USDA Forest Service - Automated Lands Program (ALP) JAN-15-2009 Wilderness vector digital data withheld Wilderness A parcel of Forest Service land congressionally designated as wilderness such as National Wilderness Area. This SDE Geodatabase is intended for read-only use. Wilderness is a commonly used base layer used in a wide range of Forest Service business functions as well as those of other entities. en Dec-29-2013 publication date Complete Weekly -139.640670 -65.770810 59.999703 18.248406 -139.640670 -65.770810 18.248406 59.999703 NFS Lands Land Status USDA Forest Service Wilderness Name ALP Land Dataset None. The USDA Forest Service makes no claims, promises, or guarantees about the accuracy, completeness, or adequacy of the content; and expressly disclaims liability for errors and omissions. No warranty of any kind, implied, expressed or statutory, including but not limited to warranties of non-infringement of third party rights, title, merchantability, fitness for a particular purpose and freedom from computer virus, is given with respect to the contents or hyperlinks to other Internet resources. Reference to any specific commercial products, processes, or services, or the use of any trade, firm or corporation name is for the information and convenience of the public, and does not constitute endorsement or recommendation by the USDA Forest Service. USDA Forest Service Automated Lands Program (ALP) ALP Regional Coordinators: Submit a Teamforge artifact at: http://sforge.fs.fed.us/sf/projects/alp_lsrs_editor_2 Other Forest Service users: Submit a CHD ticket to Government Software > NRM> Lands ESRI ArcCatalog 9.3.1.4000 Automated Lands Program (ALP) http://fsweb.r6.fs.fed.us/alp/ Feature Class The Regional Land Status personnel are responsible for their local data stewardship and maintenance. The overall collection nationwide consists of 100% attribute accuracy based on currentness and completeness. This theme is current to date of publication. Accuracy testing must use NSSDA testing guidelines or be reported based on compiled, published test reports appropriate for the data collection method and equipment. The method of determining accuracy should be documented in the process step of the dataset metadata record. If published accuracy results are used, use the statement 'Compiled to meet ___ (meters, feet) horizontal accuracy at 95% confidence interval' in the metadata record, and identify the testing source used. If accuracy is locally tested to NSSDA standards, the statement 'Tested to meet ___ (meters, feet) horizontal accuracy at 95% confidence interval' should be added to the metadata record. Accuracy for legacy data may be reported according to the accuracy standard in place at the time of data collection (typically National Map Accuracy Standards). Document the standard used in the metadata record. (For more information, see: http://www.fgdc.gov/standards/documents/standards/accuracy/chapter3.pdf) Best available source with a target scale of 1:24000 for Continental U.S., Puerto Rico, and Hawaii and 1:63360 for Alaska. computer program publication date This data was migrated from the CDW. The spatial features were projected and imported into the target feature class. This data was published using Feature Manipulation