Field data for the Vegetation Mapping Inventory Project of Niobrara National Scenic River
2015-2019. Field data for the Vegetation Mapping Inventory Project of Niobrara National Scenic River
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. The vegetation inventory project at Niobrara National Scenic River (NIOB) classified and mapped vegetation within the park administrative boundary and estimated thematic map accuracy quantitatively. The project was conducted over a four year period from the summer of 2015 to the winter of 2019. Located in north-central Nebraska, approximately 76 miles of the park is designated as a wild and scenic river. The vast majority of land within the NIOB administrative boundary is private or state-owned. Prior to field work, the preliminary classification of the vegetation associations included 82 United States National Vegetation Classification (USNVC) associations; 36 were known to occur in the project area while the other 46 associations were potentially located in the area. Existing vegetation and mapping data combined with field-collected vegetation plot data contributed to the final vegetation classification. Vegetation data collections by field crews at 156 NIOB subjective plot locations over the summer of 2015 supported vegetation classification using hierarchical clustering and professional expertise. Other types were identified in the course of additional field work and photointerpretation reconnaissance. The final vegetation classification includes 46 USNVC associations and 13 park special types. Types include 24 forest and woodland types, 8 shrubland types, 21 herbaceous types, and 6 sparse vegetation types.
- Type
- Assemblage
- Units
- NIMI , NIOB , 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