Earth Satellite Corporation (EarthSat) 19980612 vector digital data Raleigh, North Carolina EarthSat NCCGIA distributes this dataset 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. These data were created to assist governmental agencies and others in making resource management decisions through the use of a geographic information system (GIS). 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. REQUIRED: The year (and optionally month, or month and day) for which the data set corresponds to the ground. 19930516 19960631 Land cover database reflects conditions at imagery dates and field data collection activities through 31 June 1996. Complete As needed -84.435979 -75.403142 36.627828 33.721863 None Land cover Satellite Classification Thematic Mapper Comprehensive Mapping Land use None North Carolina Statewide Neuse Tar/Pamlico None Acknowledgment of products derived from this data set should cite the following: The source of the Land Cover - TM data is the North Carolina Corporate Geographic Database. Earlier versions of these data may exist. The user must be sure to use the appropriate data set for the time period of interest. While efforts have been made to ensure that these data are accurate and reliable within the state of the art, CGIA (and its cooperators and contractor EarthSat) cannot assume liability for any damages or misrepresentation caused by any inaccuracies in the data or as a result of changes to the data caused by system transfer. NC Center for Geographic Information and Analysis Zsolt Nagy Database Administrator Mailing and physical address

301 N. Wilmington St., Suite 700

Raleigh North Carolina 27601-2825 U.S.A. 919-733-2090 919-715-0725 dataq@ncmail.net M-F 8 to 5 Phone or email preferred NCCGIA Director, Karen Siderelis Database Administrator, Zsolt Nagy NC Center for Geographic Information and Analysis 301 N. Wilmington St., Suite 700 Raleigh, North Carolina 27601-2825 EarthSat Vice President of Environmental and GIS Services, Dr. Greg T. Koeln Project Manager, Todd C. Patterson Assistant Project Manager, Todd F. Helt Earth Satellite Corporation (EarthSat) 6011 Executive Boulevard, Suite 400 Rockville, Maryland 20852 Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.1.0.722 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. Filtered Database with Neuse-Tar/Pamlico: 78.25 Filtered Database without Neuse-Tar/Pamlico: 86.68 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. 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. Analysis of inter- and intra-scene co-registration suggested all scenes were accurate to within one pixel (28.5 meters). 10 meters Average root mean square (RMS) error of co-registration of all scenes. N/A Earth Satellite Corporation (EarthSat) 199703 Map Rockville, Maryland EarthSat NCCGIA distributes this data set 8-mm digital tape 19930516 19960631 Land cover database reflect conditions at imagery dates and field data collection activities through 31 June 1996. TM Raw satellite image data - Landsat Thematic Mapper (TM), and ancillary data points, aerial photograph interpretation. EOSAT/Landsat Thematic Mapper (TM) 1996 Map Lanham, Maryland EOSAT NCCGIA distributes this dataset 8-mm digital tape 19930516 19950520 Earliest and latest dates of 22 TM scenes acquired to cover the entire state for both leaf-off and leaf-on conditions. TM Raw satellite image data - Landsat Thematic Mapper (TM) Earth Satellite Corporation (EarthSat) 199607 Map Rockville, Maryland EarthSat NCCGIA distributes this dataset 8-mm digital tape 199602 199606 Field data collection activities for use in assigning information classes to spectral classes of raw imagery. TP, JM, DH Field verification points Pacific Meridian Resources 1995 Map Portland, Oregon Pacific Meridian Resources 8-mm digital tape unknown 1995 Land cover classification of Appalachia. SAA Raw satellite image data University of North Carolina at Greensboro 1995 Map Raleigh, NC NCCGIA NCCGIA distributed this dataset 8-mm digital tape, USGS 7.5' quad map unknown 1995 Field data collection with Department of Geography students based on USGS 7.5' topographic quadrangle maps. UNCG Digital point data Natural Heritage Program 1996 Map Rockville, Maryland EarthSat 8-mm digital tape, 3.5" diskette, hardcopy image map 19930516 199611 Earliest and latest dates of TM scenes acquired based on biologist(s) knowledge of area and imagery. NHP, NHP_NEW, CL Raw satellite image map markings entered into point database, projected points from digitally-provided database. Division of Parks and Recreation 1996 Map Rockville, Maryland EarthSat hardcopy image map 19930516 199611 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. PK Raw satellite image map markings Southeastern Forest Experiment Station unknown Map Asheville, North Carolina Southeastern Forest Experiment Station 8-mm digital tape unknown unknown unknown FIA Ancillary data points from digital dataset U.S. Fish and Wildlife Service 19951204 Map Washington, D.C. U.S. Fish and Wildlife Service U.S. Fish and Wildlife Service distributes this dataset 8-mm digital tape 197102 199212 Varies NWI Ancillary data points from digital dataset Dismal Swamp National Wildlife Refuge 1989 Map Suffolk, Virginia U.S. Fish and Wildlife Service 3.5' diskette 1989 1989 SPOT land cover classification reflecting conditions at the Great Dismal Swamp in 1988-1989. DS Ancillary data points from digital dataset XVIII Airborne Corps and Fort Bragg Directorate of Public Works and Environment, Engineering Systems Division unknown Map Fayetteville, North Carolina XVIII Airborne Corps and Fort Bragg Directorate of Public Works and Environment, Engineering Systems Division 8-mm digital tape, hardcopy maps unknown unknown mid-1990s none Classification confirmation with maps U.S. Geological Survey unknown Map Reston, Virginia U.S. Geological Survey Published map series 24000 Paper unknown unknown Publication dates of quadrangles None Assistance with location during field data collection; identification of areas for ancillary data collection. Department of Transportation unknown remote-sensing image Raleigh, North Carolina Department of Transportation Department of Transportation maintains and distributes these data Aerial photographs 1988 1995 Date(s) of mission(s) DOT Confirmation of classification; collection of ancillary data US Geological Survey 1986 map Reston, Virginia US Geological Survey Published map series 100000 Paper 1984 1986 Publication dates of quadrangles None Quadrangle neatline boundaries were used to clip the landcover vector data 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). All data identified previously 199602 to 199702 "Comprehensive Land Cover Mapping for the State of North Carolina: Final Report," March 1997, Rockville, Maryland: Earth Satellite Corporation. Provides detailed descriptions of field and ancillary data collection activities, classification procedures, and procedures attempted to resolve spectral confusion. Earth Satellite Corporation (EarthSat) Dr. Gregory T. Koeln Environmental and GIS Services Group Mailing and physical address