Engine Software. The spatial features were extracted from the transactional database, manipulated to meet the desired output format and published to the target feature class. Metadata imported. withheld 20110121 12380800 Metadata imported. withheld 20110121 18403700 Dataset copied. withheld 20130312 13304300 Metadata imported. withheld 20130927 20542700 Vector Simple FALSE 3 TRUE FALSE North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 GCS_North_American_1983 1.000000 Explicit elevation coordinate included with horizontal coordinates Wilderness Feature Class 3 OBJECTID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. OBJECTID OID 4 10 0 SHAPE Feature geometry. ESRI Coordinates defining the features. Shape Geometry 4 0 0 WildernessID Unique identifier generated by Oracle sequence or SYS_GUID() function. WILDERNESSID String 40 0 0 ALP AREAID AREAID String 6 0 0 BOUNDARYSTATUS BOUNDARYSTATUS String 40 0 0 WildernessName The name of a specific Wilderness Area. WILDERNESSNAME String 80 0 0 ALP WID WID Integer 4 10 0 GIS_ACRES The area of the feature in acres, calculated using a projected surface computation. A NAD 83, USA Contiguous Albers Equal Area Conic projection was used for Regions 1-9, and NAD 83, Alaska Albers for Region 10. ALP GIS_ACRES Double 8 38 8 Shape.STArea() Shape.STArea() Double 0 0 0 Shape.STLength() Shape.STLength() Double 0 0 0 Enterprise Business Solution Sevices Enterprise Data Warehouse (EDW) USFS Chief Information Officer - ( ) - ( ) - ( ) - FS-Data@fs.fed.us All inqueries should be sent by email. Downloadable data. The information depicted in this dataset is the result of digital analyses performed on a database consisting of information from a variety of governmental and other credible sources. The accuracy of the information presented is limited to the collective accuracy of the database on the date of the analysis. The information is believed accurate and reasonable efforts have been made to ensure the accuracy of the data. However, the USDA Forest Service expressly disclaims responsibility for damages or liability that may arise from use of this data. This product is the property of the USDA Forest Service and its use is thereby restricted. 20131212 REQUIRED: The organization responsible for the metadata information. REQUIRED: The person responsible for the metadata information. REQUIRED: The mailing and/or physical address for the organization or individual. REQUIRED: The city of the address. REQUIRED: The state or province of the address. REQUIRED: The ZIP or other postal code of the address. REQUIRED: The telephone number by which individuals can speak to the organization or individual. FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time Unclassified http://www.esri.com/metadata/esriprof80.html ESRI Metadata Profile http://www.esri.com/metadata/esriprof80.html ESRI Metadata Profile en 20180301 15515100 FALSE 20180221 15474600 20180221 15483900 Wilderness 728638.083001 770157.276465 4300390.382664 4375804.827449 1 002 Projected GCS_North_American_1983 Linear Unit: Meter (1.000000) <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/10.6'><WKT>PROJCS[&quot;NAD_1983_UTM_Zone_10N&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;,500000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-123.0],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;,26910]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</YOrigin><XYScale>10000.001646282679</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0010000001639127731</XYTolerance><ZTolerance>2</ZTolerance><MTolerance>2</MTolerance><HighPrecision>true</HighPrecision><WKID>26910</WKID><LatestWKID>26910</LatestWKID></ProjectedCoordinateSystem> NAD_1983_UTM_Zone_10N 1.0 ItemDescription 150000000 5000 ArcGIS Metadata 1.0 Enterprise Business Solution Sevices Enterprise Data Warehouse (EDW) USFS Chief Information Officer ( ) - ( ) - ( ) - - FS-Data@fs.fed.us All inqueries should be sent by email. Downloadable data. withheld Feature Class Feature Class USDA Forest Service - Automated Lands Program (ALP) Wilderness 2016-10-09T06:39:51 <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>A parcel of Forest Service land congressionally designated as wilderness such as National Wilderness Area.</SPAN></P></DIV></DIV></DIV> This SDE Geodatabase is intended for read-only use. Wilderness is a commonly used base layer used in a wide range of Forest Service business functions as well as those of other entities. USDA Forest Service Automated Lands Program (ALP) ALP Regional Coordinators: Submit a Teamforge artifact at: http://sforge.fs.fed.us/sf/projects/alp_lsrs_editor_2 Other Forest Service users: Submit a CHD ticket to Government Software > NRM> Lands Wilderness NFS Lands Land Status USDA Forest Service Wilderness Name ALP Land Dataset Mt Rose Wilderness Desolation Wildersness Granite Chief Wilderness NFS Lands Land Status USDA Forest Service Wilderness Name ALP Land Dataset The information depicted in this dataset is the result of digital analyses performed on a database consisting of information from a variety of governmental and other credible sources. The accuracy of the information presented is limited to the collective accuracy of the database on the date of the analysis. The information is believed accurate and reasonable efforts have been made to ensure the accuracy of the data. However, the USDA Forest Service expressly disclaims responsibility for damages or liability that may arise from use of this data. This product is the property of the USDA Forest Service and its use is thereby restricted. <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The USDA Forest Service makes no claims, promises, or guarantees about the accuracy, completeness, or adequacy of the content; and expressly disclaims liability for errors and omissions. No warranty of any kind, implied, expressed or statutory, including but not limited to warranties of non-infringement of third party rights, title, merchantability, fitness for a particular purpose and freedom from computer virus, is given with respect to the contents or hyperlinks to other Internet resources. Reference to any specific commercial products, processes, or services, or the use of any trade, firm or corporation name is for the information and convenience of the public, and does not constitute endorsement or recommendation by the USDA Forest Service.