20060824 12535000 FALSE 20220520 11033200 20220520 11033200 LC96 122822.503000 931510.003000 9761.250000 319271.250000 1 002 Projected GCS_North_American_1983 Linear Unit: Meter (1.000000) NAD_1983_StatePlane_North_Carolina_FIPS_3200 <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.8.0'><WKT>PROJCS["NAD_1983_StatePlane_North_Carolina_FIPS_3200",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",609601.22],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-79.0],PARAMETER["Standard_Parallel_1",34.33333333333334],PARAMETER["Standard_Parallel_2",36.16666666666666],PARAMETER["Latitude_Of_Origin",33.75],UNIT["Meter",1.0],AUTHORITY["EPSG",32119]]</WKT><XOrigin>-37137500</XOrigin><YOrigin>-28547400</YOrigin><XYScale>8000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.002</XYTolerance><ZTolerance>0.002</ZTolerance><MTolerance>0.002</MTolerance><HighPrecision>true</HighPrecision><WKID>32119</WKID><LatestWKID>32119</LatestWKID></ProjectedCoordinateSystem> 1.0 24000 100000 1503681520358r5542537330076298 David Giordano North Carolina Center for Geographic Information and Analysis Database Administration dataq@its.nc.gov 20322 Mail Service Center Raleigh North Carolina 27699 US 919-754-6580 919-715-8551 8am to 5pm Phone and electronic mail preferred 2011-06-10 11:02:58.35 https://dit-cgia-gis-data.s3.amazonaws.com/NCOM-data/lc96/lc96vector.zip Download as shapefile Download as shapefile https://nconemap.maps.arcgis.com/sharing/rest/content/items/c8795c1ed7c544d0b8a1c68624aa888e/data Final Report Final Report http://data.nconemap.gov/downloads/vector/lc96.zip ESRI shapefile (*.shp) NC Center for Geographic Information and Analysis Database Administration dataq@its.nc.gov 20322 Mail Service Center Raleigh North Carolina 27699 US 919-754-6580 919-715-8551 8:30AM - 5:30PM Phone and electronic mail preferred None. Download from http://www.nconemap.gov is free of charge. Enterprise Geodatabase Feature Class 1996 Landcover 1998-06-12 vector digital data NCCGIA distributes this dataset EarthSat Raleigh, North Carolina NC Dept. of Information Technology, Government Data Analytics Center, Center for Geographic Information and Analysis The North Carolina Center for Geographic Information and Analysis, in cooperation with the NC Department of Transportation and United States Environmental Protection Agency Region IV Wetlands Division, contracted Earth Satellite Corporation (EarthSat) of Rockville, Maryland to generate comprehensive land cover data for the entire state of North Carolina. EarthSat was awarded the base/municipal area deduct contract in response to request for proposal (RFP) number 503768, issued 12 July 1995.<div><br /></div><div><b>NOTE: This is a large dataset and compiling the download using the map may take some time. The data is also available as an Esri shapefile in a ZIP download, ready to go. Click "Download" then "Download as shapefile."</b><br /></div> These data were created to assist governmental agencies and others in making resource management decisions through the use of a geographic information system (GIS). NOTE: This is a large dataset and compiling the download using the map may take some time. The data is also available as an Esri shapefile in a ZIP download, ready to go. Click "Download" then "Download as shapefile." Twenty-two TM scenes were acquired from EOSAT Landsat Thematic Mapper (TM) and used by EarthSat to produce land cover classification. See full documentation for this data layer in report, "Comprehensive Land Cover Mapping for the State of North Carolina: Final Report," March 1997, Rockville, Maryland: Earth Satellite Corporation. Revisions and updates to this layer include: 1.) Revision date: June 12, 1998 - Removal of a pixel-wide sliver of no data between the Laurinburg and Elizabethtown 100k sheets. The error first occurred during the clipping process of the statewide landcover arc/info grid with the two 100k neatline boundaries. The problem was rectified by clipping the adjoining two 100k's as one grid, vectorizing that grid, and then clipping by each 100k neatline. Satellite Comprehensive Classification Thematic Mapper Tar/Pamlico Mapping Statewide Neuse North Carolina Land use Land cover imageryBaseMapsEarthCover NC NC OneMap Department of Information Technology DIT Center for Geographic Information and Analysis CGIA landcover landuse Satellite Comprehensive Classification Thematic Mapper Mapping Land use Land cover imageryBaseMapsEarthCover ISO 19115 Topic Category Tar/Pamlico Statewide Neuse North Carolina -84.435979 -75.403142 33.721863 36.627828 1993-05-16 1996-06-31 Land cover database reflects conditions at imagery dates and field data collection activities through 31 June 1996. David Giordano NC Center for Geographic Information and Analysis Database Administrator dataq@its.nc.gov 333 E. Six Forks Rd. Raleigh North Carolina 27609 US 919-754-6580 919-715-8551 8am to 5pm Phone and electronic mail preferred NCCGIA is charged with the development and maintenance of NC OneMap and, in cooperation with other mapping organizations, is committed to offering its users accurate, useful, and current information. Although every effort has been made to ensure the accuracy of information, errors and conditions originating from physical sources used to develop this