Description:This data set contains imagery from the National Agriculture Imagery Program (NAIP) covering New Hampshire and displayed as CIR.
The NAIP program is administered by USDA FSA and has been established to support two
main FSA strategic goals centered on agricultural production. These are, increase stewardship of
America's natural resources while enhancing the environment, and to ensure commodities
are procured and distributed effectively and efficiently to increase food security.
The NAIP program supports these goals by acquiring and providing ortho imagery that has
been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored
to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation
programs. Ortho imagery provides an effective, intuitive means of communication about farm
program administration between FSA and stakeholders.
New technology and innovation is identified by fostering and maintaining a relationship with vendors
and government partners, and by keeping pace with the broader geospatial community. As a result
of these efforts the NAIP program provides three main products: DOQQ tiles, Compressed County
Mosaics (CCM), and Seamline shape files The Contract specifications for NAIP imagery have changed
over time reflecting agency requirements and improving technologies. These changes include image
resolution, horizontal accuracy, coverage area, and number of bands. In general, flying seasons are
established by FSA and are targeted for peak crop growing conditions. The NAIP acquisition cycle
is based on a minimum 3 year refresh of base ortho imagery. The tiling format of the NAIP imagery
is based on a 3.75' x 3.75' quarter quadrangle with a 300 pixel buffer on all four sides.
NAIP quarter quads are formatted to the UTM coordinate system using the North American Datum of 1983.
NAIP imagery may contain as much as 10% cloud cover per tile.
NH GRANIT performed additional processing to mosaic the DOQQ tiles into a statewide mosaic while also
converting the spatial reference system from UTM to NH Stateplane. Users will also notice a distinct
seamline where snowfall is present in the north west and southern sectors of the imagery. These
conditions were present in the source data and therefore could not be avoided.