The National Agriculture Imagery Program (NAIP) acquires aerial imagery during the agricultural growing seasons in the continental 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 Service Agency (FSA) through the Aerial Photography Field Office in Salt Lake City. 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.

'The National Agriculture Imagery Program (NAIP) acquires aerial imagery during the agricultural growing seasons in the continental 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.'

This is a MD iMAP hosted service. Find more information on http://imap.maryland.gov. This map service contains the index grids for the historic NAIP imagery. The NAIP program is administered by the U.S. Department of Agriculture Farm Service Agency and has been established to support two main FSA strategic goals centered on agricultural production.Historic NAIP Imagery Links: http://imagery.geodata.md.gov/imap/rest/services/ NAIP/NAIPImagery2005/MapServerhttp://imagery.geodata.md.gov/imap/rest/services/NAIP/NAIPImagery2007/MapServerhttp://imagery.geodata.md.gov/imap/rest/services/NAIP/NAIPImagery2009/MapServerhttp://imagery.geodata.md.gov/imap/rest/services/NAIP/NAIPImagery2011/MapServer Map Service Link: http://imagery.geodata.md.gov/imap/rest/services/NAIP/HistoricNAIPImageryGrid/MapServer ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

This is a MD iMAP hosted service. Find more information on http://imap.maryland.gov. This map service contains the index grids for the historic NAIP imagery. The NAIP program is administered by the U.S. Department of Agriculture Farm Service Agency and has been established to support two main FSA strategic goals centered on agricultural production.Historic NAIP Imagery Links: http://imagery.geodata.md.gov/imap/rest/services/ NAIP/NAIPImagery2005/MapServerhttp://imagery.geodata.md.gov/imap/rest/services/NAIP/NAIPImagery2007/MapServerhttp://imagery.geodata.md.gov/imap/rest/services/NAIP/NAIPImagery2009/MapServerhttp://imagery.geodata.md.gov/imap/rest/services/NAIP/NAIPImagery2011/MapServer Map Service Link: http://imagery.geodata.md.gov/imap/rest/services/NAIP/HistoricNAIPImageryGrid/MapServer ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

The USGS NAIP Imagery service from The National Map (TNM) consists of high resolution images that combine the visual attributes of an aerial photograph with the spatial accuracy and reliability of a map. Resolution of National Agriculture Imagery Program (NAIP) data is 1 meter, which means that every pixel in the digital orthoimage covers a one meter square of the earth’s surface. Many states contribute orthoimagery to The National Map, and USGS relies on a partnership with the U.S. Department of Agriculture’s Farm Service Agency for NAIP data. The USGS NAIP Imagery service is a mosaic of 1 meter resolution natural color and color infrared aerial imagery, containing NAIP and other imagery sources to complete the mosaic. The National Map viewer allows free downloads of public domain, 1-meter resolution compressed orthoimagery in JPEG 2000 (.jp2) format for the conterminous United States, with many urban areas and other locations at 1-foot (or better) resolution, also in JPEG 2000 (.jp2) format. For additional information on orthoimagery, go to https://nationalmap.gov/ortho.html

This data set contains standardized gridded observation data, terrestrial biospheric model output, and inverse model simulations that were compiled but not used in the North American Carbon Program (NACP) Regional Synthesis activities, thus the supplemental designation. The data set provides six (6) observation data packages (9 variables - MODIS LAI, MODIS FPAR, MODIS NDVI, MODIS EVI, FIA forest biomass, forest area, GPP Anomaly, NEE Anomaly, Reco Anomaly; 8 data files), output results from three terrestrial biosphere models (TBM) (14 variables; 214 files), and simulations from one inverse model (IM) (one variable; 1 file). To produce this data set, the NACP Modeling and Synthesis Thematic Data Center (MAST-DC) original data files were resampled to 1-degree spatial resolution for North American region (except for FIA Forest Biomass which was resampled to 0.5-degree resolution), interpolated into monthly or yearly temporal resolution, and reformatted into Climate and Forecast (CF) convention compatible netCDF format.

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. To produce the digital map, we used 1:12,000-scale, true-color aerial photography acquired over several days in June 2004, in addition to the 2005 field plots. Both avenues were used to interpret the vegetation. All 34 map units were developed and directly cross-walked or matched to corresponding plant associations and land-use classes. All of the interpreted and remotely sensed data were converted to Geographic Information System (GIS) databases using ArcGIS© software. Draft maps were printed, reviewed, and revised.

The USDA National Agricultural Statistics Service (NASS) Cropland Data Layer (CDL) is an annual raster, geo-referenced, crop-specific land cover data layer produced using satellite imagery and extensive agricultural ground reference data. The program began in 1997 with limited coverage and in 2008 forward expanded coverage to the entire Continental United States. Please note that no farmer reported data are derivable from the Cropland Data Layer.

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. A geodatabase containing various feature-class layers and tables show the locations of vegetation types and general land cover (vegetation map), vegetation plot samples, AA sites, project boundary extent, and aerial photographic centers. The feature class layer for the BUFF vegetation map provides 11,279 polygons of detailed attribute data covering 37,828.4 ha, with an average polygon size of 3.4 ha.