20180330 13490500 1.0 FALSE statewideTreeCover_1bit 387673.415741 3085719.200741 18312.259061 1071869.863227 1 002 Projected GCS_North_American_1983 Linear Unit: Foot_US (0.304801) NAD_1983_StatePlane_North_Carolina_FIPS_3200_Feet <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/10.4'><WKT>PROJCS[&quot;NAD_1983_StatePlane_North_Carolina_FIPS_3200_Feet&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Lambert_Conformal_Conic&quot;],PARAMETER[&quot;False_Easting&quot;,2000000.002616666],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-79.0],PARAMETER[&quot;Standard_Parallel_1&quot;,34.33333333333334],PARAMETER[&quot;Standard_Parallel_2&quot;,36.16666666666666],PARAMETER[&quot;Latitude_Of_Origin&quot;,33.75],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;EPSG&quot;,2264]]</WKT><XOrigin>-121841900</XOrigin><YOrigin>-93659000</YOrigin><XYScale>36365718.124241434</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102719</WKID><LatestWKID>2264</LatestWKID></ProjectedCoordinateSystem> 20191101 12435200 20191101 12435200 VAT_statewideTreeCover_1bit Table 2 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Value Value Integer 4 0 0 Count Count Double 8 0 0 file_name dataset Daniel Madding NCDA&CS ISS Director 919-807-4344 1035 Mail Service Center Raleigh North Carolina 27699 US daniel.madding@ncagr.gov 8:00 AM - 5:00 PM M - F 20191101 ArcGIS Metadata 1.0 File Geodatabase Raster Dataset Tiff 0.002 statewideTreeCover_1bit NAIP derived Tree Canopy for North Carolina 2016-06-01T00:00:00 2017-07-01T00:00:00 Daniel Madding NCDA&CS ISS Director 919-807-4344 1035 Mail Service Center Raleigh North Carolina 27699 US daniel.madding@ncagr.gov 8:00 AM - 5:00 PM M - F Email first. A decision rule supervised classification process was specifically designed around the tonal differences inherent in NAIP imagery. It used with spectral and textural information derived for each NAIP Tile. To Quality Control the data should be displayed over the 2016 NAIP imagery. There is a map service for that imagery. Tree Canopy for North Carolina derived from NAIP imagery This dataset was created by the North Carolina Department of Agriculture and Consumer Services. Tree land cover data was derived from the North Carolina 2016 NAIP image tiles for the entire state. The data is currently in a raster format in an ESRI file geodatabase. To show land in North Carolina that has trees or forest land cover during the Summer 2016. North Carolina Department of Agriculture & Consumer Services (NCDA&CS) and Frank Obusek (contractor) Daniel Madding NCDA&CS ISS Director 919-807-4300 1035 Mail Service Center Raleigh North Carolina 27699 US daniel.madding@ncagr.gov 8:00 AM - 5:00 PM M - F Email first. Supervised classification/ remote sensing. North Carolina Tree Canopy, Forest Land Cover. Supervised classification/ remote sensing. Tree Canopy Forest Land Cover. North Carolina For large area applications, such as tree canopy per square mile analysis for a watershed or county, the data is pretty good as it stands. For more local tree land cover efforts, such as Urban Tree Canopy assessments, it is recommended that the data be evaluated for the application and, if necessary, further edited either manually or using other geospatial post-processing tools. The scope of the project in terms of time and cost did not allow for significant manual editing for local applications on a municipal level or city. This data is not a survey or sruvey quality and should not be used as a legal document. Field verification of all data is required for site-specific projects. The use of this GIS data should be consistent with NCGS 106.24.1. Version 6.2 (Build 9200) ; Esri ArcGIS 10.4.1.5686 true -79.8678 -79.8546 36.1331 36.1441 true -84.044934 -76.217463 33.941649 36.436171 true -84.260277 -75.824518 33.922077 36.571709 true -80.816814 -80.245492 35.120754 35.567399 A decision rule supervised classification process was specifically designed around the tonal differences inherent in NAIP imagery. It used with spectral and textural information derived for each NAIP Tile. A total of 3,564 tiles and 16TBs of data were processed in a 10-week timeframe. The classification resulted in a 2-class classification schema. Class 1 is Canopy and Class 2 Non-Canopy. Class 2 is set to transparent by default. Texture processing was applied to reduce mixed pixel values between tree canopy, healthy grass and agriculture land areas. These features have similar vegetation spectral response and would otherwise result in a significant