Historic Submarine Landslides in the Northern Gulf of Mexico

Dyer, Alec; Pantaleone, Scott; Mark-Moser, MacKenzie; Bean, Andrew; Morkner, Paige; Walker, Samuel; Bauer, Jennifer

doi:10.18141/1879673

Title: Historic Submarine Landslides in the Northern Gulf of Mexico

Dataset
Other Related Research

Abstract

This dataset provides a set of polygons representing the zone of depletion for historic submarine landslides (also referred to as mass transport deposits) within four regions of the US Exclusive Economic Zone in the northern Gulf of Mexico. Landslides were digitized by geologists and spatial scientists at the National Energy Technology Laboratory by visually interpreting landslide boundaries from a seismic-derived, high resolution bathymetric hillshade provided by the Bureau of Ocean and Energy Management (BOEM, 2017). A portion of the landslide features are derived from other spatial sources including the Seismic Water Anomalies dataset by BOEM (2016) as well as from McAdoo et al., 2000 and Twichell et al, 2005. The scale that landslides depletion areas can be interpreted at is limited by the spatial resolution of the gridded bathymetry, which is 12.192 meters (BOEM, 2017). For each landslide feature in the dataset, geometry metrics were calculated including geodesic area (km2) and geodesic perimeter (km) using the North America Albers Equal Area Conic projected coordinate system. The same geometry metrics were calculated for the four inventory regions.

Authors:: Dyer, Alec; Pantaleone, Scott; Mark-Moser, MacKenzie; Bean, Andrew; Morkner, Paige; Walker, Samuel; Bauer, Jennifer

Publication Date:: 2022-08-08

Other Number(s):: db898ad2-ab70-4f66-897d-28db6945ed29

DOE Contract Number:: FE1610260

Research Org.:: National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States). Energy Data eXchange; National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV (United States)

Sponsoring Org.:: USDOE Office of Fossil Energy (FE)

Keywords:: Landslide; Historic; Offshore; NETL; DOE; US

OSTI Identifier:: 1879673

DOI:: https://doi.org/10.18141/1879673

Citation Formats


                    Dyer, Alec, Pantaleone, Scott, Mark-Moser, MacKenzie, Bean, Andrew, Morkner, Paige, Walker, Samuel, and Bauer, Jennifer. Historic Submarine Landslides in the Northern Gulf of Mexico.  United States: N. p., 2022. 
        Web.  doi:10.18141/1879673.

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                    Dyer, Alec, Pantaleone, Scott, Mark-Moser, MacKenzie, Bean, Andrew, Morkner, Paige, Walker, Samuel, & Bauer, Jennifer. Historic Submarine Landslides in the Northern Gulf of Mexico.  United States.  doi:https://doi.org/10.18141/1879673

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                    Dyer, Alec, Pantaleone, Scott, Mark-Moser, MacKenzie, Bean, Andrew, Morkner, Paige, Walker, Samuel, and Bauer, Jennifer. 2022.  
"Historic Submarine Landslides in the Northern Gulf of Mexico".  United States.  doi:https://doi.org/10.18141/1879673.  https://www.osti.gov/servlets/purl/1879673. Pub date:Mon Aug 08 00:00:00 EDT 2022

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@article{osti_1879673,

  title        = {Historic Submarine Landslides in the Northern Gulf of Mexico},

  author       = {Dyer, Alec and Pantaleone, Scott and Mark-Moser, MacKenzie and Bean, Andrew and Morkner, Paige and Walker, Samuel and Bauer, Jennifer},

  abstractNote = {This dataset provides a set of polygons representing the zone of depletion for historic submarine landslides (also referred to as mass transport deposits) within four regions of the US Exclusive Economic Zone in the northern Gulf of Mexico. Landslides were digitized by geologists and spatial scientists at the National Energy Technology Laboratory by visually interpreting landslide boundaries from a seismic-derived, high resolution bathymetric hillshade provided by the Bureau of Ocean and Energy Management (BOEM, 2017). A portion of the landslide features are derived from other spatial sources including the Seismic Water Anomalies dataset by BOEM (2016) as well as from McAdoo et al., 2000 and Twichell et al, 2005. The scale that landslides depletion areas can be interpreted at is limited by the spatial resolution of the gridded bathymetry, which is 12.192 meters (BOEM, 2017). For each landslide feature in the dataset, geometry metrics were calculated including geodesic area (km2) and geodesic perimeter (km) using the North America Albers Equal Area Conic projected coordinate system. The same geometry metrics were calculated for the four inventory regions.},

  doi          = {10.18141/1879673},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {2022},

  month        = {8}

}

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DOI: https://doi.org/10.18141/1879673

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