</SPAN></P></DIV></DIV></DIV> Automated Lands Program (ALP) http://fsweb.r6.fs.fed.us/alp/ publication date -139.64067 -65.77081 59.999703 18.248406 1 Esri ArcGIS 10.6.0.8321 1 -120.366349 -119.858649 39.501479 38.810885 -139.64067 -65.77081 59.999703 18.248406 1 -139.64067 -65.77081 59.999703 18.248406 1 United States Forest Service This theme is current to date of publication. The Regional Land Status personnel are responsible for their local data stewardship and maintenance. The overall collection nationwide consists of 100% attribute accuracy based on currentness and completeness. Accuracy testing must use NSSDA testing guidelines or be reported based on compiled, published test reports appropriate for the data collection method and equipment. The method of determining accuracy should be documented in the process step of the dataset metadata record. If published accuracy results are used, use the statement 'Compiled to meet ___ (meters, feet) horizontal accuracy at 95% confidence interval' in the metadata record, and identify the testing source used. If accuracy is locally tested to NSSDA standards, the statement 'Tested to meet ___ (meters, feet) horizontal accuracy at 95% confidence interval' should be added to the metadata record. Accuracy for legacy data may be reported according to the accuracy standard in place at the time of data collection (typically National Map Accuracy Standards). Document the standard used in the metadata record. (For more information, see: http://www.fgdc.gov/standards/documents/standards/accuracy/chapter3.pdf) This data was published using Feature Manipulation Engine Software. The spatial features were extracted from the transactional database, manipulated to meet the desired output format and published to the target feature class. This data was migrated from the CDW. The spatial features were projected and imported into the target feature class. 0 publication date original metadata PD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0idXRmLTgiPz4NCjxtZXRhZGF0YT4NCiAgPGlk aW5mbz4NCiAgICA8Y2l0YXRpb24+DQogICAgICA8Y2l0ZWluZm8+DQogICAgICAgIDxvcmlnaW4+ VVNEQSBGb3Jlc3QgU2VydmljZSAtIEF1dG9tYXRlZCBMYW5kcyBQcm9ncmFtIChBTFApPC9vcmln aW4+DQogICAgICAgIDxwdWJkYXRlPkpBTi0xNS0yMDA5PC9wdWJkYXRlPg0KICAgICAgPC9jaXRl aW5mbz4NCiAgICA8L2NpdGF0aW9uPg0KICAgIDxkZXNjcmlwdD4NCiAgICAgIDxhYnN0cmFjdD5B IHBhcmNlbCBvZiBGb3Jlc3QgU2VydmljZSBsYW5kIGNvbmdyZXNzaW9uYWxseSBkZXNpZ25hdGVk IGFzIHdpbGRlcm5lc3Mgc3VjaCBhcyBOYXRpb25hbCBXaWxkZXJuZXNzIEFyZWEuPC9hYnN0cmFj dD4NCiAgICAgIDxwdXJwb3NlPg0KVGhpcyBTREUgR2VvZGF0YWJhc2UgaXMgaW50ZW5kZWQgZm9y IHJlYWQtb25seSB1c2UuDQoNCldpbGRlcm5lc3MgaXMgYSBjb21tb25seSB1c2VkIGJhc2UgbGF5 ZXIgdXNlZCBpbiBhIHdpZGUgcmFuZ2Ugb2YgRm9yZXN0IFNlcnZpY2UgYnVzaW5lc3MgZnVuY3Rp b25zIGFzIHdlbGwgYXMgdGhvc2Ugb2Ygb3RoZXIgZW50aXRpZXMuDQo8L3B1cnBvc2U+DQogICAg PC9kZXNjcmlwdD4NCiAgICA8dGltZXBlcmQ+DQogICAgICA8dGltZWluZm8+DQogICAgICAgIDxz bmdkYXRlPg0KICAgICAgICAgIDxjYWxkYXRlPk9jdC0xNy0yMDEzPC9jYWxkYXRlPg0KICAgICAg ICA8L3NuZ2RhdGU+DQogICAgICA8L3RpbWVpbmZvPg0KICAgICAgPGN1cnJlbnQ+cHVibGljYXRp b24gZGF0ZTwvY3VycmVudD4NCiAgICA8L3RpbWVwZXJkPg0KICAgIDxzdGF0dXM+DQogICAgICA8 cHJvZ3Jlc3M+Q29tcGxldGU8L3Byb2dyZXNzPg0KICAgICAgPHVwZGF0ZT5XZWVrbHk8L3VwZGF0 ZT4NCiAgICA8L3N0YXR1cz4NCiAgICA8a2V5d29yZHM+DQogICAgICA8dGhlbWU+DQogICAgICAg IDx0aGVtZWt0PldpbGRlcm5lc3M8L3RoZW1la3Q+DQogICAgICAgIDx0aGVtZWtleT5XaWxkZXJu ZXNzIE5hbWU8L3RoZW1la2V5Pg0KICAgICAgICA8dGhlbWVrZXk+TkZTIExhbmRzPC90aGVtZWtl