Field data for the Vegetation Mapping Inventory Project of Salt River Bay National Historical Park and Ecological Preserve

2008. Field data for the Vegetation Mapping Inventory Project of Salt River Bay National Historical Park and Ecological Preserve

This reference is an assemblage of field data collected as part the baseline vegetation inventory for the park unit. Typical files here are vegetation plot data, accuracy assessment data, field photos, PDF showing locations of vegetation plots and accuracy assessment data, and other data for this type. All vegetation plots were reached via hiking, often traversing steep slopes amongst thorny/poisonous vegetation while avoiding private property. Data was collected from vegetation plots that were both preselected (potential, selected in the office) and non-preselected (selected out on the field). Preselected plots were selected using ESRI ArcMap prior to field work (see Phase 4). A Garmin GPSMap 60CSx Handheld GPS Navigator was used to navigate to preselected plots. Upon arriving at the plot, a new GPS coordinate was taken. Standing at the center of the plot, the primary observer visually evaluated a circular area with an average radius of 10 meters from the center of the plot, representing approximately an area of 300m2. Some polygons were too narrow and the area evaluated was adjusted accordingly. The primary observer dictated the information for the field data sheet which was filled out by an assistant observer and photos were taken that visually represented the plot. Additional photos were taken while traveling between plots. The final vegetation map has a total of 58 mapping classes and 247 polygons. A vegetation classification was generated as part of the project which included 32 proposed new Alliances, and two new Associations.

Type
Assemblage
Units
SARI , SFCN , VMI
Keywords
Accuracy Assessment, botanical survey, Classification, Geodatabase, Habitat Types, Imagery, National Vegetation Classification, NVC, NVCS, Plots, Releve, Relevé, Remote Sensing, USNVCS, Vegetation, Vegetation Inventory, Vegetation Map, Vegetation Mapping

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