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<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>These are digital orthophotos covering all, or selected portions of AL, AR, AZ, CO, DE, FL, GA, IA, ID, IL, KS, LA, MD, ME, MN, MT, ND, NJ, NY, OH, OK, PA, SC, WA, WI, and WY, acquired in 2015 ranging from 0.5 to 1 meter resolution, as provided by the USDA's Farm Production and Conservation office (FPAC). The data contains four bands, representing red, green, blue, and near infrared wavelengths, making the data suitable for analysis using either a true-color band combination or a false-color band combination.</SPAN></P><P><SPAN>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 ortho imagery within one year of acquisition. Approximately half of the US is collected each year and each state is typically collected every other year. NAIP provides two main products: 1 meter/60 centimeter 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); and 1 meter/60 centimeter GSD ortho imagery rectified to within +/- 6 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. The NAIP services are published in Web Mercator. NAIP imagery may contain as much as 10% cloud cover per tile.</SPAN></P><P><SPAN>A digital orthophoto is a georeferenced image prepared from aerial imagery, or other remotely-sensed data in which the displacement within the image due to sensor orientation and terrain relief has been removed. Orthophotos combine the characteristics of an image with the geometric qualities of a map. Orthoimages show ground features such as roads, buildings, and streams in their proper positions, without the distortion characteristic of unrectified aerial imagery. Digital orthoimages produced and used within the Forest Service are developed from imagery acquired through various national and regional image acquisition programs. The resulting orthoimages, also known as orthomaps, can be directly applied in remote sensing, GIS and mapping applications. They serve a variety of purposes, from interim maps to references for earth science investigations and analysis. Because of the orthographic property, an orthoimage can be used like a map for measurement of distances, angles, and areas with scale being constant everywhere. Also, they can be used as map layers in GIS or other computer-based manipulation, overlaying, and analysis. An orthoimage differs from a map in a manner of depiction of detail; on a map only selected detail is shown by conventional symbols, whereas on an orthoimage all details appear just as in original aerial or satellite imagery.</SPAN></P></DIV></DIV></DIV>
These are digital orthophotos covering selected states acquired in 2015 ranging from 0.5 to 1 meter resolution. This data is served to support Forest Service strategic goals, including: sustain our National Forests and Grasslands, deliver benefits to the public, apply knowledge globally, and excel as a high-performing agency, as well as the U.S. Dept. of Agriculture's goals to combat climate change and ensure America's agricultural system is equitable, resilient, and prosperous.
These datasets were provided by the USDA's Farm Production and Conservation office (FPAC) and are served by the U.S. Forest Service Geospatial Technology & Applications Center (GTAC), in cooperation with the U.S. Department of the Interior's Geospatial Platform (GeoPlatform), as part of the Interdepartmental Imagery Publication Platform (IIPP).
USFS IIPP Support
USFS
Support
sm.fs.IIPP_Support@usda.gov
USFS IIPP Support
RGBI
VNIR
USFS
U.S. Forest Service
aerial imagery
orthoimagery
orthophoto
aerial photography
Geospatial Technology & Applications Center
GTAC
IIPP
Interdepartmental Imagery Publication Platform
NAIP
National Agriculture Imagery Program
FPAC
Farm Production and Conservation
CONUS
conterminous United States
AL
AR
AZ
CO
DE
FL
GA
IA
ID
IL
KS
LA
MD
ME
MN
MT
ND
NJ
NY
OH
OK
PA
SC
WA
WI
WY
2015
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, and assumes no legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.</SPAN></P></DIV></DIV></DIV>
RGBI; VNIR; USFS; U.S. Forest Service; aerial imagery; orthoimagery; orthophoto; aerial photography; Geospatial Technology & Applications Center; GTAC; IIPP; Interdepartmental Imagery Publication Platform; NAIP; National Agriculture Imagery Program; FPAC; Farm Production and Conservation;
CONUS; conterminous United States; AL; AR; AZ; CO; DE; FL; GA; IA; ID; IL; KS; LA; MD; ME; MN; MT; ND; NJ; NY; OH; OK; PA; SC; WA; WI; WY;
2015;
2015;
NAIP2015_CONUS
2023-11-28T00:00:00
USFS IIPP Support
USFS
Support
sm.fs.IIPP_Support@usda.gov
-122.988654
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USFS IIPP Support
USFS
Support
sm.fs.IIPP_Support@usda.gov
USFS IIPP Support
Microsoft Windows Server 2016 Technical Preview Version 10.0 (Build 17763) ; Esri ArcGIS 13.2.0.49743
USFS IIPP Support
USFS
Support
sm.fs.IIPP_Support@usda.gov
USFS IIPP Support
brightness value
pixel
horizontal accuracy
pixel
The lineage for the individual datasets within this image service prior to GTAC's receipt is beyond the scope of this project. GTAC processes the data in a manner to preserve original pixel values, including using lossless compression while converting the data to cloud-optimized formats. Individual steps in producing the image services may include, but are not limited to producing image mosaics, calculating data statistics, creating overview images, and setting and adjusting mosaic parameters for optimal performance and data rendering.
The radiometric accuracy of these datasets are determined during image collection by atmospheric conditions and the hardware, sensor, and software used by the vendor who produced the data and are either not currently available or beyond the scope of this project. It is the end-user's responsibility to verify whether this dataset suits their needs with regards to quality, precision, and accuracy.
brightness value
unknown
0 - 255
Lmb
horizontal accuracy
m
+/- 5 or 6 meters
distance
NAIP provides two main products: 1 meter/60 centimeter 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); and 1 meter/60 centimeter GSD ortho imagery rectified to within +/- 6 meters to true ground.
2
0
0
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Band_1
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Green
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Blue
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Band_3
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0
Band_4
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255
0
Brightness value
False
False
False
False
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