Dataset: Habitat classification (mangrove, marsh, water) based on satellite imagery taken in fall 2022 in Port Fourchon, LA

Manually classified regions of the satellite image map that were used to train the support vector machine model. Dataset Includes a shapefile (.shp, .cpg, dbf, .prj, .sbn, .shx files). Data uses EPSG:3857 - WGS 84 / Pseudo-Mercator Attribute table includes seven columns: Shapefile has 8 attributes with "Classname" holding the name of the habitat class. Habitat classes defined as follows: ​ ...

Satellite image of Port Fourchon used for habitat classification

Output habitat types from the ArcGIS Pro’s Image Classification Tool segmenting the satellite image. Main data file for dataset 947958. Dataset Includes a shapefile (.shp, .shx, .cpg, .prj, .sbn, .dbf). 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...

Raster file that was the SVM model output. This was converted to polygons to produce the google_2022 shapefile

model output from ArcGIS pro support vector machine classification algorithm including results and hyperparameters for the algorithm.