This data set contains imagery from the National Agriculture Imagery Program (NAIP). 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...

This map features recent high-resolution National Agriculture Imagery Program (NAIP) imagery for the United States and is optimized for display quality and performance. The map also includes a reference layer.This NAIP imagery is from the USDA Farm Services Agency. The NAIP imagery in this layer has been visually enhanced and published as a tile layer for optimal display performance.NAIP imagery collection occurs on an annual basis during the agricultural growing season in the continental United States. Approximately half of the US is collected each year and each state is typically collected every other year. The NAIP program aims to make the imagery available to governmental agencies and to the public within a year of collection.This layer will be updated each year, as the latest imagery is received and processed. Currently, it is primarily composed of NAIP imagery from 2018 and 2019.Use the NAIP Imagery Metadata layer as an overlay to access detailed information about each image in this tile layer. With the metadata layer, a user can point and click any location within the continental US to access information such as collection date and resolution for the imagery at that location.While this tile layer is intended for visualization, the Living Atlas also provides the following NAIP layers for image analysis:USA NAIP Imagery: Natural ColorUSA NAIP Imagery: Color InfraredUSA NAIP Imagery: NDVI

This data set contains imagery from the National Agriculture Imagery Program (NAIP). 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 an...

State of Indiana Orthoimagery includes imagery collected in the spring of 2015. The Indiana Orthoimagery Program collects and produces 4-band, 12-inch, 6-inch, and 3-inch orthoimagery. 2015 was a continuation of the 2011-2013 program collection, allowing counties to use the state contract for procurement and the QA/QC performed by the INDOT Aerial Survey group. The dynamic imagery services contain color infrared and NDVI raster functions built into the services. Access to Indiana Geographic Information Office Orthoimagery is governed by Creative Commons 0 (CC0).

In 2011, Indiana initiated its second statewide orthoimagery acquisition, coordinated by the newly established Indiana Geographic Information Office (IGIO). This project was funded using state federal disaster recovery funds along with other state and federal agency contributions. This program introduced a three-year collection cycle, offering 12-inch imagery as the standard product with optional 6-inch buy-ups, which were widely adopted by local governments. The tile grid was updated to 5,000 x 5,000 feet, with a more detailed 2,500 x 2,500-foot grid for the 6-inch buy-ups. Funding for the initiative came primarily from state and federal sources, with additional support from the Indiana Geographic Information Council (IGIC) and local governments. Notably, this project also included Indiana’s first statewide lidar elevation data collection, conducted separately but in the same flying season.Partnerships played a crucial role, with IGIC supporting project outreach and Indiana University continuing its role in making the imagery accessible via Web Map Services and online archives. The program also included a visual quality review by INDOT’s Land and Aerial Surveys group to ensure the imagery’s accuracy and usefulness.

NAIP Imagery, (2016) - Shows imagery of the National Agriculture Imagery Program (NAIP) during the 2016 agricultural growing season in Indiana (from June 2016 through August 2016). The purpose of the program is to provide current information regarding agricultural conditions in support of the United States Department of Agriculture (USDA) farm programs. This imagery has a cell size of 60 cm by 60 cm. Please visit the following Web page of the Indiana Spatial Data Portal (ISDP) for more detailed information and access to downloads: 2012 National Agriculture Imagery Program (UITS downloads will show 2016 NAIP imagery results) For more information, please visit the following URL - USDA NAIP Imagery information page

