49495 2011_vt_naip Data Set Published / External 49403 Imagery - partner (no harvest) Project Completed 2012-01-12 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. 11941 Theme ISO 19115 Topic Category imageryBaseMapsEarthCover Theme Aerial Compliance Theme Compliance Theme Digital Ortho rectified Image Theme NAIP Theme Ortho Rectification Theme Quarter Quadrangle Centered Theme farming Spatial Geographic Names Information System 4207201 Spatial Geographic Names Information System 50025 Spatial Geographic Names Information System MOUNT SNOW Spatial Geographic Names Information System MOUNT SNOW, NE Spatial Geographic Names Information System VT Spatial Geographic Names Information System VT025 Spatial Geographic Names Information System WINDHAM CO VT FSA Spatial Geographic Names Information System Windham Office for Coastal Management Charleston SC Data Set Irregular Image (digital) 32-bit pixels, 4 band color(RGBIR) values 0 - 255 None Users must assume responsibility to determine the appropriate use of these data. DATA SHOULD NOT BE USED FOR LEGALLY BINDING APPLICATIONS. Data Steward 2012-01-12 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Distributor 2012-01-12 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Metadata Contact 2012-01-12 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Point of Contact 2012-01-12 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Ground Condition -73.512 -71.264 45.098 42.615 Discrete 2011-09-19 Yes 2 Point No Row 1 Column 1 Unclassified There are no limitations for access. 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. https://coast.noaa.gov/dataregistry/ Downloadable Data Erdas Imagine (.img) and TIFF / BigTIFF / GeoTIFF (.tif) IMG - ERDAS Imagine https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=6298 Customized Download Create custom data files by choosing area, map projection, file format, etc. https://coastalimagery.blob.core.windows.net/digitalcoast/VT_NAIP_2011_6298/index.html Bulk Download Simple download of data files. https://coast.noaa.gov/dataviewer Online Resource 2017-05-19 Date that the source FGDC record was last modified. 2017-11-14 Converted from Content Standard for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details. 2018-02-08 Partial upload of Positional Accuracy fields only. 2018-03-13 Partial upload to move data access links to Distribution Info. Unknown FSA Digital Orthophoto Specs. None NAIP 3.75 minute tile file names are based on the USGS quadrangle naming convention. MOUNT SNOW, NE 2012-01-12 Discrete 2011-09-19 Digital Georectified Image. | Source Geospatial Form: remote-sensing image | Type of Source Media: UnKnown 1 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 gov.noaa.nmfs.inport:49495 Anne Ball 2017-11-15T15:15:09 Kirk Waters 2024-01-11T12:13:38 2024-01-11 OCM Partners OCMP 1002 Public No No 2018-03-13 1 Year 2019-03-13