Imagery data for the Vegetation Mapping Inventory Project of Palo Alto Battlefield National Historical 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.
The 1999 CIR scenes were scanned and subsequently mosaicked to create a continuous coverage of PAAL and adjacent lands at a <1-m spatial resolution. The spatial resolution or image element (pixel) was determined by the original photographic scale and scanning resolution. Color infrared photography was scanned in the blue, green, and red wavelength ranges creating three image planes related to the green, red, and near infrared landscape components. All three image planes were entered into the classification. All landscape classifications employed a widely used and documented progressive clustering technique driven by an unsupervised K-means clustering algorithm (PCI Geomatics 1998, Ramsey and Laine 1997, Ramsey et al. 1998, Ramsey et al. 2002). In the classifications, the spectral values associated with each image element (pixel) were combined into spectrally similar clusters. These clusters were then associated with identifiable earth landscape features.
Complete Metadata
| 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. The 1999 CIR scenes were scanned and subsequently mosaicked to create a continuous coverage of PAAL and adjacent lands at a <1-m spatial resolution. The spatial resolution or image element (pixel) was determined by the original photographic scale and scanning resolution. Color infrared photography was scanned in the blue, green, and red wavelength ranges creating three image planes related to the green, red, and near infrared landscape components. All three image planes were entered into the classification. All landscape classifications employed a widely used and documented progressive clustering technique driven by an unsupervised K-means clustering algorithm (PCI Geomatics 1998, Ramsey and Laine 1997, Ramsey et al. 1998, Ramsey et al. 2002). In the classifications, the spectral values associated with each image element (pixel) were combined into spectrally similar clusters. These clusters were then associated with identifiable earth landscape features. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "1_paalortho.pdf",
"format": "pdf",
"mediaType": "application/pdf",
"description": "Mosaicked Imagery",
"downloadURL": "https://irma.nps.gov/DataStore/DownloadFile/568983?Reference=2233727"
}
]
|
| identifier | http://datainventory.doi.gov/id/dataset/NPS_DataStore_2233727 |
| issued | 1999-01-01T00:00:00Z |
| 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/2233727 |
| modified | 1999-01-01T00:00:00Z |
| programCode |
[
"010:118",
"010:119"
]
|
| publisher |
{
"name": "National Park Service",
"@type": "org:Organization"
}
|
| spatial | -100.508148,25.8368855,-81.2157059,36.3803329 |
| theme |
[
"Imagery"
]
|
| title | Imagery data for the Vegetation Mapping Inventory Project of Palo Alto Battlefield National Historical Park |
