Dataset: Satellite imagery classification, Port Fourchon, 2022

Data not availableVersion 1 (2025-01-03)Dataset Type:Other Field Results

Principal Investigator: James Nelson (University of Louisiana at Lafayette)

Student, Contact: Herbert Leavitt (University of Louisiana at Lafayette)

Student: Alexander Thomas (University of Louisiana at Lafayette)

BCO-DMO Data Manager: Karen Soenen (Woods Hole Oceanographic Institution)

Project: CAREER: Integrating Seascapes and Energy Flow: learning and teaching about energy, biodiversity, and ecosystem function on the frontlines of climate change (Louisiana E-scapes)

Abstract

This dataset contains habitat classifications based on satellite imagery downloaded from Google Earth, representing the locations of sites sampled during the Fall 2022 drop sampling season. The imagery includes geospatial coverage of estuarine and adjacent terrestrial habitats, providing detailed landscape features such as vegetation type, water bodies, and land use around each sampling site. The spatial resolution of the satellite imagery allows for precise analysis of habitat variables at mult...

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Dataset Includes a shapefile. Data uses EPSG 4326 projected to WGS 1984 Web Mercator (auxiliary sphere). Attribute table includes seven columns:

FID, Id, and gridcode are identical and identify objects in the dataframe

Shape: Data type
Shape_Leng: Aggregated perimeter length of all polygons that share given Class_name in meters
Shape_Area: Aggregated area of all polygons that share given Class_name in square meters
Class_name: name of the habitat class. Habitat classes defined as follows:

  •  Water: Open water areas
  • Mangrove: Land covered in mangrove vegetation
  • Saltmarsh: Land covered in Saltmarsh vegetation
  • Manmade: Artificial structures like houses, port facilities, and dredge berms
  • Mud Flat: Regions of water that appear to be particularly shallow based on satellite imagery. This class was merged with water in the final analysis.

 

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Nelson, J. (2025) Satellite imagery classification, Port Fourchon, 2022. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-01-03 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/947958 [access date]

Terms of Use

This dataset is licensed under Creative Commons Attribution 4.0.


If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.

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Funded by the U.S. National Science Foundation