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Vicmap Vegetation
This dataset contains vegetation features represented by polygons. It is part of the Vicmap suite of products. Includes tree density levels. Datasets in the series are listed below. See their metadata entries for more detailed metadata. Tree Density - Vicmap Vegetation (TREE_DENSITY)
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Vicmap Vegetation - Tree Density Polygon
공공데이터포털
The Vicmap Vegetation Tree Extent dataset was generalised to 2m pixels and then clustering rules were applied to group the data into three density classes (Dense, Medium, Sparse). This classification was a pixel by pixel assessment where a pixel was allocated a density classification based on neighbouring pixels. The raster dataset was then converted to vector. The process of grouping tree cover into density classes simplifies the representation of trees and reduces the complexity of the vector dataset. It is a effective way of representing tree cover. The original raw 20cm raster dataset is maintained as a separate dataset, Vicmap Vegetation Tree Extent.
Vicmap Hydro
공공데이터포털
This dataset series contains line, point & polygon features delineating hydrology. It is a combination of a number of data sets that are a part of Vicmap Hydro. Datasets in the series are listed below. See their metadata entries for more detailed metadata. Features include (but are not limited to); rivers, lakes, dams, reservoirs, marinas, and desalination plants. Watercourse Network 1:25,000 - Vicmap Hydro (HY_WATERCOURSE); Water Point 1:25,000 - Vicmap Hydro (HY_WATER_POINT); Water Area (polygon) 1:25,000 - Vicmap Hydro (HY_WATER_AREA_POLYGON): Water Area Fuzzy (polygon) - Vicmap Hydro (HY_WATER_AREA_FUZZY): Water Structure Point 1:25,000 - Vicmap Hydro (HY_WATER_STRUCT_POINT); Water Structure Line 1:25,000 - Vicmap Hydro (HY_WATER_STRUCT_LINE); Water Structure Area (polygon) 1:25,000 - Vicmap Hydro (HY_WATER_STRUCT_AREA_POLYGON); Navigation Line 1:25,000 - Vicmap Hydro (HY_NAVIGATION_LINE); Navigation Point 1:25,000 - Vicmap Hydro (HY_NAVIGATION_POINT);
Vicmap Index - Framework Polygon
공공데이터포털
This layer represents polygons for the state boundary, zero contour, coastline and the data extent for Vicmap Elevation & Vicmap Features, Vicmap Hydro, Vicmap Transport.
Geospatial data for the Vegetation Mapping Inventory Project of Fort Frederica National Monument
공공데이터포털
The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. A geodatabase containing various feature-class layers and tables show the locations of vegetation types and general land cover (vegetation map), vegetation plot samples, AA sites, project boundary extent, and aerial photographic centers. The feature-class layer for the FOFR vegetation map provides 50 polygons of detailed attribute data covering 192 ha, with an average polygon size of 8.9 ha. Of the area mapped, 33 polygons (66%) represent natural vegetation types in the NVCS, encompassing 117 ha (61% of the total map extent). A total of 12 map classes were developed to map the vegetation and general land cover of FOFR and surroundings, including the following: seven map classes representing natural vegetation at the association level in the National Vegetation Classification System (NVCS), one map class representing cultural vegetation (e.g., developed) in the NVCS, and four map classes representing non-vegetated units (e.g., open water bodies, buildings, roads, etc.). Features were interpreted using 1:12,000 scale digital color-infrared aerial photography (flown 07 May 2011) through heads-up-digitizing in ArcGIS (Version 10, © 2010 Environmental Systems Research Institute, Redlands, California). Polygons were mapped to a 0.5-ha minimum mapping unit (MMU).
