Imagery data for the Vegetation Mapping Inventory Project of Cuyahoga Valley National Park
This reference contains the imagery data used in the completion of the baseline vegetation inventory project for the NPS park unit. Orthophotos, raw imagery, and scanned aerial photos are common files held here.
A total of 44 map classes were developed to map the vegetation and general land cover of CUVA, including the following: 29 map classes represent natural/semi-natural vegetation types in the NVCS, 12 map classes represent cultural vegetation (agricultural and developed) in the NVCS, and 3 map classes represent non-vegetation features (open-water bodies). Features were interpreted from viewing color-infrared digital aerial imagery dated October 2010 (during peak leaf-phenology change of trees) via digital onscreen three-dimensional stereoscopic workflow systems in geographic information systems (GIS). The interpreted data were digitally and spatially referenced, thus making the spatial database layers usable in GIS. Polygon units were mapped to either a 0.5 ha or 0.25 ha minimum mapping unit, depending on vegetation type.
Resources
3 resources available
-
1_cuvaortho.pdf
PDF -
2_cuvaortho_cir6.zip
ZIP -
3_cuvaortho_cir8.zip
ZIP
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"010:24"
]
|
| contactPoint |
{
"fn": "NPS IRMA Help",
"@type": "vcard:Contact",
"hasEmail": "mailto:NRSS_DataStore@nps.gov"
}
|
| description | This reference contains the imagery data used in the completion of the baseline vegetation inventory project for the NPS park unit. Orthophotos, raw imagery, and scanned aerial photos are common files held here. A total of 44 map classes were developed to map the vegetation and general land cover of CUVA, including the following: 29 map classes represent natural/semi-natural vegetation types in the NVCS, 12 map classes represent cultural vegetation (agricultural and developed) in the NVCS, and 3 map classes represent non-vegetation features (open-water bodies). Features were interpreted from viewing color-infrared digital aerial imagery dated October 2010 (during peak leaf-phenology change of trees) via digital onscreen three-dimensional stereoscopic workflow systems in geographic information systems (GIS). The interpreted data were digitally and spatially referenced, thus making the spatial database layers usable in GIS. Polygon units were mapped to either a 0.5 ha or 0.25 ha minimum mapping unit, depending on vegetation type. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "1_cuvaortho.pdf",
"format": "pdf",
"mediaType": "application/pdf",
"description": "Mosaicked Imagery",
"downloadURL": "https://irma.nps.gov/DataStore/DownloadFile/568148?Reference=2233556"
},
{
"@type": "dcat:Distribution",
"title": "2_cuvaortho_cir6.zip",
"format": "zip",
"mediaType": "application/zip",
"description": "Orthophotos 1",
"downloadURL": "https://irma.nps.gov/DataStore/DownloadFile/568149?Reference=2233556"
},
{
"@type": "dcat:Distribution",
"title": "3_cuvaortho_cir8.zip",
"format": "zip",
"mediaType": "application/zip",
"description": "Orthophotos 2",
"downloadURL": "https://irma.nps.gov/DataStore/DownloadFile/568150?Reference=2233556"
}
]
|
| identifier | http://datainventory.doi.gov/id/dataset/NPS_DataStore_2233556 |
| issued | 2013-11-01T00:00:00Z |
| keyword |
[
"Accuracy Assessment",
"Classification",
"Geodatabase",
"Habitat Types",
"Imagery",
"NVC",
"NVCS",
"National Vegetation Classification",
"Plots",
"Releve",
"Relevé",
"Remote Sensing",
"USNVCS",
"Vegetation",
"Vegetation Inventory",
"Vegetation Map",
"Vegetation Mapping",
"botanical survey"
]
|
| landingPage | https://irma.nps.gov/DataStore/Reference/Profile/2233556 |
| modified | 2013-11-01T00:00:00Z |
| programCode |
[
"010:118",
"010:119"
]
|
| publisher |
{
"name": "National Park Service",
"@type": "org:Organization"
}
|
| spatial | -99.275444,32.9172821,-80.5190048,45.0921555 |
| theme |
[
"Imagery"
]
|
| title | Imagery data for the Vegetation Mapping Inventory Project of Cuyahoga Valley National Park |