eT4NCiAgICAgICAgPHRoZW1la2V5PlVTREEgRm9yZXN0IFNlcnZpY2U8L3RoZW1la2V5Pg0KICAg ICAgICA8dGhlbWVrZXk+QUxQIExhbmQgRGF0YXNldDwvdGhlbWVrZXk+DQogICAgICAgIDx0aGVt ZWtleT5MYW5kIFN0YXR1czwvdGhlbWVrZXk+DQogICAgICA8L3RoZW1lPg0KICAgIDwva2V5d29y ZHM+DQogICAgPGFjY2NvbnN0Pk5vbmUuPC9hY2Njb25zdD4NCiAgICA8dXNlY29uc3Q+VGhlIFVT REEgRm9yZXN0IFNlcnZpY2UgbWFrZXMgbm8gY2xhaW1zLCBwcm9taXNlcywgb3IgZ3VhcmFudGVl cyBhYm91dCB0aGUgYWNjdXJhY3ksIGNvbXBsZXRlbmVzcywgb3IgYWRlcXVhY3kgb2YgdGhlIGNv bnRlbnQ7IGFuZCBleHByZXNzbHkgZGlzY2xhaW1zIGxpYWJpbGl0eSBmb3IgZXJyb3JzIGFuZCBv bWlzc2lvbnMuICBObyB3YXJyYW50eSBvZiBhbnkga2luZCwgaW1wbGllZCwgZXhwcmVzc2VkIG9y IHN0YXR1dG9yeSwgaW5jbHVkaW5nIGJ1dCBub3QgbGltaXRlZCB0byB3YXJyYW50aWVzIG9mIG5v bi1pbmZyaW5nZW1lbnQgb2YgdGhpcmQgcGFydHkgcmlnaHRzLCB0aXRsZSwgbWVyY2hhbnRhYmls aXR5LCBmaXRuZXNzIGZvciBhIHBhcnRpY3VsYXIgcHVycG9zZSBhbmQgZnJlZWRvbSBmcm9tIGNv bXB1dGVyIHZpcnVzLCBpcyBnaXZlbiB3aXRoIHJlc3BlY3QgdG8gdGhlIGNvbnRlbnRzIG9yIGh5 cGVybGlua3MgdG8gb3RoZXIgSW50ZXJuZXQgcmVzb3VyY2VzLiAgUmVmZXJlbmNlIHRvIGFueSBz cGVjaWZpYyBjb21tZXJjaWFsIHByb2R1Y3RzLCBwcm9jZXNzZXMsIG9yIHNlcnZpY2VzLCBvciB0 aGUgdXNlIG9mIGFueSB0cmFkZSwgZmlybSBvciBjb3Jwb3JhdGlvbiBuYW1lIGlzIGZvciB0aGUg aW5mb3JtYXRpb24gYW5kIGNvbnZlbmllbmNlIG9mIHRoZSBwdWJsaWMsIGFuZCBkb2VzIG5vdCBj b25zdGl0dXRlIGVuZG9yc2VtZW50IG9yIHJlY29tbWVuZGF0aW9uIGJ5IHRoZSBVU0RBIEZvcmVz dCBTZXJ2aWNlLjwvdXNlY29uc3Q+DQogICAgPHB0Y29udGFjPg0KICAgICAgPGNudGluZm8+DQog ICAgICAgIDxjbnRvcmdwPg0KICAgICAgICAgIDxjbnRvcmc+VVNEQSBGb3Jlc3QgU2VydmljZSBB dXRvbWF0ZWQgTGFuZHMgUHJvZ3JhbSAoQUxQKTwvY250b3JnPg0KICAgICAgICA8L2NudG9yZ3A+ DQogICAgICAgIDxjbnRpbnN0PkFMUCBSZWdpb25hbCBDb29yZGluYXRvcnM6ICANClN1Ym1pdCBh IFRlYW1mb3JnZSBhcnRpZmFjdCBhdDogaHR0cDovL3Nmb3JnZS5mcy5mZWQudXMvc2YvcHJvamVj dHMvYWxwX2xzcnNfZWRpdG9yXzINCg0KT3RoZXIgRm9yZXN0IFNlcnZpY2UgdXNlcnM6DQpTdWJt aXQgYSBDSEQgdGlja2V0IHRvIEdvdmVybm1lbnQgU29mdHdhcmUgJmd0OyBOUk0mZ3Q7IExhbmRz PC9jbnRpbnN0Pg0KICAgICAgPC9jbnRpbmZvPg0KICAgIDwvcHRjb250YWM+DQogICAgPGNyb3Nz cmVmPg0KICAgICAgPGNpdGVpbmZvPg0KICAgICAgICA8dGl0bGU+QXV0b21hdGVkIExhbmRzIFBy b2dyYW0gKEFMUCk8L3RpdGxlPg0KICAgICAgICA8b25saW5rPmh0dHA6Ly9mc3dlYi5yNi5mcy5m ZWQudXMvYWxwLzwvb25saW5rPg0KICAgICAgPC9jaXRlaW5mbz4NCiAgICA8L2Nyb3NzcmVmPg0K ICA8L2lkaW5mbz4NCiAgPGRhdGFxdWFsPg0KICAgIDxhdHRyYWNjPg0KICAgICAgPGF0dHJhY2Ny PlRoZSBSZWdpb25hbCBMYW5kIFN0YXR1cyBwZXJzb25uZWwgYXJlIHJlc3BvbnNpYmxlIGZvciB0 aGVpciBsb2NhbCBkYXRhIHN0ZXdhcmRzaGlwIGFuZCBtYWludGVuYW5jZS4gVGhlIG92ZXJhbGwg Y29sbGVjdGlvbiBuYXRpb253aWRlIGNvbnNpc3RzIG9mIDEwMCUgYXR0cmlidXRlIGFjY3VyYWN5 IGJhc2VkIG9uIGN1cnJlbnRuZXNzIGFuZCBjb21wbGV0ZW5lc3MuPC9hdHRyYWNjcj4NCiAgICA8 L2F0dHJhY2M+DQogICAgPGNvbXBsZXRlPlRoaXMgdGhlbWUgaXMgY3VycmVudCB0byBkYXRlIG9m IHB1YmxpY2F0aW9uLjwvY29tcGxldGU+DQogICAgPHBvc2FjYz4NCiAgICAgIDxob3JpenBhPg0K ICAgICAgICA8aG9yaXpwYXI+QWNjdXJhY3kgdGVzdGluZyBtdXN0IHVzZSBOU1NEQSB0ZXN0aW5n IGd1aWRlbGluZXMgb3IgYmUgcmVwb3J0ZWQgYmFzZWQgb24gY29tcGlsZWQsIHB1Ymxpc2hlZCB0 ZXN0IHJlcG9ydHMgYXBwcm9wcmlhdGUgZm9yIHRoZSBkYXRhIGNvbGxlY3Rpb24gbWV0aG9kIGFu ZCBlcXVpcG1lbnQuIFRoZSBtZXRob2Qgb2YgZGV0ZXJtaW5pbmcgYWNjdXJhY3kgc2hvdWxkIGJl IGRvY3VtZW50ZWQgaW4gdGhlIHByb2Nlc3Mgc3RlcCBvZiB0aGUgZGF0YXNldCBtZXRhZGF0YSBy ZWNvcmQuIElmIHB1Ymxpc2hlZCBhY2N1cmFjeSByZXN1bHRzIGFyZSB1c2VkLCB1c2UgdGhlIHN0 YXRlbWVudCAnQ29tcGlsZWQgdG8gbWVldCBfX18gKG1ldGVycywgZmVldCkgaG9yaXpvbnRhbCBh Y2N1cmFjeSBhdCA5NSUgY29uZmlkZW5jZSBpbnRlcnZhbCcgaW4gdGhlIG1ldGFkYXRhIHJlY29y