gov.noaa.nmfs.inport:49495
eng
UTF8
dataset
OCM Partners
resourceProvider
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
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https://coast.noaa.gov
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NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
pointOfContact
2023-10-17T16:12:16
ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data
ISO 19115-2:2009(E)
2
row
1
column
1
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2011 Vermont NAIP Digital Ortho Photo Imagery
2011_vt_naip
2012-01-12
publication
NOAA/NMFS/EDM
49495
https://www.fisheries.noaa.gov/inport/item/49495
WWW:LINK-1.0-http--link
Full Metadata Record
View the complete metadata record on InPort for more information about this dataset.
information
https://coast.noaa.gov/dataviewer
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Citation URL
Online Resource
download
imageDigital
This data set contains imagery from the National Agriculture
Imagery Program (NAIP). NAIP acquires digital ortho imagery
during the agricultural growing seasons in the continental U.S..
A primary goal of the NAIP program is to enable availability of
of ortho imagery within one year of acquisition. NAIP provides
four main products: 1 meter ground sample distance (GSD) ortho
imagery rectified to a horizontal accuracy of within +/- 5
meters of reference digital ortho quarter quads (DOQQ's) from
the National Digital Ortho Program (NDOP); 2 meter GSD
ortho imagery rectified to within +/- 10 meters of reference
DOQQs; 1 meter GSD ortho imagery rectified to within +/- 6
meters to true ground; and, 2 meter GSD ortho imagery rectified
to within +/- 10 meters to true ground. The tiling format of
NAIP imagery is based on a 3.75' x 3.75' quarter quadrangle
with a 300 meter buffer on all four sides. NAIP quarter quads
are formatted to the UTM coordinate system using NAD83. NAIP
imagery may contain as much as 10% cloud cover per tile.
Original contact information:
Contact Org: Aerial Photography Field Office (APFO)
Phone: 801-844-2922
Email: apfo.sales@slc.usda.gov
NAIP imagery is available for distribution within 60 days
of the end of a flying season and is intended to provide current
information of agricultural conditions in support of USDA farm
programs. For USDA Farm Service Agency, the 1 meter GSD product
provides an ortho image base for Common Land Unit boundaries and
other data sets. The 1 meter NAIP imagery is generally acquired
in projects covering full states in cooperation with state
government and other federal agencies who use the imagery for a
variety of purposes including land use planning and natural
resource assessment. With an annual cycle, NAIP is also used
for disaster response often providing the most current pre-event
imagery. While suitable for a variety of uses the 2 meter
GSD NAIP imagery is primarily intended to assess crop condition
and compliance to USDA farm program conditions. The 2
meter imagery is generally acquired only for agricultural areas
within state projects.
completed
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
pointOfContact
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
custodian
irregular
4207201
50025
MOUNT SNOW
MOUNT SNOW, NE
VT
VT025
WINDHAM CO VT FSA
Windham
place
Geographic Names Information System
Aerial Compliance
Compliance
Digital Ortho rectified Image
NAIP
Ortho Rectification
Quarter Quadrangle Centered
farming
theme
Imagery - partner (no harvest)
project
InPort
otherRestrictions
Cite As: OCM Partners, [Date of Access]: 2011 Vermont NAIP Digital Ortho Photo Imagery [Data Date Range], https://www.fisheries.noaa.gov/inport/item/49495.
NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose.
otherRestrictions
otherRestrictions
Access Constraints: There are no limitations for access. | Use Constraints: Imagery may be replaced to address defects found in a
small number of products through quality assurance
processes. Imagery containing defects that require
the acquisition of new imagery, such as excessive
cloud cover, specular reflectance, etc., will not be
replaced within a NAIP project year. | Distribution Liability: Users must assume responsibility to determine the appropriate use of these data. DATA SHOULD NOT BE USED FOR LEGALLY BINDING APPLICATIONS.
unclassified
NOAA Data Management Plan (DMP)
NOAA/NMFS/EDM
49495
https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/49495.pdf
WWW:LINK-1.0-http--link
NOAA Data Management Plan (DMP)
NOAA Data Management Plan for this record on InPort.
information
crossReference
grid
eng; US
imageryBaseMapsEarthCover
Unknown
-73.512
-71.264
42.615
45.098
| Currentness: Ground Condition
2011-09-19
false
eng
false
None
IMG - ERDAS Imagine
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
distributor
https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=6298
WWW:LINK-1.0-http--link
Customized Download
Create custom data files by choosing area, map projection, file format, etc.
download
https://coast.noaa.gov/htdata/raster3/imagery/VT_NAIP_2011_6298
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Bulk Download
Simple download of data files.
download
https://coast.noaa.gov/dataregistry/
WWW:LINK-1.0-http--link
https://coast.noaa.gov/dataregistry/
Downloadable Data
download
dataset
Horizontal Positional Accuracy
FSA Digital Orthophoto Specs.
