National Agricultural Imagery Program (NAIP) Digital Orthorectified Images (DOQ), Minnesota, 2003-04

This data set contains natural color imagery from the National Agricultural Imagery Program (NAIP) and is comprised of scanned photographs that were acquired on color positive film. 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 ortho imagery within one year of acquisition.<br/><br/>The source files are 1 meter ground sample distance (GSD) ortho imagery rectified to a horizontal accuracy of within +/- 3 meters of reference digital ortho quarter quads (DOQQ's) from the National Digital Ortho Program (NDOP). 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 imagery may contain as much as 10% cloud cover per tile.<br/><br/>This file was generated by compressing NAIP quarter quadrangle tiles that cover a county. MrSID compression, with mosaic option, was used.<br/><br/>(Note: The Minnesota Geospatial Information Office has created this metadata record to describe the entire NAIP2003-04 dataset, using information from Farm Service Agency metadata provided in 2003 and 2004. Each county file is accompanied by the original FSA metadata for that county.)

Additional Info

Field Value
Last Updated March 24, 2018, 10:02
Created March 23, 2018, 10:02
dsAccessConst None
dsCurrentRef Summer 2003 or Summer 2004. If an area of a county could not be flown in 2003, it was filled with Summer 2004 imagery. To see the quarter-quadrangles missed in 2003, look at a list: <br/>or a map:<br/><br/>See the quarter-quad boundary shapefile accompanying each county mosaic to find out the date that the source imagery was acquired.
dsModifiedDate 2018-03-24 01:59:24
dsOriginator U.S. Department of Agriculture, Farm Service Agency, Aerial Photography Field Office
dsPurpose NAIP imagery serves as a base for Farm Service Center GIS applications and is used to administer USDA commodity support programs and conservation planning. The MrSID mosaics were compiled to provide a data format that is highly compressed (20:1) with minimal data loss.

Dataset extent