ZCwgYW5kIGlkZW50aWZ5IHRoZSB0ZXN0aW5nIHNvdXJjZSB1c2VkLiBJZiBhY2N1cmFjeSBpcyBs b2NhbGx5IHRlc3RlZCB0byBOU1NEQSBzdGFuZGFyZHMsIHRoZSBzdGF0ZW1lbnQgJ1Rlc3RlZCB0 byBtZWV0IF9fXyAobWV0ZXJzLCBmZWV0KSBob3Jpem9udGFsIGFjY3VyYWN5IGF0IDk1JSBjb25m aWRlbmNlIGludGVydmFsJyBzaG91bGQgYmUgYWRkZWQgdG8gdGhlIG1ldGFkYXRhIHJlY29yZC4g QWNjdXJhY3kgZm9yIGxlZ2FjeSBkYXRhIG1heSBiZSByZXBvcnRlZCBhY2NvcmRpbmcgdG8gdGhl IGFjY3VyYWN5IHN0YW5kYXJkIGluIHBsYWNlIGF0IHRoZSB0aW1lIG9mIGRhdGEgY29sbGVjdGlv biAodHlwaWNhbGx5IE5hdGlvbmFsIE1hcCBBY2N1cmFjeSBTdGFuZGFyZHMpLiBEb2N1bWVudCB0 aGUgc3RhbmRhcmQgdXNlZCBpbiB0aGUgbWV0YWRhdGEgcmVjb3JkLiAoRm9yIG1vcmUgaW5mb3Jt YXRpb24sIHNlZTogaHR0cDovL3d3dy5mZ2RjLmdvdi9zdGFuZGFyZHMvZG9jdW1lbnRzL3N0YW5k YXJkcy9hY2N1cmFjeS9jaGFwdGVyMy5wZGYpPC9ob3JpenBhcj4NCiAgICAgIDwvaG9yaXpwYT4N CiAgICA8L3Bvc2FjYz4NCiAgICA8bGluZWFnZT4NCiAgICAgIDxzcmNpbmZvPg0KICAgICAgICA8 c3Jjc2NhbGU+QmVzdCBhdmFpbGFibGUgc291cmNlIHdpdGggYSB0YXJnZXQgc2NhbGUgb2YgMToy NDAwMCBmb3IgQ29udGluZW50YWwgVS5TLiwgUHVlcnRvIFJpY28sIGFuZCBIYXdhaWkgYW5kIDE6 NjMzNjAgZm9yIEFsYXNrYS48L3NyY3NjYWxlPg0KICAgICAgICA8dHlwZXNyYz5jb21wdXRlciBw cm9ncmFtPC90eXBlc3JjPg0KICAgICAgICA8c3JjdGltZT4NCiAgICAgICAgICA8c3JjY3Vycj5w dWJsaWNhdGlvbiBkYXRlPC9zcmNjdXJyPg0KICAgICAgICA8L3NyY3RpbWU+DQogICAgICA8L3Ny Y2luZm8+DQogICAgICA8cHJvY3N0ZXA+DQogICAgICAgIDxwcm9jZGVzYz5UaGlzIGRhdGEgd2Fz IG1pZ3JhdGVkIGZyb20gdGhlIENEVy4gIFRoZSBzcGF0aWFsIGZlYXR1cmVzIHdlcmUgcHJvamVj dGVkIGFuZCBpbXBvcnRlZCBpbnRvIHRoZSB0YXJnZXQgZmVhdHVyZSBjbGFzcy48L3Byb2NkZXNj Pg0KICAgICAgPC9wcm9jc3RlcD4NCiAgICAgIDxwcm9jc3RlcD4NCiAgICAgICAgPHByb2NkZXNj PlRoaXMgZGF0YSB3YXMgcHVibGlzaGVkIHVzaW5nIEZlYXR1cmUgTWFuaXB1bGF0aW9uIEVuZ2lu ZSBTb2Z0d2FyZS4gIFRoZSBzcGF0aWFsIGZlYXR1cmVzIHdlcmUgZXh0cmFjdGVkIGZyb20gdGhl IHRyYW5zYWN0aW9uYWwgZGF0YWJhc2UsIG1hbmlwdWxhdGVkIHRvIG1lZXQgdGhlIGRlc2lyZWQg b3V0cHV0IGZvcm1hdCBhbmQgcHVibGlzaGVkIHRvIHRoZSB0YXJnZXQgZmVhdHVyZSBjbGFzcy48 L3Byb2NkZXNjPg0KICAgICAgPC9wcm9jc3RlcD4NCiAgICAgIDxwcm9jc3RlcD4NCiAgICAgICAg PHByb2NkZXNjPk1ldGFkYXRhIGltcG9ydGVkLjwvcHJvY2Rlc2M+DQogICAgICAgIDxzcmN1c2Vk PlQ6XEZTXE5GU1xXT0xhbmRzXEFMUFxQcm9qZWN0XEZNRVxtZXRhZGF0YVxnaXNfZGRcV2lsZGVy bmVzcy54bWw8L3NyY3VzZWQ+DQogICAgICAgIDxwcm9jZGF0ZT4yMDExMDEyMTwvcHJvY2RhdGU+ DQogICAgICAgIDxwcm9jdGltZT4xMjM4MDgwMDwvcHJvY3RpbWU+DQogICAgICA8L3Byb2NzdGVw Pg0KICAgIDwvbGluZWFnZT4NCiAgPC9kYXRhcXVhbD4NCiAgPGVhaW5mbz4NCiAgICA8ZGV0YWls ZWQgTmFtZT0iU19VU0EuV2lsZGVybmVzcyI+DQogICAgICA8ZW50dHlwPg0KICAgICAgICA8ZW50 dHlwbCBTeW5jPSJUUlVFIj5TX1VTQS5XaWxkZXJuZXNzPC9lbnR0eXBsPg0KICAgICAgICA8ZW50 dHlwdCBTeW5jPSJUUlVFIj5GZWF0dXJlIENsYXNzPC9lbnR0eXB0Pg0KICAgICAgICA8ZW50dHlw YyBTeW5jPSJUUlVFIj40NDI8L2VudHR5cGM+DQogICAgICA8L2VudHR5cD4NCiAgICAgIDxhdHRy Pg0KICAgICAgICA8YXR0cmxhYmwgU3luYz0iVFJVRSI+T0JKRUNUSUQ8L2F0dHJsYWJsPg0KICAg ICAgICA8YXR0cmRlZiBTeW5jPSJUUlVFIj5JbnRlcm5hbCBmZWF0dXJlIG51bWJlci48L2F0dHJk ZWY+DQogICAgICAgIDxhdHRyZGVmcyBTeW5jPSJUUlVFIj5FU1JJPC9hdHRyZGVmcz4NCiAgICAg ICAgPGF0dHJkb212Pg0KICAgICAgICAgIDx1ZG9tIFN5bmM9IlRSVUUiPlNlcXVlbnRpYWwgdW5p cXVlIHdob2xlIG51bWJlcnMgdGhhdCBhcmUgYXV0b21hdGljYWxseSBnZW5lcmF0ZWQuPC91ZG9t Pg0KICAgICAgICA8L2F0dHJkb212Pg0KICAgICAgICA8YXR0YWxpYXMgU3luYz0iVFJVRSI+T0JK RUNUSUQ8L2F0dGFsaWFzPg0KICAgICAgICA8YXR0cnR5cGUgU3luYz0iVFJVRSI+T0lEPC9hdHRy dHlwZT4NCiAgICAgICAgPGF0dHdpZHRoIFN5bmM9IlRSVUUiPjQ8L2F0dHdpZHRoPg0KICAgICAg ICA8YXRwcmVjaXMgU3luYz0iVFJVRSI+MTA8L2F0cHJlY2lzPg0KICAgICAgICA8YXR0c2NhbGUg