Completeness Report
None
Conceptual Consistency
NAIP 3.75 minute tile file names are based
on the USGS quadrangle naming convention.
The imagery was collected using ADS40-SH52 digital sensors.\n
Collection was performed using a combination of twin-engine\n
aircraft flying at an average flying height of 17500 and\n
27000 ft above mean terrain, with nominal sidelap of 21%,\n
giving the collected data nominal ground sampling distance\n
of 0.55 and 0.75 meters. Based-upon the CCD Array\n
configuration present in the ADS40 digital sensor, imagery\n
for each flight line is 12,000-pixels in width. Red, Green,\n
Blue, Near-Infrared and Panchromatic image bands were\n
collected.\n
Collected data was downloaded to portable hard drives and\n
shipped to the processing facility daily. Raw flight data\n
was extracted from external data drives using GPro software.\n
Airborne GPS / IMU data was post-processed using IPAS, PosPac\n
and/or TerraPos software and reviewed to ensure sufficient\n
accuracy for project requirements.\n
Using Pictovera software, planar rectified images were\n
generated from the collected data for use in image quality\n
review. The planar rectified images were generated at five\n
meter resolution using a two standard deviation histogram\n
stretch. Factors considered during this review included but\n
were not limited to the presence of smoke and/or cloud cover,\n
contrails, light conditions, sun glint and any sensor or\n
hardware-related issues that potentially could result in\n
faulty data. When necessary, image strips identified as not\n
meeting image quality specifications were re-flown to obtain\n
suitable imagery.\n
Aerotriangulation blocks were defined primarily by order of\n
acquisition and consisted of four to seventeen strips.\n
Image tie points providing the observations for the least\n
squares bundle adjustment were selected from the images using\n
an autocorrelation algorithm. Photogrammetric control points\n
consisted of photo identifiable control points, collected\n
using GPS field survey techniques. The control points were\n
loaded in to a softcopy workstation and measured in the\n
acquired image strips. A least squares bundle adjustment\n
of image pass points, control points and the ABGPS was\n
performed to develop an aerotriangulation solution for each\n
block using Pictovera software. Upon final bundle\n
adjustment, the triangulated strips were ortho-rectified to\n
the USGS NED DEM for the project area. The images were\n
re-sampled from the raw resolution of 0.55 or 0.75 meters to\n
the required resolution of 1.0 meters.\n
Positional accuracy was reviewed in the rectified imagery\n
by visually verifying the horizontal positioning of the\n
known photo-identifiable survey locations using ArcGIS\n
software.\n
The red, green, blue, and NIR bands were combined to\n
generate a final ortho-rectified image strip. The ADS40\n
sensor collects twelve bit image data which requires\n
radiometric adjustment for output in standard eight bit\n
image channels. The ortho-rectified image strips were\n
produced with the full 12 bit data range, allowing\n
radiometric adjustment to 8 bit range to be performed on\n
a strip by strip basis during the final mosaicking steps.\n
The imagery was mosaicked using manual seamline generation\n
in Orthovista Seam Editor (OVSE). The 12 bit data range was\n
adjusted for display in standard eight bit image channels by\n
defining a piecewise histogram stretch using OrthoVista\n
software. A constant stretch was defined for each image\n
collection period, and then strip by strip adjustments were\n
made as needed to account for changes in sun angle and\n
azimuth during the collection period. Strip adjustments were\n
also made to match the strips histograms as closely as\n
possible to APFO specified histogram metrics and color\n
balance requirements. Automated balancing algorithms\n
were applied to account for bi-directional reflectance as\n
a final step before the conversion to 8 bit data range.\n
APFO specified DOQQs were extracted from the final mosaic\n
in GeoTIFF format. 4-Band DOQQs were produced and 3-B
2012-01-12T00:00:00
Source Contribution: Digital Georectified Image. | Source Geospatial Form: remote-sensing image | Type of Source Media: UnKnown
MOUNT SNOW, NE
2012-01-12
publication
USDA-FSA-APFO Aerial Photography Field Office
2011-09-19