Report Supplements and Field data for the Vegetation Mapping Inventory Project of Mount Rainier National Park
2005-2020. Report Supplements and Field data for the Vegetation Mapping Inventory Project of Mount Rainier National Park. National Park Service
This reference is an assemblage of field and report data collected as part the baseline vegetation inventory for the park unit. The files include high and low resolution map layouts, vegetation plot data, field photos, accuracy assessment contingency table, maps showing locations of vegetation plots and accuracy assessment plots, and supplemental materials for the report, including map class descriptions and a key to the map classes. The map is based on a vegetation classification developed during the project and was created using an inductive modeling approach. Data used to construct the classification were collected between 2005 and 2015 and included plots from Olympic National Park and North Cascades National Park Complex. These plots were used to develop and refine the association-level National Vegetation Classification (NVC). The associations were combined into map classes based roughly on the NVC alliance-level classification, but updated to allow improved map detail and accuracy. Model training data relied only on plots from MORA, collected during the same years. Independent field accuracy assessment data were collected in 2011, supplemented in 2014 and 2019, and applied to the final map generated later. The final vegetation map, including a buffer surrounding the park, contains 33 natural vegetated classes, five mostly unvegetated natural classes, and four classes representing burned areas or anthropogenic disturbance.
- Type
- Assemblage
- Publisher
- National Park Service
- Units
- MORA , NCCN , VMI
- Keywords
- Accuracy Assessment, botanical survey, Classification, Geodatabase, Habitat Types, Imagery, Map Class, MORA, Mount Rainier National Park, National Vegetation Classification, North Coast and Cascades Network, NVC, NVCS, Plots, Releve, Relevé, Remote Sensing, USNVCS, Vegetation, Vegetation Inventory, Vegetation Map, Vegetation Mapping