This hosted feature layer is provided by the USDA FPAC-BC-GEO and shows image acquisition dates for 2022 National Agriculture Imagery Program (NAIP) imagery for Indiana. This date index is state based and contains a polygon for each exposure used in the creation of the imagery. Click on a polygon to find out more information about any area on the image. Attribute information includes the following: IDATE - Image acquisition date SDATE - Polygon start date/time - local 24 hour clock. The start/end time will be for the collection of the individual polygon (will be the same for frame based systems)EDATE - Polygon end date/time - local 24 hour clock. The start/end time will be for the collection of the individual polygon (will be the same for frame based systems)BCON - Color type - possible values are NC (natural color), CIR (color infrared), and M4B (4-band)CAM_TYPE - Camera type (Digital or film)CAM_MAN - Camera ManufacturerCAM_MOD - Camera modelHARD_FIRM - Camera HW and FW version which provides top level information specific to the camera systemSENSNUM - Sensor or lens serial numberAC_TYPE - Aircraft type - ICAO designation (i.e. C441 for a Cessna 441 Conquest II), airborne platforms only blank attribute for space-based systemsACTAILNUM - Aircraft tail number - airborne platforms only a blank attribute for space-based systemsSHAPE_AREA - Polygon area (square meters)RED_RNGE - Red electromagnetic spectrum - spectrum range in nano meters (604-664)GREEN_RNGE - Green electromagnetic spectrum - spectrum range in nano meters (533-587)BLUE_RNGE - Blue electromagnetic spectrum - spectrum range in nano meters (420-492)NIR_RNGE - Near infrared electromagnetic spectrum - spectrum range in nano meters (683-920)

This data set contains imagery from the National Agriculture Imagery Program (NAIP). 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 a...

State of Indiana Current Orthophotography includes imagery collected in the spring of 2023 for the eastern 1/3 of the state. The Indiana Orthoimagery Program collects and produces 4-band, 6-inch orthoimagery (with some areas at 3-inch resolution) on a 3-year cycle. Approximately one-third of the state is flown to develop streaming imagery services, 2,500' by 2,500' tiles. The dynamic imagery services contain color infrared and NDVI raster functions built into the services. Access to Indiana Geographic Information Office Orthoimagery is governed by Creative Commons 0 (CC0).

'TASK NAME: 2013 Indiana Statewide Imagery and LiDAR Program The Indiana Statewide Imagery and LiDAR project includes data captured at the following specifications: New 1 = 200 scale 4-band orthoimagery (TIF and ECW formats) at a 1-foot pixel resolution for all Indiana counties New 1 = 100 scale 4-band orthoimagery (TIF and ECW formats) at a 0.5-foot pixel resolution for the following Indiana counties: 2011: Marion, St. Joseph, Elkhart, Kosciusko, Bartholomew, and Harrison 2012: Hamilton, Noble, Dearborn, Madison, Whitley, Shelby, Steuben, Allen, De Kalb and Floyd. 2013: Dubois, Lake, LaPorte , Marion, Porter and Spencer Counties New Statewide LiDAR data at a 1.5-meter average post spacing for all Indiana counties, except: Steuben, Noble, De Kalb, Allen, Madison, Delaware, Hendricks, Marion, Hancock, Morgan, Johnson, Shelby, Monroe, and portions of Vermillion, Parke, Vigo, Clay, Sullivan, Knox, Gibson, and Posey. Optional 1.0-meter Average Post Spacing: 2011-Boone County, 2012-Dearborn and Floyd, 2013 - Lake, LaPorte, Porter, Tippecanoe, Jasper and Newton. The project is divided into three geographic areas: Area 1 2011 - Indiana central counties: St. Joseph, Elkhart, Starke, Marshall, Kosciusko, Pulaski, Fulton, Cass, Miami, Wabash, Carroll, Howard, Clinton, Tipton, Boone, Hendricks, Marion, Morgan, Johnson, Monroe, Brown, Bartholomew, Lawrence, Jackson, Orange, Washington, Crawford, and Harrison. Area 2 2012 - Indiana eastern counties: LaGrange, Steuben, Noble, DeKalb, Whitley, Allen, Huntington, Wells, Adams, Grant, Blackford, Jay, Hamilton, Madison, Delaware, Randolph, Hancock, Henry, Wayne, Shelby, Rush, Fayette, Union, Decatur, Franklin, Jennings, Ripley, Dearborn, Ohio, Scott, Jefferson, Switzerland, Clark, and Floyd. Area 3 2013 - Indiana western counties: Lake, Porter, LaPorte, Newton, Jasper, Benton, White, Warren, Tippecanoe, Fountain, Montgomery, Vermillion, Parke, Putnam, Vigo, Clay, Owen, Sullivan, Greene, Knox, Daviess, Martin, Gibson, Pike, Dubois, Posey, Vanderburgh, Warrick, Spencer, Perry, plus imagery for Marion County was flown as an out-of-cycle buy-up. Area 1 data was acquired in 2011. Area 2 data was acquired in 2012. Area 3 was acquired in 2013. Projection Reference: EPSG2965: NAD83 Indiana East (ftUS) and EPSG2966: NAD83 Indiana West (ftUS). Note: The ground control survey performed to support the Orthophotography and LiDAR data used the NAD 1983 NSRS2007 (ftUS) projection. To facilitate usability by multiple software versions the Orthophotography and LiDAR is only referenced to NAD 83, and the file projection/header information was written to the files using ERDAS IMAGINE.'An orthoimage is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map. There is no image overlap between adjacent files. Data received at Earth Resources Observation and Science Center (EROS) were reprojected from: Projection: NAD_1983_StatePlane_Indiana_West_FIPS_1302_Feet Resolution: 1 foot Type: 4 Band to: Standard Product Projection: NAD_1983_UTM_Zone_16N Standard Product Resolution: 0.3000 m Rows: 5000 Columns: 5000 and resampled to align to the U.S. National Grid (USNG) using The National Map. The naming convention is based on the U.S. National Grid (USNG), taking the coordinates of the SW corner of the orthoimage. The metadata were imported and updated for display through The National Map at http://nationalmap.gov/viewer.html Chip-level metadata are provided in HTML and XML format. Data were compressed utilizing IAS software. The compression was JPEG2000 Lossy Compressed. The file format created was .jp2.