dataset may be reflected in the data supplied. The user must be aware of possible conditions and bear responsibility for the appropriate use of the information with respect to possible errors, original map scale, collection methodology, currency of data, and other conditions specific to certain data. NCCGIA does not support secondary distribution of this dataset without its current, compliant metadata record. The use of trade names or commercial products does not constitute their endorsement by NCCGIA or North Carolina State Government. https://www.nconemap.gov/pages/terms Other Constraints Other Constraints Esri ArcGIS 12.9.3.32739 1 -84.435979 -75.403142 36.627830 33.721863 This metadata file is to accompany the dataset. NCCGIA does not support secondary distribution of this dataset without its current, compliant metadata record. If the dataset described in this metadata record was received from anyone besides NCCGIA, this metadata and the dataset it describes may contain discrepancies. NCCGIA received one statewide ERDAS Imagine (.img) file on 8mm tape. The statewide raster data was converted into an ESRI Arc/Info grid format, using the Arc/Info command "imagegrid." The grid file was then clipped by USGS 1:100,000 scale neatlines for every mapsheet in the state using the "gridclip" command in Arc/Info's Grid module. Each gridded quadrangle based file was then vectorized by using the Grid module's "gridpoly" command. The resulting item in the polygon attribute table (.pat), "grid-code", was then used as a join item to add thematic class, landcover class, and description to the .pat. Process begain 19980212. 1998-02-16 David Giordano North Carolina Center for Geographic Information & Analysis GIS Analyst dataq@its.nc.gov 20322 Mail Service Center Raleigh North Carolina 27699 US 919-754-6580 919-715-8551 8am to 5pm Phone and electronic mail preferred Land cover database derived from two co-registered multi spectral Landsat 5 TM pairs, leaf-off and leaf-on, and classified using field and ancillary data. Six bands (1-5 and 7) were stacked to produce a single 12-band raster image (bands 1-6 leaf-off). The Erdas Imagine ISODATA algorithm was applied to the 12-band image to generate 240 spectral class signatures. The Imagine maximum likelihood classifier was then applied using the resulting signatures to assign information (land cover) classes to the spectral classes. Arc/INFO Grid 7.0.4 dendrogram function was used to produce a paper spectral tree showing the euclidian relationship of spectral classes; land cover classes based on field data collection activities and available ancillary data (both of which not reserved for final accuracy appraisal, 40% of each class for each scene) falling at each spectral class were recorded and information class assigned based on majority and/or spectral relationship. Raster editing was interactively performed to correct for spectral confusion and misclassification. A change order was delivered to EarthSat in April 1996 to accelerate classification for the Neuse-Tar/Pamlico watershed. This dataset was incorporated into the final statewide land cover but because of enhancement to processing techniques and correction of some errors a separate, enhanced statewide database was also provided (that did not have the earlier provided Neuse- Tar/Pamlico watershed land cover classification database). Each scene underwent accuracy appraisal before being accepted for use in the final statewide database. Once accepted, scenes were filtered to reach the minimum mapping unit (MMU) of 6 pixels for water and 12 pixels for all other classes. Imagine clump and eliminate routines were used to reduce insignificant data and filter information class assignment. A hierarchy of scenes was determined based on obstructed areas, scene dates, and classification results. Additional raster editing was performed to enhance data quality and interactively correct any remaining inconsistencies or spectrally confused areas. The municipal vector was rasterized and mosaicked with the final scenes and recoded to land cover class 10 (thematic class 24). Dr. Gregory T. Koeln Earth Satellite Corporation (EarthSat) Environmental and GIS Services Group userid@earthsat.com 6011 Executive Boulevard, Suite 400 Rockville Maryland 20852-3801 US (301) 231-0660 (301) 231-5020 8:00 am to 5:30 pm Eastern time Prefer primary contact through NCCGIA Ancillary data points from digital dataset NWI Digital Data, Complete Set 1995-12-04 1971-02-01 1992-12-01 Varies Ancillary data points from digital dataset The Eastwide Forest Inventory Database unknown Raw satellite image data Southern Appalachian Assessment classification 1995-01-01 1995-01-01 Land cover classification of Appalachia. Quadrangle neatline boundaries were used to clip the landcover vector data 100000 USGS 30'x60' series quadrangles 1986-01-01 1984-01-01 1986-01-01 Publication dates of quadrangles Assistance with location during field data collection; identification of areas for ancillary data collection. 