Geospatial data for the Vegetation Mapping Inventory Project of Fort Frederica National Monument
공공데이터포털
The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. A geodatabase containing various feature-class layers and tables show the locations of vegetation types and general land cover (vegetation map), vegetation plot samples, AA sites, project boundary extent, and aerial photographic centers. The feature-class layer for the FOFR vegetation map provides 50 polygons of detailed attribute data covering 192 ha, with an average polygon size of 8.9 ha. Of the area mapped, 33 polygons (66%) represent natural vegetation types in the NVCS, encompassing 117 ha (61% of the total map extent). A total of 12 map classes were developed to map the vegetation and general land cover of FOFR and surroundings, including the following: seven map classes representing natural vegetation at the association level in the National Vegetation Classification System (NVCS), one map class representing cultural vegetation (e.g., developed) in the NVCS, and four map classes representing non-vegetated units (e.g., open water bodies, buildings, roads, etc.). Features were interpreted using 1:12,000 scale digital color-infrared aerial photography (flown 07 May 2011) through heads-up-digitizing in ArcGIS (Version 10, © 2010 Environmental Systems Research Institute, Redlands, California). Polygons were mapped to a 0.5-ha minimum mapping unit (MMU).
Geospatial data for the Vegetation Mapping Inventory Project of Timucuan Ecological and Historic Preserve
공공데이터포털
The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. A final vegetation map for TIMU was created to represent the vegetation occurring within the park during 2012. This product represents the final of four steps necessary to produce an accurate vegetation map based upon aerial photographs. This includes the determination of the community element global (CEGL) codes (2008) and acquisition of aerial imagery (2012), using the aerial imagery, with 162 ground truthing points (2014, 2015), to create a draft vegetation map, performing an accuracy assessment (2016), and then using all the available information to create a final vegetation map (2018).
Geospatial data for the Vegetation Mapping Inventory Project of Timucuan Ecological and Historic Preserve
공공데이터포털
The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. A final vegetation map for TIMU was created to represent the vegetation occurring within the park during 2012. This product represents the final of four steps necessary to produce an accurate vegetation map based upon aerial photographs. This includes the determination of the community element global (CEGL) codes (2008) and acquisition of aerial imagery (2012), using the aerial imagery, with 162 ground truthing points (2014, 2015), to create a draft vegetation map, performing an accuracy assessment (2016), and then using all the available information to create a final vegetation map (2018).
Geospatial data for the Vegetation Mapping Inventory Project of Acadia National Park
공공데이터포털
The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for Acadia National Park. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. The 53 vegetation communities are represented with 33 map classes. Fifty-eight map classes, including land use/land cover and park specific categories, were used to map Acadia NP and environs. Color infrared aerial photographs, collected in late May 1997 at a scale 1:15,840, were used for photointerpretation. Spring photography was chosen so fieldwork and mapping could begin that same year. Using spring photography limited the ability to map some NVCS vegetation types accurately. Photointerpretation data were manually transferred to orthophoto quadrangle maps (1:12,000-scale) and then digitally automated for use in geographic information systems (GIS).
Geospatial data for the Vegetation Mapping Inventory Project of Acadia National Park
공공데이터포털
The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for Acadia National Park. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. The 53 vegetation communities are represented with 33 map classes. Fifty-eight map classes, including land use/land cover and park specific categories, were used to map Acadia NP and environs. Color infrared aerial photographs, collected in late May 1997 at a scale 1:15,840, were used for photointerpretation. Spring photography was chosen so fieldwork and mapping could begin that same year. Using spring photography limited the ability to map some NVCS vegetation types accurately. Photointerpretation data were manually transferred to orthophoto quadrangle maps (1:12,000-scale) and then digitally automated for use in geographic information systems (GIS).
Geospatial data for the Vegetation Mapping Inventory Project of Tumacacori National Historical Park
공공데이터포털
The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. The draft formation-level map was produced through limited field reconnaissance and visual interpretation of the pan-sharpened imagery and heads-up digitizing in ArcGIS to delineate polygons based on vegetation physiognomy. Spatial accuracy was assessed against 2006 digital orthophoto quarter quadrangle imagery, using 20 test points for each of the park’s three units. The maximum absolute error measured was less than 2 m ground distance, and maximum root mean square error was 1.03 m, well within the limits of the National Map Accuracy Standards.