2024 National Agriculture Imagery Program (NAIP) natural color .6-meter pixel resolution. The imagery was collected statewide from July 12, 2024 through September 25, 2024.This data set contains imagery from the National Agriculture Imagery Program (NAIP). The 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. The NAIP provides 30 and 60 centimeter ground sample distance (GSD) ortho imagery rectified to a horizontal accuracy within +/- 4 meters of reference digital ortho quarter quads (DOQQ's) from the National Digital Ortho Program (NDOP) or from the National Agriculture Imagery Program (NAIP). The tiling format of NAIP imagery is based on a 3.75' x 3.75' quarter quadrangle with a 12 pixel buffer on all four sides. The NAIP imagery is formatted to the UTM coordinate system using the North American Datum of 1983 (NAD83). The NAIP imagery may contain as much as 10% cloud cover per tile. This file was generated by compressing NAIP imagery that cover the county extent. Two types of compression may be used for NAIP imagery: MrSID and JPEG 2000. The target value for the compression ratio is 40:1 for imagery.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. Credits: USDA-FSA Aerial Photography Field Office, ND GIS Hub

The National Agriculture Imagery Program (NAIP) is administered by the U.S. Department of Agriculture's Farm Production and Conservation Business Center (FPAC-BC) Geospatial Enterprise Operations (GEO) Branch. NAIP acquired aerial imagery at a resolution of 1-meter ground sample distance (GSD) for the United States from 2003-2017 during the agricultural growing season, or leaf-on conditions. The images are orthorectified which combines the image characteristics of an aerial photograph with the georeferenced qualities of a map. In 2018, the ground resolution standard changed to 0.6 meter with the option for 0.3 meter data was added for consideration over coastal states. The repeat flying cycle was also changed to no longer than a 3-year cycle from its 5-year cycle back in 2003-2009. 2009 to present coverage provides a refresh of every 3-years and less responding to user needs across the United States. Each individual image tile is based on a 3.75-minute longitude by 3.75-minute latitude quarter quadrangle plus a 300-meter buffer on all four sides. In 2024 the buffer was changed to 12-meters on all four sides. Tiles in the NAIP collection are natural color (red, green, and blue bands) or color near infra-red (red, green, blue, and near infrared bands) and may contain as much as 10 percent cloud cover per tile.

What is NAIP? The National Agriculture Imagery Program (NAIP) acquires aerial imagery during the agricultural growing seasons in the contiguous U.S. A primary goal of the NAIP program is to make digital ortho photography available to governmental agencies and the public within a year of acquisition. NAIP is administered by the USDA's Farm Production and Conservation Business Center Geospatial Enterprise Operations Branch (GEO). This "leaf-on" imagery is used as a base layer for GIS programs in FSA's County Service Centers, and is used to maintain the Common Land Unit (CLU) boundaries. How can I Access NAIP?On the web FPAC-BC-GEO public image services can be accessed through the REST endpoint here. Compressed County Mosaics (CCMs) are available to the general public through the USDA Geospatial Data Gateway. All years of available imagery may be downloaded as 1/2, 1, or 2 meter CCMs depending on the original spatial resolution. CCMs with a file size larger than 8 GB are not able to be downloaded from the Gateway. Full resolution 4 band quarter quads (DOQQs) are available for purchase from FPAC GEO. Contact the GEO Customer Service Section for information on pricing for DOQQs and how to obtain CCMs larger than 8 GB. A NAIP image service is also available on ArcGIS Online through an organizational subscription. How can NAIP be used? NAIP is used by many non-FSA public and private sector customers for a wide variety of projects. A detailed study is available in the Qualitative and Quantitative Synopsis on NAIP Usage from 2004 -2008: Click here for a list of NAIP Information and Distribution Nodes. When is NAIP acquired? NAIP projects are contracted each year based upon available funding and the FSA imagery acquisition cycle. Beginning in 2003, NAIP was acquired on a 5-year cycle. 2008 was a transition year, a three-year cycle began in 2009, NAIP was on a two-year cycle until 2016, currently NAIP is on a 3 year refresh cycle. Click here >> for an interactive PDF status map of NAIP acquisitions from 2002 - 2018. The 2022 acquisition status dashboard is available here. What are NAIP Specifications? NAIP imagery is currently acquired at 60cm ground sample distance (GSD) with a horizontal accuracy that matches within four meters of photo-identifiable ground control points. The default spectral resolution beginning in 2010 is four bands: Red, Green, Blue and Near Infrared. Contractually, every attempt will be made to comply with the specification of no more than 10% cloud cover per quarter quad tile, weather conditions permitting. All imagery is inspected for horizontal accuracy and tonal quality. Make Comments/Observations about current NAIP imagery.If you use NAIP imagery and have comments or find a problem with the imagery please use the NAIP Imagery Feedback Map to let us know what you find or how you are using NAIP imagery. Click here to access the map.

