Filters: Tags: plant communities (X) > partyWithName: USGS/CSS/Core Science Analytics and Synthesis (X)
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We developed a vegetation classification and high-resolution vegetation map for Petroglyph National Monument, New Mexico, as part of the USGS Vegetation Characterization Program, a cooperative effort by the U.S. Geological Survey (USGS) and the National Park Service Inventory & Monitoring - Vegetation Mapping Program to classify, describe, and map vegetation communities in more than 280 national park units across the United States. The classification and map follow the guidelines and requirements of the national program, and are based on data collected from 499 field plots between 2007 and 2011 plus 469 independent survey points to assess the accuracy of the map and completeness of the classification.
A vegetation map of Bandelier National Monument. This map is based on natural color orthophotography acquired in 2004 with a spatial resolution of 1 meter, displayed at 1:24,000 scale. Map units were delineated using aerial photo interpretation and image analysis based on 729 field survey points collected between 2003 and 2006. Final map compiled in ArcGIS Version 9.3, January, 2010. For details see Muldavin, E., A. Kennedy, C. Jackson, T. Neville, P. Neville, K. Schulz, and M. Reid. 2010. A Vegetation Classification and Map Report: Bandelier National Monument. Natural Resource Technical Report NPS/SCPN/NRTR-2010/00X, National Park Service, Fort Collins, Colorado.
This data represents a vegetation map for New River Gorge National River. It contains nonoverlapping polygons which represent vegetation classes, aquatic features, and cultural features. Vegetation types were classified based on statistical analysis of plot data collected on the ground from 1998 through 2005. Polygons were delineated based on interpretation of digital and hard copy aerial photography flown in 2003.
This data represents a vegetation map for Bluestone National Scenic River. It contains nonoverlapping polygons which represent vegetation classes, aquatic features, and cultural features. Vegetation types were classified based on statistical analysis of plot data collected on the ground from 2003 through 2005. Polygons were delineated based on interpretation of digital and hard copy aerial photography flown in 2003.
We developed a vegetation classification and high-resolution vegetation map for El Malpais National Monument, New Mexico, as part of the USGS Vegetation Characterization Program, a cooperative effort by the U.S. Geological Survey (USGS) and the National Park Service Inventory & Monitoring - Vegetation Mapping Program to classify, describe, and map vegetation communities in more than 280 national park units across the United States. The classification and map follow the guidelines and requirements of the national program, and were based on data collected from 476 field plots between 2006 and 2009. Based on the field sampling, we identified 50 plant associations following the guidelines of the National Vegetation...
This data represents a vegetation map for Gauley River National Recreation Area. It contains nonoverlapping polygons which represent vegetation classes, aquatic features, and cultural features. Vegetation types were classified based on statistical analysis of plot data collected on the ground from 1995 through 2009. Polygons were delineated based on interpretation of digital and hard copy aerial photography flown in 2003. This data set was created by clipping the GARIvegetation feature class by the boundary of Gauley River National Recreation Area. Multipart polygons created by the clip operation were converted to single part polygons. Hectares and acres were calculated for each polygon using XTools.
These data represent a vegetation map for Vicksburg National Military Park and Vicksburg National Cemetery. The data consist of nonoverlapping polygons which represent National Vegetation Classification vegetation types, and non-vegetated land cover features. Vegetation types were classified based on analysis of plot data and supplemental observations collected on the ground from 2004 through 2010. Polygons were delineated based on interpretation of digital aerial photography flown in 2004 and terrian modeling. More detailed methodology is documented in Lea, Waltermire, and Nordman (2013).
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