Indiana's Statewide LiDAR data is produced at 1.5-meter average post spacing for all 92 Indiana Counties covering more than 36,420 square miles. New LiDAR data was captured except where previously captured LiDAR data exists, or the participating County bought-up to a higher resolution of 1.0-meter average post spacing LiDAR data. Existing LiDAR data exists for: Porter, Steuben, Noble, De Kalb, Allen, Madison, Delaware, Hendricks, Marion, Hancock, Morgan, Johnson, Shelby, Monroe, and portions of Vermillion, Parke, Vigo, Clay, Sullivan, Knox, Gibson, and Posey. These existing LiDAR datasets were seamlessly integrated into this new statewide dataset. From this seamless LiDAR product a statewide 5-foot post spacing hydro-flattened DEM product was created and is also available. See the FGDC Metadata provided for more details. This statewide project is divided into three geographic areas captured over a 3-year period (2011-2013). Area 1: St. Joseph, Elkhart Area 2 (2012): LaGrange, Area 3 (2013): Lake, Porter, LaPorte

Indiana NAPP Imagery Dates.The National Aerial Photography Program (NAPP) was coordinated by the USGS as an interagency project to acquire cloud-free aerial photographs at an altitude of 20,000 feet above mean terrain elevation. The photographs were taken with a 6-inch focal length lens at a scale of 1:40,000. Coverage over the conterminous United States includes both black-and-white (BW) and color infrared (CIR) aerial photographs. Film type and extent of coverage were determined by available funds and operational requirements. The NAPP program, which was operational from 1987 to 2007, consists of more than 1.3 million images. Photographs were acquired on 9-inch film and were centered over quarters of USGS 7.5-minute quadrangles.To view historical imagery availability by county please visit the Historical Availability of Imagery map.To view more NAPP imagery visit the NAPP Historical Imagery Portfolio app.For ordering information please contact the GEO Customer Service Section at geo.sales@usda.gov.

