20251027 15191800 1.0 FGDC CSDGM Metadata FALSE T__NRI_2022_Forest_Canopy 002 1646842.525868 1734867.967219 1076038.237443 1174986.570042 1 Projected GCS_North_American_1983 Linear Unit: Foot_US (0.304801) NAD_1983_StatePlane_Missouri_Central_FIPS_2402_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/3.4.0'><WKT>PROJCS[&quot;NAD_1983_StatePlane_Missouri_Central_FIPS_2402_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;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,1640416.666666667],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-92.5],PARAMETER[&quot;Scale_Factor&quot;,0.9999333333333333],PARAMETER[&quot;Latitude_Of_Origin&quot;,35.83333333333334],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;Esri&quot;,102697]]</WKT><XOrigin>-16806900</XOrigin><YOrigin>-45827300</YOrigin><XYScale>3048.0060960121928</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>102697</WKID><LatestWKID>102697</LatestWKID></ProjectedCoordinateSystem> 20251027 11322000 20251027 11322000 150000000 5000 FGDC Esri ArcGIS 13.4.0.55405 T__NRI_2022_Forest_Canopy external 3a68f3f1cd51b9a0c501c0ee69ced4e Jacob McMains Davey Resource Group ISA Certified Arboritst jacob.mcmains@davey.com (660) 287-5773 True Jacob McMains 0.000000 0.000000 1 -92.477456 -92.167364 39.060406 38.788247 City of Columbia Missouri Boone County Natural resources inventory (NRI) Forests Tree canopy Shrub Coniferous Deciduous <DIV STYLE="text-align:Left;"><DIV><DIV><DIV STYLE="font-size:12pt"><P><SPAN>As determined by the City of Columbia, Missouri</SPAN></P></DIV></DIV></DIV></DIV> external 3a68f3f1cd51b9a0c501c0ee69ced4e Jacob McMains Davey Resource Group ISA Certified Arboritst jacob.mcmains@davey.com (660) 287-5773 True Jacob McMains As determined by the City of Columbia, Missouri external 3a68f3f1cd51b9a0c501c0ee69ced4e Jacob McMains Davey Resource Group ISA Certified Arboritst jacob.mcmains@davey.com (660) 287-5773 True Jacob McMains This Columbia, Missouri, natural resources inventory (NRI) dataset comprises a collection of feature classes representing various land use and land cover types within the Columbia area. Utilizing the most recent 2022 National Agricultural Imagery Program (NAIP) 60cm imagery, land cover features were identified by using an object-based image analysis (OBIA) methodology to process and analyze high-resolution imagery. LiDAR data and ancillary GIS data were also used to assist in classification. This approach allows a more accurate and cost-effective automated feature extraction of land cover classes. Feature classes within the dataset contain attribution on land use/land cover subclassification and elevation. The final GIS dataset serves to support the City of Columbia in informed decision-making in land use planning, natural resource management, and conservation efforts. <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>With the size of the study area measured at approximately 230 square miles, a cost-effective and accurate strategy for assessing current land use/land cover composition is the use of remotely sensed and semi-automated classification methods.</SPAN></P></DIV></DIV></DIV> File Geodatabase Feature Class dataset Esri 8.0.1 0 Simple FALSE 0 TRUE TRUE T__NRI_2022_Forest_Canopy Feature Class 0 Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. CLASSIFICATION CLASSIFICATION String 50 0 0 Classification name SUBCLASS SUBCLASS String 50 0 0 Coniferous and deciduous. Conifers with deciduous overstory retain coniferous classification. TYPE TYPE String 50 0 0 Tree or shrub. Shrubs are defined as woody vegetation between 3 and 15 feet, and tree canopy above 15 feet. Site SITE String 50 0 0 Lowland (less than 200 meters above sea-level) and upland (over 200 meters above sea-level) ACRES ACRES Double 8 0 0 Area expressed in acres DESCRIPTION DESCRIPTION String 50 0 0 Forest height classification. Forests less than 40 feet high are classified as "early succession", between 40 and 60 feet as "mid-succession" and above 60 feet as "mature forest." Contiguous areas of tree/shrub canopy less than 1 acre are classified as "landscape/fragmented." Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Shape_Area Double 8 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. 20251027 Nicholas Antenucci Davey Resource Group, Inc. GIS Analyst 295 South Water Street Kent OH 44340 nicholas.antenucci@davey.com 330.673.5685 ext. 8701 8:00 am - 4:30 pm EST Nicholas Antenucci <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>As determined by the City of Columbia, Missouri</SPAN></P></DIV></DIV></DIV> As determined by the City of Columbia, Missouri These data are believed to be logically consistent, though no formal test were performed. Structural integrity is consistent within the parameters for ESRI ArcGIS 10 Geodatabase format. Using advanced GIS and remote sensing software, Davey's GIS Analyst utlized an automated feature extraction approach to process and identify land cover. ArcGIS 10 and Overwatch's Feature Analyst were used to complete the initial automated feature extraction. Ancillary GIS data, provided by the City, was also utilized to aid in the initial extraction and the quality control process. Feature extraction provides a much more cost effective way of creating land cover layers than manually digitizing images The main QC process was completed at a scale of 1:2000 by GIS Technicians and Specialists in order to ensure that the land cover classification layer was 90% to 95% accurate. During this process, editing was completed using ArcGIS® to identify, clean, and correct any misclassification or topology errors in the final land cover dataset. Once the initial intensive QC process was completed, each of the layers were examined by the GIS Analyst to correct any missed misclassifications and also to add any additional features, if necessary. Multiple QC procedures ensure that Davey will provide the best possible land cover results. Metadata created. Random plot locations were generated and verified to ensure that the data met client standards and assured that automated mapping and data analysis performed by GIS specialists accurately reflected the true nature and extent of the land cover. A total of 1,000 points were generated for the city of Columbia, Missouri. Each point was examined and a confusion matrix was created to calculate overall accuracy, Kappa coefficient, and a user's and producer's accuracy. Davey statistically tests all land cover data to ensure the natural resources inventory yields statistically significant results. Feature acreage is calculated using the ArcGIS field calculator.