24000 USGS 7.5' Topographic Quadrangle Maps Publication dates of quadrangles Raw satellite image data - Landsat Thematic Mapper (TM), and ancillary data points, aerial photograph interpretation. Comprehensive Land Cover Mapping for the State of North Carolina 1997-03-01 1993-05-16 1996-06-31 Land cover database reflect conditions at imagery dates and field data collection activities through 31 June 1996. Raw satellite image map markings entered into point database, projected points from digitally-provided database. Ancillary data collection 1996-01-01 1993-05-16 1996-11-01 Earliest and latest dates of TM scenes acquired based on biologist(s) knowledge of area and imagery. Digital point data Field data collection 1995-01-01 1995-01-01 Field data collection with Department of Geography students based on USGS 7.5' topographic quadrangle maps. Field verification points Comprehensive Land Cover Mapping for the State of North Carolina Field Data Points 1996-07-01 1996-02-01 1996-06-01 Field data collection activities for use in assigning information classes to spectral classes of raw imagery. Raw satellite image data - Landsat Thematic Mapper (TM) Landsat Thematic Mapper (TM) data 1996-01-01 1993-05-16 1995-05-20 Earliest and latest dates of 22 TM scenes acquired to cover the entire state for both leaf-off and leaf-on conditions. Confirmation of classification; collection of ancillary data Aerial photograph interpretation 1988-01-01 1995-01-01 Date(s) of mission(s) Ancillary data points from digital dataset SPOT classification 1989-01-01 1989-01-01 1989-01-01 SPOT land cover classification reflecting conditions at the Great Dismal Swamp in 1988-1989. Raw satellite image map markings Ancillary and field data collection 1996-01-01 1993-05-16 1996-11-01 Earliest and latest dates TM scenes acquired based on park staff knowledge of area, imagery, and location of requested sites on USGS 7.5' topographic quadrangle maps. Classification confirmation with maps Digital and analog forest inventory data mid-1990s Using ESRI's Arc/INFO and ArcView software, and Trimble Navigation's Direct GPS for ArcView and PathFinder 3.0, data points were attributed with land cover class and rasterized for use in the classification procedure. Pseudo-color single- band images (4,5,3 RGB) were created in an unsupervised classification and information classes assigned based on majority of field data points within the spectral class and/or euclidian relationship of the means of each spectral class. These data represent areas within a 1-kilometer buffer of the state's borders, showing human uses of the land, vegetation, water, natural surface, and construction. Raster pixels were assigned information (land cover) classes by undergoing an unsupervised classification in Erdas Imagine 8.2. The resultant single-band image signature file was exported and formatted to use with Arc/INFO Grid's dendrogram function. A summary function in Erdas Imagine 8.2 corresponded land cover class with pixel value at which the land cover data point was located. The land cover class was recorded on the dendrogram until all data points were assigned a spectral class. Information class was assigned to spectral class by majority of points within the spectral class and/or by spectral similarity. Full process description can be found in EarthSat's final report to NCCGIA, "Comprehensive Land Cover Mapping for the State of North Carolina: Final Report," March 1997. After processing each scene was raster edited to alleviate errors and provide for a consistent land cover surface. After an initial accuracy appraisal the scene was filtered to reach the minimum mapping unit (MMU) of 6 pixels for water and 12 pixels for other land cover types. The land cover surface was recoded to collapse the 23-land cover classes into the 9-accuracy classes. A summary matrix was recorded to list the user and producer accuracy for the entire scene, for both filtered and unfiltered databases. Filtered Database with Neuse-Tar/Pamlico: 78.25 Filtered Database without Neuse-Tar/Pamlico: 86.68 Analysis of inter- and intra-scene co-registration suggested all scenes were accurate to within one pixel (28.5 meters). Average root mean square (RMS) error of co-registration of all scenes. 10 N/A 2808694 Method: None 2808694 1996 Landcover Statewide land cover classification based on human uses of land,vegetation, water, natural surface, and construction. Earth Satellite Corporation (EarthSat) Feature Class 2808694 GRIDCODE Feature code used for cover type classification. Join item for dbase file. CGIA values differ id ID Integer 4 10 0 SHAPE Feature geometry. ESRI Coordinates defining the features. OBJECTID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. st_area(shape) st_area(shape) Double 0 0 0 st_perimeter(shape) st_perimeter(shape) Double 0 0 0 The dataset depicts land cover found across North Carolina and within 1-kilometer of the state's borders. "Comprehensive Land Cover Mapping for the State of North Carolina: Final Report," March 1997, Earth Satellite Corporation. "Comprehensive Land Cover Mapping for the State of North Carolina: Detailed Study Design," February 1996, Earth Satellite Corporation. "Land Cover Classification System," November 1996, NCCGIA. (Also available as Appendix A in "Comprehensive Land Cover Mapping for the State of North Carolina: Final Report," March 1997, Earth Satellite Corporation. "A Standard Classification System for the Mapping of Land Use and Land Cover," January 1994, NCCGIA. dataset EPSG 4.2(3.0.1) Simple FALSE 2808694 TRUE FALSE