PROJECT NAME: Indiana 2021-2024 Orthophotography Program TASK NAME: DNR, IN 2024 project includes data captured at the following specifications: New 1"= 50' scale ortho mosaics at a 0.25-foot pixel resolution. Products: Tiled GeoTIFF: 4-band, 8-bit, uncompressed Tiled ECW: 4-band, 8-bit, 20:1 compression ratio Tiled MrSID: 4-band, 8-bit, Gen4, 20:1 compression ratio Countywide MrSID: 3-band, 8-bit, Gen4, 20:1 compression ratio Projection: EPSG2968: NAD83(HARN) Indiana West (ftUS) This metadata record references the 4 Band, 8-bit GeoTIFF data that was provided to the NOAA Office for Coastal Management (OCM) by the Indiana Dept. of Natural Resources, to make the data available for bulk and custom downloads from the NOAA Digital Coast Data Access Viewer.

The following is excerpted from the metadata provided by NASS (USDA) for the source data set CDL_2012_CLIP_20131230093625_434373848.tif: "The USDA, NASS Cropland Data Layer (CDL) is a raster, geo-referenced, crop-specific land cover data layer. The 2012 CDL has a ground resolution of 30 meters. The CDL is produced using satellite imagery from the Landsat 5 TM sensor, Landsat 7 ETM+ sensor, and the Disaster Monitoring Constellation (DMC) DEIMOS-1 and UK2 sensors collected during the current growing season. "Some CDL states used additional satellite imagery and ancillary inputs to supplement and improve the classification. These additional sources can include the United States Geological Survey (USGS) National Elevation Dataset (NED), the USGS National Land Cover Database 2006 (NLCD 2006), and the National Aeronautics and Space Administration (NASA) Moderate Resolution Imaging Spectroradiometer (MODIS) 250 meter 16 day Normalized Difference Vegetation Index (NDVI) composites. "Agricultural training and validation data are derived from the Farm Service Agency (FSA) Common Land Unit (CLU) Program. The NLCD 2006 is used as non-agricultural training and validation data. Please refer to the 'Supplemental_Information' Section of this metadata file for a complete list of all imagery, ancillary data, and training/validation data used to generate this state's CDL. The strength and emphasis of the CDL is agricultural land cover. Please note that no farmer reported data are derivable from the Cropland Data Layer."

The counties comprised in this dataset have been chosen based on the relation to the Maumee River basin, a portion of the Lake Erie basin and correlated with the northwestern counties in Ohio which form composite continuous lidar data for the Lake Erie basin and the Great Lakes basin system. The Indiana Statewide Imagery and LiDAR project includes data captured at the following specifications: This project is comprised of Wells and Adams counties collected in 2012, as part of Area 2; Noble, DeKalb and Steuben counties collected in 2010; Allen county collected in 2009.

These data provide an accurate high-resolution shoreline compiled from imagery of Ports of Buffington, Gary and Indiana Harbor, IN . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://inport.nmfs.noaa.gov/inport/item/39808

Wild rice (Zizania palustris and Zizania aquatica), also known as manoomin, plays an integral role in the wetland ecosystems of the Great Lakes and is central to the culture, identity, and livelihood of Indigenous Peoples throughout the region. As manoomin faces increasing threats from climate change, land use change, pollution, invasive species, and other stressors, efforts are underway to protect and restore wild rice populations and habitat. To support these efforts and help improve mapping and monitoring of wild rice in the Lake Michigan and Lake Huron basins, NOAA's Office for Coastal Management, in collaboration with tribal partners, identified twelve areas of interest (AOI) as pilot sites for airborne hyperspectral imagery and field data collection, which took place in August and September 2021. In total, airborne hyperspectral imagery (with derived natural color and color infrared) was acquired for 43,493 acres. This imagery, in conjunction with field data and place-based knowledge and expertise of tribal partners, was used to help delineate ~13,775 acres of vegetated wetlands, including ~790 acres of wild rice. AOI/Pilot Sites Christiana Creek, MI Fletcher Pond, MI Flowerfield Creek, MI French Farm Lake, MI* Hamlin Lake, MI Indiana Dunes, IN Manistee River, MI Miller Woods, IN Nottawa Creek, MI Potagannissing, MI Rocky Creek, MI Tawas Lake, MI *To request imagery and associated vector and field data for this site, please contact: Jon Mauchmar Wildlife Technician Little Traverse Bay Bands of Odawa Indians Natural Resources Department - Inland Fish & Wildlife Program Office: 231-242-1670 jmauchmar@ltbbodawa-nsn.gov

