en U.S. Populated Place Areas represents populated place areas that include census designated places, consolidated cities, and incorporated places within United States identified by the U.S. Census Bureau. U.S. Populated Place Areas provides areal locations for populated places including attributes—name, FIPS code, census class, area, and selected demographic data from the U.S. Census. This data set was reduced to limit Mississippi and surrounding States Largest scale when displaying the data: 1:100,000. 20061001 Incorporated Cities vector digital data 2006 ESRI® Data & Maps 2006 World, Europe, United States, Canada, and Mexico Redlands, California, USA ESRI Location: \usa\census Tele Atlas North America, Inc. ESRI http://www.gis.ms.gov/Portal/dataDownload.do?dxLayer=GIS.IncorporatedPlace_dBprod publication date: 200601; ground condition: 200004 200601 200004 Complete Annually -95.547655 -83.216366 37.297733 29.031361 -15158.904427 1080923.163769 930205.255583 1832166.820546 None polygon places populated places cities city towns villages demographics housing units boundaries society United States None Mississippi MS Miss North America US USA 2006 None 2000 boundaries cadastre planning ISO 19115 Topic Category land surface Access granted to Licensee only. The data are provided by multiple, third party data vendors under license to ESRI for inclusion on ESRI Data & Maps for use with ESRI® software. Each data vendor has its own data licensing policies and may grant varying redistribution rights to end users. Please consult the redistribution rights below for this data set provided on ESRI Data & Maps. As used herein, “Geodata” shall mean any digital data set consisting of geographic data coordinates and associated attributes.The redistribution rights for this data set: Redistribution rights are granted by the data vendor for hard-copy renditions or static, electronic map images (e.g. .gif, .jpeg, etc.) that are plotted, printed, or publicly displayed with proper metadata and source/copyright attribution to the respective data vendor(s). Geodata is redistributable with a Value-Added Software Application developed by ESRI Business Partners on a royalty-free basis with proper metadata and source/copyright attribution to the respective data vendor(s).The terms and conditions below apply to all the data sets provided on ESRI Data & Maps.Proprietary Rights and Copyright: Licensee acknowledges that the Data and Related Materials contain proprietary and confidential property of ESRI and its licensor(s). The Data and Related Materials are owned by ESRI and its licensor(s) and are protected by United States copyright laws and applicable international copyright treaties and/or conventions.Limited Warranty and Disclaimer: ESRI warrants that the media upon which the Data and Related Materials are provided will be free from defects in materials and workmanship under normal use and service for a period of ninety (90) days from the date of receipt.THE DATA AND RELATED MATERIALS ARE EXCLUDED FROM THE LIMITED WARRANTY, AND THE LICENSEE EXPRESSLY ACKNOWLEDGES THAT THE DATA CONTAINS SOME NONCONFORMITIES, DEFECTS, OR ERRORS. ESRI DOES NOT WARRANT THAT THE DATA WILL MEET LICENSEE'S NEEDS OR EXPECTATIONS; THAT THE USE OF THE DATA WILL BE UNINTERRUPTED; OR THAT ALL NONCONFORMITIES, DEFECTS, OR ERRORS CAN OR WILL BE CORRECTED. ESRI IS NOT INVITING RELIANCE ON THIS DATA, AND THE LICENSEE SHOULD ALWAYS VERIFY ACTUAL DATA.EXCEPT FOR THE LIMITED WARRANTY SET FORTH ABOVE, THE DATA AND RELATED MATERIALS CONTAINED THEREIN ARE PROVIDED "AS-IS," WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.HIGH RISK ACTIVITIES: (A) THE DATA AND RELATED MATERIALS ARE NOT FAULT-TOLERANT AND ARE NOT DESIGNED, MANUFACTURED, OR INTENDED FOR USE OR RESALE FOR INSURANCE UNDERWRITING OR WITH CRITICAL HEALTH AND SAFETY OR ONLINE CONTROL EQUIPMENT IN HAZARDOUS ENVIRONMENTS THAT REQUIRE FAIL-SAFE PERFORMANCE, INCLUDING, BUT NOT LIMITED TO THE OPERATION OF NUCLEAR FACILITIES, NAVIGATION OR GUIDANCE (I.E., AIRCRAFT, NAUTICAL VEHICLE, ETC.), OR COMMUNICATION SYSTEMS, AIR TRAFFIC CONTROL, EMERGENCY RESPONSE, TERRORISM PREVENTION OR RESPONSE, LIFE SUPPORT, OR WEAPONS SYSTEMS ("HIGH RISK ACTIVITIES"). ESRI SPECIFICALLY DISCLAIMS ANY EXPRESS OR IMPLIED WARRANTY OF FITNESS FOR HIGH RISK ACTIVITIES.