Tile Index to the digital orthophoto quarter quadrangle TIFF file names and collection dates of the Montana 2023 National Agricultural Image Program (NAIP) files held by the Montana State Library.Each file is a four-band GeoTIFF image collected at a spatial resolution of 60 centimeters, with each pixel measuring roughly two feet on the ground. Imagery was collected in 2023. The collection was not completed. The rest was collected in 2024. 10,507 tiff tiles are included in the 2023 collection. Eighteen (18) counties do not have complete coverage: Beaverhead, Broadwater, Flathead, Gallatin, Glacier, Jefferson, Judith Basin, Lake, Lewis and Clark, Lincoln, Madison, Meagher, Missoula, Park, Powell, Stillwater, Sweet Grass, and Teton. A map with the 2023 collection can be viewed at: https://ftpgeoinfo.msl.mt.gov/Data/Spatial/MSDI/Imagery/2023_NAIP/NAIP2023Collection.pdfTo order these files from the Library, select the files you want from this data layer and submit a Support Ticket to the Library: https://msl.mt.gov/geoinfo/Help/

The increasing demand for high spatial resolution in remote sensing imagery has led to the necessity of super-resolution (SR) algorithms that convert low-resolution (LR) images into high-resolution (HR) ones. To address this need, we introduce SEN2NAIP, a large remote sensing dataset designed to support conventional and reference-based SR model training. SEN2NAIP is structured into two components to provide a broad spectrum of research and application needs. The first component comprises a cross-sensor dataset of 2,851 pairs of LR images from Sentinel-2 L2A and HR images from the National Agriculture Imagery Program (NAIP). Leveraging this dataset, we developed a degradation model capable of converting NAIP images to match the characteristics of Sentinel-2 imagery (S2like). Subsequently, this degradation model was utilized to create the second component, a synthetic dataset comprising 17,657 NAIP and S2like image pairs. With the SEN2NAIP dataset, we aim to provide a valuable resource that facilitates the exploration of new techniques for enhancing the spatial resolution of Sentinel-2 satellite imagery.

This dataset of tree points in urban areas of Los Angeles County was created using imagery from 2022 by a team of researchers at the Urban Forest Ecosystems Institute at Cal Poly (UFEI). This map is based on NAIP imagery from 2022, processed by a convolutional neural network (CNN) which learned to detect trees from a collection of hand-annotated samples. The CNN takes NAIP imagery as input and outputs a confidence map indicating the locations of trees. The individual tree locations are found by local peak finding.Find more information about how these points were populated here: https://www.sciencedirect.com/science/article/pii/S1569843224002024Find more information about UFEI here: https://ufei.calpoly.edu/This project was funded by CAL FIRE (award number: 8GB18415) the US Forest Service (award number: 21-CS-11052021-201)J. Ventura, C. Pawlak, M. Honsberger, C. Gonsalves, J. Rice, N.L.R. Love, S. Han, V. Nguyen, K. Sugano, J. Doremus, G.A. Fricker, J. Yost, and M. Ritter. "Individual Tree Detection in Large-Scale Urban Environments using High-Resolution Multispectral Imagery." International Journal of Applied Earth Observation and Geoinformation 2024.