{"@context":{"@vocab":"https://schema.org/","spdx":"http://spdx.org/rdf/terms#"},"@id":"https://www.bco-dmo.org/dataset/947918","url":"https://www.bco-dmo.org/dataset/947918","@type":"Dataset","name":"Habitat classification (mangrove, marsh, water) based on drone imagery taken in spring 2023 in Port Fourchon, LA","alternateName":"Drone imagery classification, Port Fourchon, 2023","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 of this data is less than 1 meter.\r\n\r\nThe satellite imagery used to classify the habitats in this dataset was taken during the spring following our sampling season, but is still within six months of our sampling period. The imagery was analyzed to extract environmental variables, such as land-water ratios, vegetation coverage, and proximity to habitat edges. These variables are crucial for defining habitat characteristics and exploring their relationship to species abundance.\r\n\r\nThe primary purpose of this dataset is to investigate how habitat scale influences models linking species abundance to landscape metrics. This information is particularly useful for researchers studying estuarine ecosystems, landscape ecology, and habitat management. Data collection and interpretation were conducted by Herbert Leavitt, Dr. James Nelson, and Alex Thomas, with affiliations at the time of sampling being with the University of Louisiana at Lafayette.","description":"

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

\r\n\r\n

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 ,,

\r\n","isAccessibleForFree":true,"datePublished":"2025-01-03","keywords":"oceans","creator":{"@list":[{"@type":"Person","name":"Herbert Leavitt","url":"https://www.bco-dmo.org/person/941252","identifier":{"@id":"https://orcid.org/0000-0001-8656-0137","@type":"PropertyValue","propertyID":"https://registry.identifiers.org/registry/orcid","value":"orcid:0000-0001-8656-0137","url":"https://orcid.org/0000-0001-8656-0137"}},{"@type":"Person","name":"Alexander Thomas","url":"https://www.bco-dmo.org/person/941255","identifier":{"@id":"https://orcid.org/0009-0006-4001-2630","@type":"PropertyValue","propertyID":"https://registry.identifiers.org/registry/orcid","value":"orcid:0009-0006-4001-2630","url":"https://orcid.org/0009-0006-4001-2630"}},{"@type":"Person","name":"James Nelson","url":"https://www.bco-dmo.org/person/941475","identifier":{"@id":"https://orcid.org/0000-0003-4607-3953","@type":"PropertyValue","propertyID":"https://registry.identifiers.org/registry/orcid","value":"orcid:0000-0003-4607-3953","url":"https://orcid.org/0000-0003-4607-3953"}}]},"version":"1","license":["https://creativecommons.org/licenses/by/4.0/","https://spdx.org/licenses/CC-BY-4.0"],"temporalCoverage":"2022-09-23/2022-09-29","spatialCoverage":{"@type":"Place","geo":{"@type":"GeoShape","box":"29.092646 -90.269831 29.164671 -90.149744","polygon":"29.092646,-90.269831 29.164671,-90.269831 29.164671,-90.149744 29.092646,-90.149744 29.092646,-90.269831"},"additionalProperty":[{"@type":"PropertyValue","additionalType":"http://www.wikidata.org/entity/Q161779","propertyID":"http://dbpedia.org/resource/Spatial_reference_system","name":"Spatial Reference System","value":"http://www.w3.org/2003/01/geo/wgs84_pos#lat_long"},{"@type":"PropertyValue","additionalType":"http://www.wikidata.org/entity/Q4018860","propertyID":"WKT","name":"Well-Known Text","value":"POLYGON ((-90.269831 29.092646, -90.149744 29.092646, -90.149744 29.164671, -90.269831 29.164671, -90.269831 29.092646))"}],"description":"Marshes surrounding Port Fourchon, Louisiana"},"publisher":{"@id":"https://www.bco-dmo.org","@type":"Organization","name":"Biological and Chemical Data Management Office","alternateName":"BCO-DMO","url":"https://www.bco-dmo.org","sameAs":"http://www.re3data.org/repository/r3d100000012"},"provider":{"@id":"https://www.bco-dmo.org"},"includedInDataCatalog":{"@id":"https://www.bco-dmo.org/search/dataset"},"producer":[{"@type":"ResearchProject","name":"CAREER: Integrating Seascapes and Energy Flow: learning and teaching about energy, biodiversity, and ecosystem function on the frontlines of climate change","alternateName":"Louisiana E-scapes","description":"NSF Award Abstract:\nCoastal marshes provide a suite of vital functions that support natural and human communities. Humans frequently take for granted and exploit these ecosystem