number of mis-classified pixels. In many areas however, agriculture and grass land areas containing higher texture values still resulted in mixed canopy pixels. The approached is still an improved process compared to only using spectral information in the NAIP imagery. To meet the short 2-month timeframe of the project, automated and semi-automated processing methods were used in a series of batch processing models. The process derived indices and ratio layers that were then used in the decision rule process. Thematic raster post processing was then used to clean-up the data. The result is a 2-bit thematic raster TIF file for each NAIP tile with the extension "_canopy.tif". Manual editing or clean-up was not used at any time during the project to correct mixed pixels since it was out of the budgetary scope of the project. Sections: The NAIP Tiles were processes in batch processes defined by the date of acquisition documented in the attribute table of the NAIP imagery. The attribute "SrcImgDate" was used to derive 35 working project sections across NAIP tiles. For example, the naming convention used "08-v2a_2016-0526-northcentrl.zip". This zip file contains the TIF tiles of the tree canopy data for Section 8 that includes imagery acquired on or around May 26th, 2016 in the North Central portion of the state of NC. "v2a" represents a versioning (Version 2a) based on small modifications that were made during raster processing which required all the imagery in that specific section to be reprocessed. The “versioning” is not necessarily important unless future modifications in the process. Applications: This section is very important, especially for general users of remote sensing and GIS data. For large area applications, such as tree canopy per square mile analysis for a watershed or county, the data is pretty good as it stands. For more local tree canopy efforts, such as Urban Tree Canopy assessments, it is recommended that the data be evaluated for the application and, if necessary, further edited either manually or using other geospatial post-processing tools. The scope of the project in terms of time and cost did not allow for significant manual editing for local applications on a municipal level or city. For these types of local applications of the tree canopy data the existing thematic raster data can be further modified to meet end-user requirements. If proven useful, the project processes can be repeated for each NAIP Acquisition for North Carolina and/or other states.   1 -84.492495 -75.299363 36.694821 33.682010 This data is not a survey and should not be used as a legal document. Efforts have been made to ensure the accuracy of information in this dataset, but errors may exist. The requester must be aware of data conditions and ultimately bear responsibility for the appropriate use. This data is not a survey and should not be used as a legal document. Field verification of all data is required for site-specific projects. The use of this GIS data should be consistent with NCGS 106.24.1. The three main imperfections of the data include: 1.) agricultural crop field pixels being classified as canopy, 2.) Tonal difference inherent in the NAIP processing resulting in missed canopy pixels, mainly in visible tree canopy areas with “smooth” texture, and 3.) Conifer tree stands being missed in the classification due to lower vegetation values outside of the decision rule threshold that would have otherwise included more non-canopy vegetation pixels being classified as tree canopy. These 3 issues can be resolved by the end-user using manual editing or localized classification approaches to modify the current data product. REQUIRED: Provide a description of how the data were created and indicate source data, used where applicable. This is a repeatable element so can be used to provide a single, compiled description or a series of process step descriptions. 1178 EPSG 6.12(9.0.0) REQUIRED: At a minimum, provide a detailed text description of the features and attributes included within the data including definitions of feature and attribute labels. Preferably, provide a detailed Entity Attribute Description (CSDGM) or Feature Catalog (ISO 19110) record. The Feature Catalog record may be incorporated into the metadata record, made available via a Citation, or indicated as included with the data. Pixel 321125 822366 3.280833 3.280833 1 1 Upper Left FALSE LZ77 1 pixel codes FGDBR TRUE row and column 3.280833 3.280833 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