Dataset: Habitat classification (mangrove, marsh, water) based on drone imagery taken in spring 2023 in Port Fourchon, LA

Name: Habitat classification (mangrove, marsh, water) based on drone imagery taken in spring 2023 in Port Fourchon, LA
Published: 2025-04-07
Keywords: oceans

ValidatedFinal no updates expectedDOI: 10.26008/1912/bco-dmo.947918.1Version 1 (2025-04-07)Dataset Type:Other Field Results

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

Student: 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 drone based imagery collected at the location 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 multiple scales. The resolution o...

Cite Dataset

Spatial Extent: N:29.16 E:-90.15 S:29.09 W:-90.27
Temporal Extent: 2022-09-23 - 2022-09-29
Marshes surrounding Port Fourchon, Louisiana

41

Views

49

Downloads

These numbers come from web analytics and reflect real user activity on the site. They reliably show dataset usage and are mostly free of bot traffic.

Column Name,Column Description [Include meaning of any codes or flags used in data column as well as detection limits.],Units of measurement,missing data/no data value

FID ,Numerical identifier for each polygon,unitless ,
Shape ,Classification of feature type (all polygons in this case) ,unitless ,
Area_Pxl ,number of pixels in the polygon ,count,
Class_name,"Catagories of habitat types: Listed as Mangroves (mangrove vegetation), Spartina (spartina vegetation, equivolent to saltmarsh in the satelite data, Water (open water), Spillbank (Equivolent to man-made) in the satellite data) ",,
Max_diff,"A Normalized Difference Vegetation Index created using the Red and NIR color bands. This was used as a parameter for species identification as it helps quantify plant health and habitat composition (Broussard et al., 2018).",,
Mean_Blue,Mean reflectance in blue color band (444 nm) for the polygon ,,
Mean_DSM ,Mean digital surface model value for the polygon. Note: these values are not corrected and only represent relative elevation. DSM values broadly represent vegetation heigh but should not be interpreted beyond distinguishing vegetation classes,,
Mean_Green,Mean reflectance in green color band (560 nm) for the polygon ,,
Mean_NDVI,Mean NDVI value for the polygon,,
Mean_NIR,Mean reflectance in near-infrared color band (842 nm) for the polygon ,,
Mean_Red,Mean reflectance in red color band (668 nm) for the polygon ,,
Mean_Red_E,Mean reflectance in Rededge color band (717 nm) for the polygon ,,

Related Datasets

IsSourceOf

Dataset: Drone habitat variables, Port Fourchon 2023
Relationship Description:

The dataset "Classified drone-based imagery of Port Fourchon, LA during Spring 2023" contains the shapefiles used to generate the tables in this dataset.

Leavitt, H., Thomas, A., Nelson, J. (2025) Habitat variables (mangrove, marsh, water) of Port Fourchon, LA dervied from drone imagery taken in spring 2023. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-01-08 doi:10.26008/1912/bco-dmo.948112.1

Related Publications

Methods

Broussard, W., Suir, G., & Visser, J. (2018). Unmanned Aircraft Systems (UAS) and satellite imagery collections in a coastal intermediate marsh to determine the land-water interface, vegetation types, and Normalized Difference Vegetation Index (NDVI) values. Engineer Research and Development Center (U.S.). https://doi.org/10.21079/11681/29517

Methods

Zhao, J., Fang, Y., Zhang, M., & Dong, Y. (2020). Identification of Remote Sensing-Based Land Cover Types Combining Nearest-Neighbor Classification and SEaTH Algorithm. Journal of the Indian Society of Remote Sensing, 48(7), 1007–1020. https://doi.org/10.1007/s12524-020-01131-6

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Dataset: Habitat classification (mangrove, marsh, water) based on drone imagery taken in spring 2023 in Port Fourchon, LA

ValidatedFinal no updates expectedDOI: 10.26008/1912/bco-dmo.947918.1Version 1 (2025-04-07)Dataset Type:Other Field Results

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

Student: 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

Cite Dataset

Spatial Extent: N:29.16 E:-90.15 S:29.09 W:-90.27
Temporal Extent: 2022-09-23 - 2022-09-29
Marshes surrounding Port Fourchon, Louisiana

41

Views

49

Downloads

These numbers come from web analytics and reflect real user activity on the site. They reliably show dataset usage and are mostly free of bot traffic.