(B) TO THE EXTENT PERMITTED BY LAW, LICENSEE AGREES TO INDEMNIFY, DEFEND, AND HOLD ESRI, ITS OFFICERS, DIRECTORS, EMPLOYEES, AGENTS, SUBCONTRACTORS, LICENSORS, SUCCESSORS, AND ASSIGNS HARMLESS FROM AND AGAINST ANY AND ALL LIABILITY, LOSSES, CLAIMS, EXPENSES (INCLUDING ATTORNEYS' FEES), DEMANDS, OR DAMAGES OF ANY KIND, INCLUDING DIRECT, INDIRECT, SPECIAL, PUNITIVE, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, ARISING OUT OF OR IN ANY WAY CONNECTED WITH LICENSEE'S USE OR PERMITTING THE USE BY OTHERS OF THE DATA, AND VENDOR'S HARDWARE OR SOFTWARE FOR HIGH RISK ACTIVITIES. DELIVERY OF THE DATA, AND VENDOR'S HARDWARE OR SOFTWARE DOES NOT CONSTITUTE A WAIVER OF THE RIGHTS AND OBLIGATIONS SET FORTH IN THIS ARTICLE.Exclusive Remedy and Limitation of Liability: The entire liability of ESRI or its licensor(s) and Licensee's exclusive remedy shall be to terminate the Agreement upon Licensee returning the Data and Related Materials to ESRI with a copy of Licensee's invoice/receipt and ESRI returning the license fees paid to Licensee.IN NO EVENT SHALL ESRI AND/OR ITS LICENSOR(S) BE LIABLE FOR COSTS OF PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOST PROFITS, LOST SALES, OR BUSINESS EXPENDITURES, INVESTMENTS, OR COMMITMENTS IN CONNECTION WITH ANY BUSINESS; LOSS OF ANY GOODWILL; OR FOR ANY INDIRECT, SPECIAL, INCIDENTAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES ARISING OUT OF THIS AGREEMENT OR USE OF THE DATA AND RELATED MATERIALS, HOWEVER CAUSED, ON ANY THEORY OF LIABILITY, AND WHETHER OR NOT ESRI OR ITS LICENSOR(S) HAVE BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. THESE LIMITATIONS SHALL APPLY NOTWITHSTANDING ANY FAILURE OF ESSENTIAL PURPOSE OF ANY EXCLUSIVE REMEDY.Third Party Beneficiary: ESRI's licensor(s) has (have) authorized ESRI to (sub)distribute and (sub)license its (their) data as incorporated into the Data and Related Materials. As an intended third party beneficiary to this Agreement, the ESRI licensor(s) is (are) entitled to directly enforce, in its own name, the rights and obligations undertaken by the Licensee and to seek all legal and equitable remedies as are afforded to ESRI.In the event that the data vendor(s) has (have) granted the end user permission to redistribute the Geodata, please use proper proprietary or copyright attribution for the various data vendor(s), and provide the associated metadata file(s) with the Geodata. In compliance with FGDC metadata standards, ESRI has attempted to practice proper metadata methodologies by providing any data source information, descriptions, and file names to assist in this effort. SDE Feature Class ESRI Data Team mailing and physical address
380 New York Street
Redlands California 92373-8100 USA 909-793-2853 909-793-5953 info@esri.com 7:00 a.m.–5:30 p.m. Pacific time, Monday–Friday In the United States–Please direct all inquiries regarding software/data pricing and consulting services to your local ESRI Regional Office. For support, you may contact Technical Support by telephone (voice) between 6:00 a.m. and 5:00 p.m. Pacific time, Monday through Friday, by dialing 888-377-4575; facsimile (fax) available at 909-792-0960; electronic mail (e-mail) support@esri.com; or visit http://support.esri.com; ESRI holidays excluded. Outside the United States–Please direct all inquiries regarding software/data pricing, sales, support, and consulting services to your local ESRI International Distributor. This information can be found at http://gis.esri.com/intldist/contactint.cfm. For other questions or comments, you may contact ESRI headquarters by e-mail, telephone, or fax or write to us. Unclassified http://www.gis.ms.gov/output/thumbnail/incplace.gif GIF en FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time Data Team ESRI mailing and physical address Redlands California 92373-8100
380 New York Street
