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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....
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...
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....
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....
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...
This polygon feature class represents vegetation communities mapped at Fossil Butte National Monument. The polygons were generated using guidelines set by the Standardized National Vegetation Classification System (October 1995). Polygons were generated using machine learning, as well as on screen digitizing of vegetation map types using 2004 imagery flown for the vegetation mapping project. Additional data layers were used in aiding the interpretation, such as slope, hydrology, geography, and ground-collected vegetation information. The attributed vegetation classes were subjected to an accuracy assessment, following which final adjustments were made to the vegetation classes. As with any digital layer, this layer...
Fort Bowie National Historic Site Vegetation Inventory and Mapping Project - Spatial Vegetation Data
This polygon feature class represents vegetation communities mapped at Fort Bowie National Historic Site to an alliance or association level. Field crews used landscape features as a guide 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. The draft polygons were printed out and taken into the field; Field crews modified boundaires and merged or split delineated polygons based on field observations. All edits were made on paper maqps and transferred into GIS later. The minimum mapping unit was 1/2 hectare. The attributed vegetation...
This polygon feature class represents vegetation communities mapped at Hovenweep National Monument. The polygons were generated using guidelines set by the USGS-NPS Vegetation Mapping Program (http://www.usgs.gov/core_science_systems/csas/vip/standards.html). Original vegetation map unit lines were drawn on mylar overlays of the project photography, then scanned to generate the linework. Due to the "snapshot" nature of the aerial photography, this vegetation layer largely reflects conditions that existed when the imagery was collected (August 1996).
This polygon feature class represents vegetation communities mapped at Pipe Spring National Monument. The polygons were delineated using guidelines set by the USGS-NPS Vegetation Mapping Program (http://www.usgs.gov/core_science_systems/csas/vip/standards.html). The vegetation map unit lines were drawn onscreen using the digital orthophotos available of the project area (collected May of 2006). The line work was cleaned, polygons created then attributed. As with any digital layer, this layer is a representation of what is actually occurring on the ground; errors are inherent in any interpretation of ground qualities. Due to the "snapshot" nature of the aerial photography, this vegetation layer largely reflects conditions...
The vegetation units on this map were determined through the 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. Therefore, a detailed ground and historical analysis of a single site may result in a revision...
The vegetation units on this map were determined through the 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. Therefore, a detailed ground and historical analysis of a single site may result in a revision...
This polygon feature class represents vegetation communities mapped at Timpanogos Cave National Monument. The polygons were generated using guidelines set by the Standardized National Vegetation Classification System (October 1995). Vegetation polygons were drawn on-screen using the aerial 2006 photography. 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. As with any digital layer, this layer is a representation of what is actually occurring on the ground at the time the imagery was...
This polygon feature class represents vegetation communities mapped at Curecanti National Recreation Area. 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, geography, and ground-collected vegetation information. The attributed vegetation classes were subjected to an accuracy...
Marsh-Billings-Rockefeller National Historic Park forested and non-forested land cover were typed with US National Vegetation Classification (2005) types, from 2004 Color Infrared, 1:8,000 scale photography and ground information. Data were projected to UTM, NAD83, zone 18, meters.
Tumacacori National Historic Park Vegetation Inventory and Mapping Project - Spatial Vegetation Data
This polygon feature class represents vegetation communities mapped at Tumacacori National Historic Park to an alliance or association level. landscape feature as a guide. d 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. The draft polygons were printed out and taken into the field; Field crews modified boundaires and merged or split delineated polygons based on field observations. All edits were made on paper maqps and transferred into GIS later. The minimum mapping unit was 1/2 hectare. The attributed vegetation classes were subjected...
This polygon feature class represents vegetation communities mapped at Black Canyon of the Gunnison National Park. 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, geography, and ground-collected vegetation information. The attributed vegetation classes were subjected to...
This polygon feature class represents vegetation communities mapped at Natural Bridges National Monument. The polygons were generated using guidelines set by the Standardized National Vegetation Classification System (October 1995). Original lines were drawn on a mylar overlay of printed 1:12,000 digital scale orthophoto quadrangles (DOQ), collected the summer 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, geography, and ground-collected vegetation information. The lines...
This polygon feature class represents vegetation communities mapped at Golden Spike National Historic Site. The polygons were generated using guidelines set by the Standardized National Vegetation Classification System (October 1995). Vegetation polygons were drawn on-screen using the aerial 2006 photography. 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. As with any digital layer, this layer is a representation of what is actually occurring on the ground at the time the imagery was...
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