Column Name,Column Description [Include meaning of any codes or flags used in data column as well as detection limits.],Units of measurement,missing data/no data value

FID ,Numerical identifier for each polygon,unitless ,
Shape ,Classification of feature type (all polygons in this case) ,unitless ,
Area_Pxl ,number of pixels in the polygon ,count,
Class_name,"Catagories of habitat types: Listed as Mangroves (mangrove vegetation), Spartina (spartina vegetation, equivolent to saltmarsh in the satelite data, Water (open water), Spillbank (Equivolent to man-made) in the satellite data) ",,
Max_diff,"A Normalized Difference Vegetation Index created using the Red and NIR color bands. This was used as a parameter for species identification as it helps quantify plant health and habitat composition (Broussard et al., 2018).",,
Mean_Blue,Mean reflectance in blue color band (444 nm) for the polygon ,,
Mean_DSM ,Mean digital surface model value for the polygon. Note: these values are not corrected and only represent relative elevation. DSM values broadly represent vegetation heigh but should not be interpreted beyond distinguishing vegetation classes,,
Mean_Green,Mean reflectance in green color band (560 nm) for the polygon ,,
Mean_NDVI,Mean NDVI value for the polygon,,
Mean_NIR,Mean reflectance in near-infrared color band (842 nm) for the polygon ,,
Mean_Red,Mean reflectance in red color band (668 nm) for the polygon ,,
Mean_Red_E,Mean reflectance in Rededge color band (717 nm) for the polygon ,,

Related Datasets

IsSourceOf

Dataset: Drone habitat variables, Port Fourchon 2023
Relationship Description:

The dataset "Classified drone-based imagery of Port Fourchon, LA during Spring 2023" contains the shapefiles used to generate the tables in this dataset.

Related Publications

Methods

Data File(s)	Type	Description	Action
Drone_Orthomosiacs.zip (40.32 GB)	ZIP Archive (ZIP)	Orthomosiacs for each band used in habitat classification for all flights. Each flight has a DSM (Digital Surface Model) and a TIF file associated with each light band used to classify the image (blue, geen, nir, red, and red edge). TIF files are associated with PRF and TFW files.	Drone_Orthomosiacs.zip
bcodmo-files-GZ32xn6DPO5HBGPy.zip (764.02 MB)	ZIP Archive (ZIP)	Classified habitat shapefiles based on drone imagery. Zip file includes 14 shapefiles, 1 for each flight. Data CRS for each shapefile is EPSG:32615 - WGS 84 / UTM zone 15N. Attribute table includes 14 columns (Column Name,Column Description [Include meaning of any codes or flags used in data column as well as detection limits.],Units of measurement,missing data/no data value): FID ,Numerical ide... Show more	bcodmo-files-GZ32xn6DPO5HBGPy.zip

Data File(s)	Type	Description	Action
Drone_Orthomosiacs.zip (40.32 GB)	ZIP Archive (ZIP)	Orthomosiacs for each band used in habitat classification for all flights. Each flight has a DSM (Digital Surface Model) and a TIF file associated with each light band used to classify the image (blue, geen, nir, red, and red edge). TIF files are associated with PRF and TFW files.	Drone_Orthomosiacs.zip
bcodmo-files-GZ32xn6DPO5HBGPy.zip (764.02 MB)	ZIP Archive (ZIP)	Classified habitat shapefiles based on drone imagery. Zip file includes 14 shapefiles, 1 for each flight. Data CRS for each shapefile is EPSG:32615 - WGS 84 / UTM zone 15N. Attribute table includes 14 columns (Column Name,Column Description [Include meaning of any codes or flags used in data column as well as detection limits.],Units of measurement,missing data/no data value): FID ,Numerical ide... Show more	bcodmo-files-GZ32xn6DPO5HBGPy.zip

Dataset: Habitat classification (mangrove, marsh, water) based on drone imagery taken in spring 2023 in Port Fourchon, LA

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

Student: 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

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49

Files

Related Datasets

Related Publications

Dataset: Habitat classification (mangrove, marsh, water) based on drone imagery taken in spring 2023 in Port Fourchon, LA

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

Student: 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

41

49

Files

Related Datasets

Related Publications

Dataset: Habitat classification (mangrove, marsh, water) based on drone imagery taken in spring 2023 in Port Fourchon, LA

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

Student: 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

Metadata

41

49

Files

Related Datasets

Related Publications

Dataset: Habitat classification (mangrove, marsh, water) based on drone imagery taken in spring 2023 in Port Fourchon, LA

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

Student: 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

Metadata

41

49

Files

Related Datasets

Related Publications