USA 909-793-2853 909-793-5953 info@esri.com 7:00 a.m.–5:30 p.m. Pacific time, Monday–Friday 20070822 http://www.esri.com/metadata/esriprof80.html ESRI Metadata Profile Vector Simple FALSE 1 TRUE FALSE GCS_North_American_1983 NAD_1983_Mississippi_TM North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 coordinate pair meters 0.000000 0.000000 Explicit elevation coordinate included with horizontal coordinates 1.000000 OBJECTID OBJECTID OID 4 10 0 Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Feature Class 3174 The polygons represent concentrations of population that include census designated places, consolidated cities, and incorporated places identified by the U.S. Census Bureau. Department of Commerce, Census Bureau CityLimits ObjectID ObjectID OID 4 0 0 Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. ESRI Coordinates defining the features. PREFERRABLE_PERCENT PREFERRABLE_PERCENT SmallInteger 2 0 0 Potential additional tree canopy percentage as a part of the total feature geometry. Esri Positive real numbers that are automatically generated. MAXIMUM_UTC_PERCENT MAXIMUM_UTC_PERCENT Double 8 0 0 Represents the maximum amount of tree canopy possible by adding current tree canopy percentage and the preferrable percentage together. Value is represented as a percentage. Esri Positive real numbers that are automatically generated. Shape_Length Shape_Length String 60 0 0 Length of feature in internal units. Esri Positive real numbers that are automatically generated. Shape_Area Shape_Area Geometry 0 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. PLACE_NAME PLACE_NAME String 60 0 0 City Name SHAPE Shape Geometry 4 0 0 Feature geometry. ESRI Coordinates defining the features. CANOPY_ACRES CANOPY_ACRES Double 8 0 0 Amount of tree canopy acreage in a given feature boundary. CANOPY_PERCENT CANOPY_PERCENT Double 8 0 0 Tree canopy percentage as a part of the total feature geometry. IMPERVIOUS_ACRES IMPERVIOUS_ACRES Double 8 0 0 Amount of impervious surface acreage in a given feature boundary. IMPERVIOUS_PERCENT IMPERVIOUS_PERCENT Double 8 0 0 Impervious surface percentage as a part of the total feature geometry. WATER_ACRES WATER_ACRES Double 8 0 0 Amount of open water acreage in a given feature boundary. WATER_PERCENT WATER_PERCENT Double 8 0 0 Open water percentage as a part of the total feature geometry. PERVIOUS_ACRES PERVIOUS_ACRES Double 8 0 0 Amount of pervious surface acreage in a given feature boundary. PERVIOUS_PERCENT PERVIOUS_PERCENT Double 8 0 0 Pervious surface percentage as a part of the total feature geometry. ASH_CANOPY_ACRES ASH_ACRES Double 8 0 0 Amount of Ash tree canopy acreage in a given feature boundary. ASH_CANOPY_PERCENT ASH_PERCENT Double 8 0 0 Ash Tree canopy percentage as a part of the total feature geometry. PREFERRABLE_ACRES PREFERRABLE_ACRES Double 8 0 0 Potential additional tree canopy acreage in a given feature boundary. Mississippi Information Technology Services Heath Prejean GIS Technical Lead mailing and physical address
301 N Lamar Street, Suite 508
Jackson MS 39201 USA 601-359-1395 601-354-6016 GISHelp@its.state.ms.us None Downloadable Data Dynamap/Census Boundaries v. 7.0 Tele Atlas North America, Inc. 200601 Version 7.0 vector digital data Dynamap®/Census Boundaries Version 7.0 Tele Atlas North America, Inc. Lebanon, New Hampshire, USA http://www.teleatlas.com/ 100000 DVD–ROM 200601 publication date Dynamap/Census Boundaries v. 7.0 Attribute and geospatial data Department of Commerce, Census Bureau Summary File 1 (SF1) 2000 Summary File 1 (SF1) 2000 Department of Commerce, Census Bureau USA The Summary File 1 (SF1) data is based on the 2000 Census of Population. 2001 tabular digital data CD–ROM 200004 ground condition Census SF1 Attribute data Dynamap/Census Boundaries v. 7.0 The following steps were performed by ESRI: Extracted populated place areas from Tele Atlas Dynamap/Census Boundaries v. 7.0. Removed Alaskan islands west of 180 degrees longitude. Created regions from the polygons based on combining the STFIPS and PLACEFIP attributes. Cleaned up some values in the NAME attribute. Attached and formatted the attributes from the 2005 U.S. Populated Place Areas. Calculated new values for attributes POP00_SQMI and SQMI. Converted the data set to SDC. Created ArcGIS® layer file (.lyr), projection file (.prj), and spatial indices. ArcView® GIS 3, ArcGIS® 