U3luYz0iVFJVRSI+MDwvYXR0c2NhbGU+DQogICAgICA8L2F0dHI+DQogICAgICA8YXR0cj4NCiAg ICAgICAgPGF0dHJsYWJsIFN5bmM9IlRSVUUiPlNIQVBFPC9hdHRybGFibD4NCiAgICAgICAgPGF0 dHJkZWYgU3luYz0iVFJVRSI+RmVhdHVyZSBnZW9tZXRyeS48L2F0dHJkZWY+DQogICAgICAgIDxh dHRyZGVmcyBTeW5jPSJUUlVFIj5FU1JJPC9hdHRyZGVmcz4NCiAgICAgICAgPGF0dHJkb212Pg0K ICAgICAgICAgIDx1ZG9tIFN5bmM9IlRSVUUiPkNvb3JkaW5hdGVzIGRlZmluaW5nIHRoZSBmZWF0 dXJlcy48L3Vkb20+DQogICAgICAgIDwvYXR0cmRvbXY+DQogICAgICAgIDxhdHRhbGlhcyBTeW5j PSJUUlVFIj5TSEFQRTwvYXR0YWxpYXM+DQogICAgICAgIDxhdHRydHlwZSBTeW5jPSJUUlVFIj5H ZW9tZXRyeTwvYXR0cnR5cGU+DQogICAgICAgIDxhdHR3aWR0aCBTeW5jPSJUUlVFIj40PC9hdHR3 aWR0aD4NCiAgICAgICAgPGF0cHJlY2lzIFN5bmM9IlRSVUUiPjA8L2F0cHJlY2lzPg0KICAgICAg ICA8YXR0c2NhbGUgU3luYz0iVFJVRSI+MDwvYXR0c2NhbGU+DQogICAgICA8L2F0dHI+DQogICAg ICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJsIFN5bmM9IlRSVUUiPldpbGRlcm5lc3NJRDwvYXR0 cmxhYmw+DQogICAgICAgIDxhdHRyZGVmPlVuaXF1ZSBpZGVudGlmaWVyIGdlbmVyYXRlZCBieSBP cmFjbGUgc2VxdWVuY2Ugb3IgU1lTX0dVSUQoKSBmdW5jdGlvbi48L2F0dHJkZWY+DQogICAgICAg IDxhdHRhbGlhcyBTeW5jPSJUUlVFIj5XSUxERVJORVNTSUQ8L2F0dGFsaWFzPg0KICAgICAgICA8 YXR0cnR5cGUgU3luYz0iVFJVRSI+U3RyaW5nPC9hdHRydHlwZT4NCiAgICAgICAgPGF0dHdpZHRo IFN5bmM9IlRSVUUiPjQwPC9hdHR3aWR0aD4NCiAgICAgICAgPGF0cHJlY2lzIFN5bmM9IlRSVUUi PjA8L2F0cHJlY2lzPg0KICAgICAgICA8YXR0c2NhbGUgU3luYz0iVFJVRSI+MDwvYXR0c2NhbGU+ DQogICAgICAgIDxhdHRyZGVmcz5BTFA8L2F0dHJkZWZzPg0KICAgICAgPC9hdHRyPg0KICAgICAg PGF0dHI+DQogICAgICAgIDxhdHRybGFibCBTeW5jPSJUUlVFIj5BUkVBSUQ8L2F0dHJsYWJsPg0K ICAgICAgICA8YXR0YWxpYXMgU3luYz0iVFJVRSI+QVJFQUlEPC9hdHRhbGlhcz4NCiAgICAgICAg PGF0dHJ0eXBlIFN5bmM9IlRSVUUiPlN0cmluZzwvYXR0cnR5cGU+DQogICAgICAgIDxhdHR3aWR0 aCBTeW5jPSJUUlVFIj42PC9hdHR3aWR0aD4NCiAgICAgICAgPGF0cHJlY2lzIFN5bmM9IlRSVUUi PjA8L2F0cHJlY2lzPg0KICAgICAgICA8YXR0c2NhbGUgU3luYz0iVFJVRSI+MDwvYXR0c2NhbGU+ DQogICAgICA8L2F0dHI+DQogICAgICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJsIFN5bmM9IlRS VUUiPkJPVU5EQVJZU1RBVFVTPC9hdHRybGFibD4NCiAgICAgICAgPGF0dGFsaWFzIFN5bmM9IlRS VUUiPkJPVU5EQVJZU1RBVFVTPC9hdHRhbGlhcz4NCiAgICAgICAgPGF0dHJ0eXBlIFN5bmM9IlRS VUUiPlN0cmluZzwvYXR0cnR5cGU+DQogICAgICAgIDxhdHR3aWR0aCBTeW5jPSJUUlVFIj40MDwv YXR0d2lkdGg+DQogICAgICAgIDxhdHByZWNpcyBTeW5jPSJUUlVFIj4wPC9hdHByZWNpcz4NCiAg ICAgICAgPGF0dHNjYWxlIFN5bmM9IlRSVUUiPjA8L2F0dHNjYWxlPg0KICAgICAgPC9hdHRyPg0K ICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibCBTeW5jPSJUUlVFIj5XaWxkZXJuZXNzTmFt ZTwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRyZGVmPlRoZSBuYW1lIG9mIGEgc3BlY2lmaWMgV2ls ZGVybmVzcyBBcmVhLjwvYXR0cmRlZj4NCiAgICAgICAgPGF0dGFsaWFzIFN5bmM9IlRSVUUiPldJ TERFUk5FU1NOQU1FPC9hdHRhbGlhcz4NCiAgICAgICAgPGF0dHJ0eXBlIFN5bmM9IlRSVUUiPlN0 cmluZzwvYXR0cnR5cGU+DQogICAgICAgIDxhdHR3aWR0aCBTeW5jPSJUUlVFIj44MDwvYXR0d2lk dGg+DQogICAgICAgIDxhdHByZWNpcyBTeW5jPSJUUlVFIj4wPC9hdHByZWNpcz4NCiAgICAgICAg PGF0dHNjYWxlIFN5bmM9IlRSVUUiPjA8L2F0dHNjYWxlPg0KICAgICAgICA8YXR0cmRlZnM+QUxQ PC9hdHRyZGVmcz4NCiAgICAgIDwvYXR0cj4NCiAgICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxh YmwgU3luYz0iVFJVRSI+U0hBUEUuQVJFQTwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRhbGlhcyBT eW5jPSJUUlVFIj5TSEFQRS5BUkVBPC9hdHRhbGlhcz4NCiAgICAgICAgPGF0dHJ0eXBlIFN5bmM9 IlRSVUUiPkRvdWJsZTwvYXR0cnR5cGU+DQogICAgICAgIDxhdHR3aWR0aCBTeW5jPSJUUlVFIj4w PC9hdHR3aWR0aD4NCiAgICAgICAgPGF0cHJlY2lzIFN5bmM9IlRSVUUiPjA8L2F0cHJlY2lzPg0K