storm impact (Morgan, Plant, Srockdon, & Snell, 2019), measure the morphology of storm deposits (e.g., Overbeck, Long, Stockdon, & Birchler, 2015;Lazarus, 2016), and study how human development controls the shape of sediment and debris deposits (e.g., Rogers et al, 2015).…”

Section: Statement Of Needmentioning

confidence: 99%

psi-collect: A Python module for post-storm image collection and cataloging

Moretz¹,

Foster²,

Weber³

et al. 2020

JOSS

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Major storms along the coastline can damage infrastructure and leave deposits of sediment and debris. Synoptic aerial imagery is often used to assess damage and impacts from storm events. A key source for this imagery in the US is the Emergency Response Imagery (ERI) collected by the the National Geodetic Survey (NGS) Remote Sensing Division of the US National Oceanographic and Atmospheric Administration (National Geodetic Survey, 2020). This imagery aids in recovery efforts as well as rapid assessment of storm impacts along developed and undeveloped coastlines (Madore, Imahori, Kum, White, & Worthem, 2018).

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“…Most geomorphic investigations of coastal storm deposition consider unbuilt environments (Donnelly et al, 2006;Engelstad et al, 2017Engelstad et al, , 2018Hudock et al, 2014;Lazarus, 2016;Lazarus & Armstrong, 2015;Leatherman & Zaremba, 1987;Masselink & van Heteren, 2014;Matias et al, 2009;Morton & Sallenger, 2003;Shaw et al, 2015;Wesselman et al, 2018). A few notable exceptions have measured washover extent (Hall & Halsey, 1991;Morton & Paine, 1985) and volume (Overbeck et al, 2015;Rogers et al, 2015;USGS 2005) in beachfront built environments following a storm event, or described the phenomenon in built settings more broadly (Nordstrom, 2004). One reason for this dearth of investigations in built environments is that storm deposits in built areas are rapidly cleared away by road crews (Nelson & Leclair, 2006;Nordstrom, 2004) -sometimes even as the storm and deposition is in progress (Lazarus & Goldstein, 2019).…”

Section: Introductionmentioning

confidence: 99%