9, ArcSDE® Census SF1 20060410 Heath Prejean ITS Project Lead Identified Projection and Coverage Area of the data set. All of the vectorinformation is stored in the MSTM projection. So if the data source wasnot received in MSTM it was reporjected to match the MGCP data ModelFeature Class it is associated with.Located Feature Class the data will be loaded to and mapped the existingattributes to the defined MGCP Data model Attributes using DataInteroperability Extension, Python Scripts, Model builder and othergeoprocessing tools.Preformed a data load by created a Data Interoperability tool specific tothis data layer and ran.Verified Attributes were mapped properly, coverage was consistent andfeatures loaded without any errors. ArcGIS 2007 The geospatial part of this data set was extracted from the Census 2000 TIGER/Line® files. The positional accuracy of the TIGER/Line coordinates varies with the source materials used but at best meets the established National Map Accuracy standards (+/- 167 feet approximately) where 1:100,000-scale maps from the USGS are the source. The Census Bureau cannot specify the accuracy of feature updates added by its field staff or of features derived from the GBF/DIME-Files or other map sources. Thus, the level of positional accuracy in the TIGER/Line files is not suitable for high-precision measurement applications such as engineering problems, property transfers, or other uses that might require highly accurate measurements of the earth's surface. The shapefile is converted to SDC (Smart Data Compression) format using either ESRI SDC Data Development Kit Professional 2 (DDKP2) or tools in ArcGIS. The SDC data set is then loaded into ArcSDE® to verify and validate the geometry. After processing, the data set is checked for drawing display and number of records and file sizes compared with source materials. 20070822 Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.2.2.1350 Tupelo_City_Limits 2006 20061001 20060410 20061001 external 230fbf861e5fd882e391448f0f3570 Jim Jenkins The Davey Resource Group Inc. Senior Project Manager 905 Bryce Road Kent OH 44240 US jim.jenkins@davey.com 330.673.5685 ext. 8015 True Jim Jenkins -15158.904427 1080923.163769 1832166.820546 930205.255583 1 200004 200601 -95.547655 -83.216366 37.297733 29.031361 1 <div style='text-align:Left;'><div><div><p><span>With the size of the study area measured at approximately 51.46 square miles, a cost-effective and accurate strategy for assessing the urban forest is the use of remotely sensed and semi-automated classification methods to inventory the current canopy cover and to analyze data for future planting goals.</span></p></div></div></div> <div style='text-align:Left;'><div><div><p style='margin:0 0 11 0;'><span>As determined by the city of Tupelo, Mississippi</span></p></div></div></div> As determined by the city of Tupelo, Mississippi 100000 polygon, places, populated places, cities, towns, villages, demographics, housing units, boundaries, society United States, Puerto Rico 2006, 2000 1 -88.801962 -88.648479 34.325619 34.202631 The purpose of this project was to conduct a top down canopy assessment approach. Utilizing the 2019 hyperspectral imagery and advance remote sensing... City of Tupelo Mississippi Lee County Urban tree canopy (UTC) Tree Canopy Pervious surface Open water Impervious surface Land cover City Boundary external 230fbf861e5fd882e391448f0f3570 Jim Jenkins The Davey Resource Group Inc. Senior Project Manager 905 Bryce Road Kent OH 44240 US jim.jenkins@davey.com 330.673.5685 ext. 8015 True Jim Jenkins ISO 19115 Geographic Information - Metadata DIS_ESRI1.0 dataset File Geodatabase Feature Class external 91eab0a4d63b9601cc33d9ae50dab22 Todd Matthews Urban Forestry Coordinator Mississippi Forestry Commission 660 North St Suite 300 Jackson MS 39202 tmatthews@mfc.ms.gov US 662-361-4272 True Todd Matthews NAD_1983_Mississippi_TM EPSG 2.1(3.0.1) 1 Using advanced GIS and remote sensing software, Davey's GIS Analyst utilized a top-down, automated feature extraction approach to process and identify an initial 3-class land cover layer of canopy, impervious surfaces, and all other landcover. 