Wild rice (Zizania palustris and Zizania aquatica), also known as manoomin, plays an integral role in the wetland ecosystems of the Great Lakes and is central to the culture, identity, and livelihood of Indigenous Peoples throughout the region. As manoomin faces increasing threats from climate change, land use change, pollution, invasive species, and other stressors, efforts are underway to protect and restore wild rice populations and habitat. To support these efforts and help improve mapping and monitoring of wild rice in the Lake Michigan and Lake Huron basins, NOAA's Office for Coastal Management, in collaboration with tribal partners, identified twelve areas of interest (AOI) as pilot sites for airborne hyperspectral imagery and field data collection, which took place in August and September 2021. In total, airborne hyperspectral imagery (with derived natural color and color infrared) was acquired for 43,493 acres. This imagery, in conjunction with field data and place-based knowledge and expertise of tribal partners, was used to help delineate ~13,775 acres of vegetated wetlands, including ~790 acres of wild rice. AOI/Pilot Sites 1. Christiana Creek, MI 2. Fletcher Pond, MI 3. Flowerfield Creek, MI 4. French Farm Lake, MI* 5. Hamlin Lake, MI 6. Indiana Dunes, IN 7. Manistee River, MI 8. Miller Woods, IN 9. Nottawa Creek, MI 10. Potagannissing, MI 11. Rocky Creek, MI 12. Tawas Lake, MI *To request imagery and associated vector and field data for this site, please contact: Jon Mauchmar Wildlife Technician Little Traverse Bay Bands of Odawa Indians Natural Resources Department - Inland Fish & Wildlife Program Office: 231-242-1670 jmauchmar@ltbbodawa-nsn.gov

The Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX) has performed a coastal survey along the Lake Michigan coastline in the summer of 2006. The data types collected include bathymetry and topographic lidar point data, and true color imagery. The collection effort follows the coastline and extends 500m inland and 1000m offshore or to laser extinction, whichever comes first. Topographic lidar is collected with 200% coverage, yielding a nominal 1m x 1m post-spacing. Where water conditions permit, the bathymetry lidar data will have a nominal post spacing of 4m x 4m. The true color imagery will have a pixel size approximately 35cm. The final data will be tied to horizontal positions, provided in decimal degrees of latitude and longitude, and are referenced to the North American Datum of 1983 (NAD83). Vertical positions are referenced to the NAD83 ellipsoid and provided in meters. The National Geodetic Survey's (NGS) GEOID03 model is used to transform the vertical positions from ellipsoid to orthometric heights referenced to the North American Vertical Datum of 1988 (NAVD88). Once converted to orthometric heights, the data are then converted to the International Great Lakes Datum of 1985 (IGLD85) using the VDatum program from NOAA (National Oceanic and Atmospheric Administration).

This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe's Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Raster data in both ArcGIS Grid and ERDAS Imagine format is available for download at http://gis1.usgs.gov/csas/gap/viewer/land_cover/Map.aspx Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS. In adition to the raster datasets the data is available in Web Mapping Services (WMS) format for each of the six NVC classification levels (Class, Subclass, Formation, Division, Macrogroup, Ecological System) at the following links. http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Class_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Subclass_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Formation_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Division_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Macrogroup_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_Ecological_Systems_Landuse/MapServer