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Natural and semi-natural vegetation covers 4,209.6 acres (1,703.6 ha), or >98% of the park. Of that area, 76% is in woodland or forest and 23% is herbaceous vegetation. Two-thirds of the grasslands are mowed more than once annually and are dominated primarily by the non-native tall fescue (Schedonorusphoenix). Dry and typic upland oak-hickory woodland and forest together comprise 2,481 acres (1,004 ha), or 59% of the natural and semi-natural vegetation of the park.
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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.
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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.
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This polygon feature class represents vegetation communities mapped at Canyonlands National Park. The polygons were generated using guidelines set by the Standardized National Vegetation Classification System (October 1995). A combination of methods were used to map Canyonlands. The USGS used e-Cognition software to create segments. The segments created were then looked at and extensively edited by the vegetation mappers. Some mapping was done on screen, using the 2002 imagery. Hard copy 9X9 photography was used for photo interpretation. Traditional image interpretation cues were used to develop the polygons, such as shape, size, pattern, tone, texture, color, and shadow. Additional data layers were used in aiding...
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The geographic information system (GIS) format spatial data set of vegetation for Moores Creek National Battlefield (MOCR) was created by the National Park Service (NPS) Southeast Coast Inventory and Monitoring Network (SECN). The MOCR covers an area of approximately 70 ha (173 acres). The map classification scheme used to create the vegetation data set is designed to represent local plant communities at the finest level possible using the National Vegetation Classification System. The vegetation data set was developed by interpreting aerial photographs collected in 2009 and extensive field surveys. Individuals who cooperated in this project include: the Southeast Regional Office of NatureServe and the NPS SECN....
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The vegetation units on this map were determined through a series of image processing steps including unsupervised classification, ecological modeling and stereoscopic interpretation of aerial photographs supported by field sampling and ecological analysis. The vegetation boundaries were identified on the photographs by means of the photographic signature and collateral information on slope, hydrology, geography, and vegetation in accordance with the Standardized National Vegetation Classification System (October 1995). The mapped vegetation reflects conditions that existed during the specific year and season that the aerial photographs were taken. There is a margin of error inherent in the use of aerial photographs....
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Most of WICR, including 1,836 acres (743 hectares), or 93%, is semi-natural, whereas 7% is developed or in croplands designed to enhance interpretation of the battlefield during the engagement. Grasslands, including periodically mowed or burned open areas, cover roughly half of WICR. Successional woodlands and forests cover the other half. Small glades, though they cover Lesquerellafiliformis; Annis et al. 2011). Open areas at WICR are variable across years due to periodic mowing or burning. After mowing or prescribed fire, areas show a grassland aspect for one season, and thereafter appear increasingly shrub-dominated as perennial shrubs overtop grasses. Open areas also vary across short spatial scales, which reflects...
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The National Park Service (NPS) Vegetation Inventory Program (VIP) is an effort to classify, describe, and map existing vegetation of national park units as part of generating baseline data products for the NPS Natural Resources Inventory and Monitoring Program. Plot data were collected during field visits to SAJH during the summer of 2010 and spring of 2011. Vegetation polygons were initially developed using aerial photography within ArcGIS. These polygons were modified based on field work conducted during the summer of 2010 and spring of 2011. The small extent of the park allowed classification data collection to occur simultaneously with field-based mapping. Prior to conducting field visits, existing vegetation...
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A vegetation map of Thomas Stone National Historic Site based on field surveys conducted in 2001, interpretation of aerial photography acquired in 2002, and accuracy assessment field surveys completed in 2003 and 2004. This vegetation dataset includes twelve associations (seven semi-natural types and four types of recent anthropogenic origin), as well as two modified Anderson level II categories.
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This polygon feature class represents vegetation communities mapped at Dinosaur National Monument. The polygons were delineated following guidelines set by the National Vegetation Classification System (October 1995). Original lines were drawn on a mylar overlay on top of printed 1:12,000 digital scale orthophoto quadrangles (DOQ), collected in the summer of 2002. Hard copy 9X9 stereo aerial photography was used for photo interpretation. Intuitive ecological modeling and visual interpretation cues, such as shape, size, pattern, tone, texture, color, and shadow, were used to develop the polygons. Additional data layers used to aid the interpretation include slope, hydrology, geography, and ground-collected vegetation...
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This polygon feature class represents vegetation communities mapped at Arches National Park to an alliance or association level, depending on the photo signature. The polygons were generated using guidelines set by the Standardized National Vegetation Classification System (October 1995). Original lines were drawn on mylar overlays using the DOQs collected in June of 2002. Hard copy 9x9 photography was used for photo interpretation. Traditional image interpretation cues were used to develop the polygons, such as shape, size, pattern, tone, texture, color, and shadow. Additional data layers were used in aiding the interpretation, such as slope, hydrology, soils, geography, and ground-collected vegetation information....
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This polygon feature class represents vegetation communities mapped at Capitol Reef National Park to an alliance or association level, depending on the photo signature. The polygons were generated using guidelines set by the Standardized National Vegetation Classification System (October 1995). Original lines were drawn on-screen using the DOQs collected in June of 2002 as a base map. Hard copy 9X9 photography was used for photo interpretation. Traditional image interpretation cues were used to develop the polygons, such as shape, size, pattern, tone, texture, color, and shadow. Additional data layers were used in aiding the interpretation, such as slope, hydrology, geography, and ground-collected vegetation information....
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Vegetation map of Roosevelt - Vanderbilt National Historic Sites provides local names for vegetation types, as well as crosswalks to the National Vegetation Classification System (NVCS), including association, alliance and formation level attributes. This dataset is post-Accuracy Assessment, so the thematic accuracy is not known. The original pre-Accuracy Assessment dataset has an accuracy that has been determined, and this is the "corrected", but untested, version.From technical report: [Based on the accuracy assessment sampling data and the final classification of 50 vegetation associations, the association-level maps [pre-AA] were revised to correct errors and create more accurate vegetation association polygon...
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A total of 188 acres (76 hectares) were within the accepted boundaries of HEHO (Figure 7). The standard minimum mapping unit for NPS vegetation inventory projects is defined as 0.5 hectare, although several mapped polygons were smaller for HEHO. Restored tallgrass prairie made up most of the current vegetation of the park, and accounted for 71.6 acres (29 hectares) in nine polygons, or 58.0% of the total non-developed area. Pasture and old field made up 38.9 acres (15.7 hectares), or 31.6% of the area, in a single polygon. Forb ruderal herbaceous vegetation made up 7.4% of the area in four polygons, and bottomland ruderal woodland made up 2.8 acres (1.1 hectares), or 1.1% of the area. Reed canarygrass, western herbaceous...
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This shapefile was made in 2009. Photo interpretation for these polygons were based on the 2007 Army Corp (imagery_armycorp file) imagery. This feature class is the end product for the SARI vegetation product. To fully comprehend this feature class, please refer to the full "Salt River Bay National Historical Park & Ecological Preserve, U.S. Virgin Islands Vegetation Mapping Project, 2009" report: Moser, J. G., K. R. T. Whelan, R. B. Shamblin, A. J. Atkinson, J. M. Patterson. 2011. Salt River Bay National Historical Park & Ecological Preserve, U.S. Virgin Islands, Vegetation Mapping Project, 2009. Natural Resource Technical Report. NPS/SFCN/NRTR-2011/448. National Park Service, Fort Collins, Colorado.


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