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. The open water layer was created by combining hydrologic datasets from the city as well as manually panning through the city limits to identify any new water features they may have not been included in the original data. After extraction and editing, the initial 3-class land cover layer included: Tree/shrubs, Impervious surfaces and open water. These features were imported into a custom model to generate the fifth land cover class which included pervious surfaces (grass and meadow areas). 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. The use of secondary sources like the Map2Google tool in ArcGIS® and Microsoft's Birds Eye View was also be used to aid in the quality check process. 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. The final comprehensive land cover dataset was processed in ArcGIS® using geoprocessing, analysis, and data management tools to measure the existing land cover layer. Additional GIS analysis was completed using current data sources for further investigation and in support of the urban canopy assessment process. Area and percentages of land cover classes were calculated for each type and metadata was created. To analyze land cover metrics and deliver all data in an organized fashion. 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. Land cover acreage are calculated using the ArcGIS field calculator and percentage of coverage per land cover class are determined by dividing the current acreage for each class by the total area of the City. 002 20191105 16113900 1.0 FGDC CSDGM Metadata FALSE file://\\kent\drg\gisnetdrives\gisnetdrive2\current\ALMS_Forestry Commission\3_Deliverables\Tupelo_MS\TupeloUrbanTreeCanopyAssessment.gdb Local Area Network CityLimits 002 334216.163400 348124.961800 3786087.245700 3799494.932500 1 AddField TupeloMS_CityLimits UniqID SHORT # # # # NULLABLE NON_REQUIRED # CalculateField myLayer UniqID id() PYTHON_9.3 "counter = 0\ndef id():\n global counter\n counter += 1\n return counter" JoinField TupeloMS_CityLimits UniqID "H:\current\ALMS_Forestry Commission\2_Analysis\LandCoverMetrics\LandCoverMetricsMS.gdb\Tupel" UNIQID # AddField TupeloMS_CityLimits UniqIDS LONG # # # # NULLABLE NON_REQUIRED # CalculateField myLayer UniqIDS id() PYTHON_9.3 "counter = 0\ndef id():\n global counter\n counter += 1\n return counter" JoinField TupeloMS_CityLimits UniqIDS "H:\current\ALMS_Forestry Commission\2_Analysis\LandCoverMetrics\LandCoverMetricsMS.gdb\Tupe" UNIQIDS # CalculateField TupeloMS_CityLimits PREFERRABLE_PERCENT !PREFERRABLE_ACRES!/!ACRES!*100 PYTHON_9.3 # CalculateField TupeloMS_CityLimits MAXIMUM_UTC_PERCENT !PREFERRABLE_PERCENT!+!CANOPY_PERCENT! PYTHON_9.3 # CalculateField TupeloMS_CityLimits IMPERVIOUS_ACRES 6658.865392 VB # CalculateField TupeloMS_CityLimits IMPERVIOUS_PERCENT 20.216524 VB # CalculateField TupeloMS_CityLimits WATER_ACRES 789.390787 VB # CalculateField TupeloMS_CityLimits WATER_PERCENT 2.396615 VB # CalculateField TupeloMS_CityLimits ASH_CANOPY_ACRES 2172.796425 VB # CalculateField TupeloMS_CityLimits ASH_CANOPY_PERCENT "[ASH_CANOPY_ACRES] /11187.299289 *100" VB # Projected GCS_WGS_1984 Linear Unit: Meter (1.000000) WGS_1984_UTM_Zone_16N <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/10.5'><WKT>PROJCS[&quot;WGS_1984_UTM_Zone_16N&quot;,GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,500000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-87.0],PARAMETER[&quot;Scale_Factor&quot;,0.9996],PARAMETER[&quot;Latitude_Of_Origin&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,32616]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>32616</WKID><LatestWKID>32616</LatestWKID></ProjectedCoordinateSystem> 20191111 15180900 20191111 15182700 150000000 5000 FGDC external c8ab094b95e68cec1f82d009918be1b0 Shelby Huth Davey Resource Group GIS Technician 295 S. Water Street Suite 300 Kent OH 44240 shelby.huth@davey.com US 330-673-5685 ext. 8877 True Shelby Huth <DIV STYLE="text-align:Left;"><P STYLE="margin:0 0 11 0;"><SPAN>As determined by the city of Tupelo, Mississippi</SPAN></P></DIV> As determined by the city of Tupelo, Mississippi 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