6011 Executive Boulevard, Suite 400

Rockville Maryland 20852-3801 U.S.A. (301) 231-0660 (301) 231-5020 userid@earthsat.com 8:00 am to 5:30 pm Eastern time Prefer primary contact through NCCGIA 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. 19980216 North Carolina Center for Geographic Information & Analysis David Giordano GIS Analyst Mailing and physical address

Street - 301 N. Wilmington St.

Raleigh North Carolina 27601-2825 U.S.A. (919) 733-2090 (919) 715-0725 dataq@ncmail.net 8:00 am to 5:00 pm Eastern time Phone and electronic mail preferred Metadata imported. C:\DOCUME~1\david\LOCALS~1\Temp\1\xml6A.tmp Dataset copied. Server=cgiatdb; Service=5151; Database=onemap_test; User=sdeadmin; Version=sde.DEFAULT Method: None Vector G-polygon 2808694 State Plane Coordinate System 1983 3200 34.333333 36.166667 -79.000000 33.750000 609601.220000 0.000000 coordinate pair 0.001000 0.001000 meters North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 1.000000 Explicit elevation coordinate included with horizontal coordinates onemap_prod.SDEADMIN.LC96 Statewide land cover classification based on human uses of land, vegetation, water, natural surface, and construction. Earth Satellite Corporation (EarthSat) ID GRIDCODE SHAPE Feature geometry. ESRI Coordinates defining the features. OBJECTID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. SHAPE.area SHAPE.len The dataset depicts land cover found across North Carolina and within 1-kilometer of the state's borders. The polygon attribute table (.pat) contains descriptive data, including AREA (square meters), PERIMETER (linear meters), LC96# (polygon internal identification number), LC96-ID (polygon user identification number), TH_CLASS# (thematic class number), LC_CLASS# (classification number), and DESCRIPTION (landcover description). The attribute table is represented as follows: >LC96.PAT Polygon Attribute Table > >ITEM NAME WIDTH OUTPUT TYPE N.DEC DESCRIPTION >AREA 4 12 F 3 Total area in meters >PERIMETER 4 12 F 3 Total area in meters >COV# 4 5 B - Polygon internal id number >COV-ID 4 5 B - Polygon user id number >TH_CLASS# 2 2 I - Thematic class number >LC_CLASS# 4 4 I - Landcover class number >DESCRIPTION 40 40 C - Landcover description "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. NC Center for Geographic Information and Analysis Production Services Mailing and physical address

301 North Wilmington Street, Suite 700

Raleigh North Carolina 27601-2825 USA (919) 733-2090 (919) 715-0725 dataq@ncmail.net 8:30AM - 5:30PM Phone and electronic mail preferred For current price information use a web browser: COST INFORMATION - http://cgia.cgia.state.nc.us/cost.html Statewide Land Cover - 1996 NCCGIA is charged with the development and maintenance of the State's corporate geographic database and, in cooperation with other mapping organizations, is committed to offering its users accurate, useful, and current information about the state. Although every effort has been made to ensure the accuracy of information, errors and conditions originating from physical sources used to develop the corporate database may be reflected in the data supplied. The client must be aware of data 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 data. The use of trade names or commercial products does not constitute their endorsement by the NCCGIA or North Carolina State Government. FOR DIGITAL OR NON-DIGITAL DATA, Contact NC CGIA, Data Distribution to order data, Phone 919.733.2090 ... Email dataq@ncmail.net ... Web Page order form http://www.cgia.state.nc.us/cgdb/index.html For current FORMAT/MEDIA INFORMATION, use a web browser: http://cgia.cgia.state.nc.us/cost.html or phone NC CGIA Data Distribution 919.733.2090 Data creation and large data analysis jobs contact Database Administration P:(919)733-2090. All data is available through standard ordering procedures on a cost recovery basis. All formats supplied are created using ARC/INFO GIS software on Unix workstations. Other formats are available. Format compatibility is the user's responsibility. For more information on formats and media, use a web browser: FORMAT/MEDIA INFORMATION - http://cgia.cgia.state.nc.us/cost.html 199803 Present 20061002 North Carolina Center for Geographic Information and Analysis REQUIRED: The person responsible for the metadata information. Database Management Mailing and physical address

301 North Wilmington Street, Suite 700

Raleigh North Carolina 27601-2825 USA (919) 733-2090 (919) 715-0725 dataq@ncmail.net 8:30AM - 5:30PM Phone and electronic mail preferred FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time None This metadata file is to accompany the data set identified and received from NCCGIA. NCCGIA does not support secondary distribution. If this data file was received from anyone besides NCCGIA, this metadata file and the data set it describes may contain discrepancies. http://www.esri.com/metadata/esriprof80.html ESRI Metadata Profile