services without fully understanding the ecological feedbacks, linkages, and interdependencies of these processes to the wider ecosystem. As demands on coastal ecosystem services have risen, marshes have experienced substantial loss due to direct and indirect impacts from human activity. The rapidly changing coastal ecosystems of Louisiana provide a natural experiment for understanding how coastal change alters ecosystem function. This project is developing new metrics and tools to assess food web variability and test hypotheses on biodiversity and ecosystem function in coastal Louisiana. The research is determining how changing habitat configuration alters the distribution of energy across the seascape in a multitrophic system. This work is engaging students from the University of Louisiana Lafayette and Dillard University in placed-based learning by immersing them in the research and local restoration efforts to address land loss and preserve critical ecosystem services. Students are developing a deeper understanding of the complex issues facing coastal regions through formal course work, directed field work, and outreach. Students are interacting with stakeholders and managers who are currently battling coastal change. Their directed research projects are documenting changes in coastal habitat and coupling this knowledge with the consequences to ecosystems and the people who depend on them. By participating in the project students are emerging with knowledge and training that is making them into informed citizens and capable stewards of the future of our coastal ecosystems, while also preparing them for careers in STEM. The project is supporting two graduate students and a post-doc.\nThe transformation and movement of energy through a food web are key links between biodiversity and ecosystem function. A major hurdle to testing biodiversity ecosystem function theory is a limited ability to assess food web variability in space and time. This research is quantifying changing seascape structure, species diversity, and food web structure to better understand the relationship between biodiversity and energy flow through ecosystems. The project uses cutting edge tools and metrics to test hypotheses on how the distribution, abundance, and diversity of key species are altered by ecosystem change and how this affects function. The hypotheses driving the research are: 1) habitat is a more important indirect driver of trophic structure than a direct change to primary trophic pathways; and 2) horizontal and vertical diversity increases with habitat resource index. Stable isotope analysis is characterizing energy flow through the food web. Changes in horizontal and vertical diversity in a multitrophic system are being quantified using aerial surveys and field sampling. To assess the spatial and temporal change in food web resources, the project is combining results from stable isotope analysis and drone-based remote sensing technology to generate consumer specific energetic seascape maps (E-scapes) and trophic niche metrics. In combination these new metrics are providing insight into species’ responses to changing food web function across the seascape and through time.\nThis project is jointly funded by Biological Oceanography and the Established Program to Stimulate Competitive Research (EPSCoR).\nThis award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.\n","url":"https://www.bco-dmo.org/project/838958"}],"subjectOf":[{"@type":"DataDownload","name":"ISO 19115-2 (NOAA Profile)","contentUrl":"https://www.bco-dmo.org/dataset/947918/iso","encodingFormat":["http://www.isotc211.org/2005/gmd-noaa","application/xml"],"encodesCreativeWork":"https://www.bco-dmo.org/dataset/947918","creativeWorkStatus":"In Review","about":"https://www.bco-dmo.org/dataset/947918"}],"funding":[{"@type":"MonetaryGrant","url":"https://www.bco-dmo.org/award/940732","name":"OCE-2418012","funder":{"@type":"FundingAgency","name":"NSF Division of Ocean Sciences","identifier":{"@id":"https://doi.org/10.13039/100000141","@type":"PropertyValue","propertyID":"https://registry.identifiers.org/registry/doi","value":"doi:10.13039/100000141","url":"https://doi.org/10.13039/100000141"},"alternateName":"NSF OCE"},"sameAs":"http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=2418012"}]}

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