ICAgICAgICA8YXR0c2NhbGUgU3luYz0iVFJVRSI+MDwvYXR0c2NhbGU+DQogICAgICAgIDxhdHRy ZGVmPkFyZWEgb2YgZmVhdHVyZSBpbiBpbnRlcm5hbCB1bml0cyBzcXVhcmVkLjwvYXR0cmRlZj4N CiAgICAgICAgPGF0dHJkZWZzPkVTUkk8L2F0dHJkZWZzPg0KICAgICAgPC9hdHRyPg0KICAgICAg PGF0dHI+DQogICAgICAgIDxhdHRybGFibCBTeW5jPSJUUlVFIj5TSEFQRS5MRU48L2F0dHJsYWJs Pg0KICAgICAgICA8YXR0YWxpYXMgU3luYz0iVFJVRSI+U0hBUEUuTEVOPC9hdHRhbGlhcz4NCiAg ICAgICAgPGF0dHJ0eXBlIFN5bmM9IlRSVUUiPkRvdWJsZTwvYXR0cnR5cGU+DQogICAgICAgIDxh dHR3aWR0aCBTeW5jPSJUUlVFIj4wPC9hdHR3aWR0aD4NCiAgICAgICAgPGF0cHJlY2lzIFN5bmM9 IlRSVUUiPjA8L2F0cHJlY2lzPg0KICAgICAgICA8YXR0c2NhbGUgU3luYz0iVFJVRSI+MDwvYXR0 c2NhbGU+DQogICAgICAgIDxhdHRyZGVmPkxlbmd0aCBvZiBmZWF0dXJlIGluIGludGVybmFsIHVu aXRzLjwvYXR0cmRlZj4NCiAgICAgICAgPGF0dHJkZWZzPkVTUkk8L2F0dHJkZWZzPg0KICAgICAg PC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibD5HSVNfQUNSRVM8L2F0dHJs YWJsPg0KICAgICAgICA8YXR0cmRlZj5UaGUgYXJlYSBvZiB0aGUgZmVhdHVyZSBpbiBhY3Jlcywg Y2FsY3VsYXRlZCB1c2luZyBhIHByb2plY3RlZCBzdXJmYWNlIGNvbXB1dGF0aW9uLiBBIE5BRCA4 MywgVVNBIENvbnRpZ3VvdXMgQWxiZXJzIEVxdWFsIEFyZWEgQ29uaWMgcHJvamVjdGlvbiB3YXMg dXNlZCBmb3IgUmVnaW9ucyAxLTksIGFuZCBOQUQgODMsIEFsYXNrYSBBbGJlcnMgZm9yIFJlZ2lv biAxMC48L2F0dHJkZWY+DQogICAgICAgIDxhdHRyZGVmcz5BTFA8L2F0dHJkZWZzPg0KICAgICAg ICA8YXR0YWxpYXMgU3luYz0iVFJVRSI+R0lTX0FDUkVTPC9hdHRhbGlhcz4NCiAgICAgICAgPGF0 dHJ0eXBlIFN5bmM9IlRSVUUiPkRvdWJsZTwvYXR0cnR5cGU+DQogICAgICAgIDxhdHR3aWR0aCBT eW5jPSJUUlVFIj44PC9hdHR3aWR0aD4NCiAgICAgICAgPGF0cHJlY2lzIFN5bmM9IlRSVUUiPjM4 PC9hdHByZWNpcz4NCiAgICAgICAgPGF0dHNjYWxlIFN5bmM9IlRSVUUiPjg8L2F0dHNjYWxlPg0K ICAgICAgPC9hdHRyPg0KICAgIDwvZGV0YWlsZWQ+DQogIDwvZWFpbmZvPg0KICA8ZGlzdGluZm8+ DQogICAgPGRpc3RyaWI+DQogICAgICA8Y250aW5mbz4NCiAgICAgICAgPGNudG9yZ3A+DQogICAg ICAgICAgPGNudHBlcj5FbnRlcnByaXNlIEJ1c2luZXNzIFNvbHV0aW9uIFNldmljZXM8L2NudHBl cj4NCiAgICAgICAgICA8Y250b3JnPkVudGVycHJpc2UgRGF0YSBXYXJlaG91c2UgKEVEVyk8L2Nu dG9yZz4NCiAgICAgICAgPC9jbnRvcmdwPg0KICAgICAgICA8Y250cG9zPlVTRlMgQ2hpZWYgSW5m b3JtYXRpb24gT2ZmaWNlcjwvY250cG9zPg0KICAgICAgICA8Y250YWRkcj4NCiAgICAgICAgICA8 cG9zdGFsPiAgICAgLTwvcG9zdGFsPg0KICAgICAgICA8L2NudGFkZHI+DQogICAgICAgIDxjbnR2 b2ljZT4oICAgKSAgICAtPC9jbnR2b2ljZT4NCiAgICAgICAgPGNudHRkZD4oICAgKSAgICAtPC9j bnR0ZGQ+DQogICAgICAgIDxjbnRmYXg+KCAgICkgICAgLTwvY250ZmF4Pg0KICAgICAgICA8Y250 ZW1haWw+RlMtRGF0YUBmcy5mZWQudXM8L2NudGVtYWlsPg0KICAgICAgICA8Y250aW5zdD5BbGwg aW5xdWVyaWVzIHNob3VsZCBiZSBzZW50IGJ5IGVtYWlsLjwvY250aW5zdD4NCiAgICAgIDwvY250 aW5mbz4NCiAgICA8L2Rpc3RyaWI+DQogICAgPHJlc2Rlc2M+RG93bmxvYWRhYmxlIGRhdGEuPC9y ZXNkZXNjPg0KICAgIDxkaXN0bGlhYj5UaGUgaW5mb3JtYXRpb24gZGVwaWN0ZWQgaW4gdGhpcyBk YXRhc2V0IGlzIHRoZSByZXN1bHQgb2YgZGlnaXRhbCBhbmFseXNlcyBwZXJmb3JtZWQgb24gYSBk YXRhYmFzZSBjb25zaXN0aW5nIG9mIGluZm9ybWF0aW9uIGZyb20gYSB2YXJpZXR5IG9mIGdvdmVy bm1lbnRhbCBhbmQgb3RoZXIgY3JlZGlibGUgc291cmNlcy4gVGhlIGFjY3VyYWN5IG9mIHRoZSBp bmZvcm1hdGlvbiBwcmVzZW50ZWQgaXMgbGltaXRlZCB0byB0aGUgY29sbGVjdGl2ZSBhY2N1cmFj eSBvZiB0aGUgZGF0YWJhc2Ugb24gdGhlIGRhdGUgb2YgdGhlIGFuYWx5c2lzLiBUaGUgaW5mb3Jt YXRpb24gaXMgYmVsaWV2ZWQgYWNjdXJhdGUgYW5kIHJlYXNvbmFibGUgZWZmb3J0cyBoYXZlIGJl ZW4gbWFkZSB0byBlbnN1cmUgdGhlIGFjY3VyYWN5IG9mIHRoZSBkYXRhLiBIb3dldmVyLCB0aGUg VVNEQSBGb3Jlc3QgU2VydmljZSBleHByZXNzbHkgZGlzY2xhaW1zIHJlc3BvbnNpYmlsaXR5IGZv ciBkYW1hZ2VzIG9yIGxpYWJpbGl0eSB0aGF0IG1heSBhcmlzZSBmcm9tIHVzZSBvZiB0aGlzIGRh dGEuIFRoaXMgcHJvZHVjdCBpcyB0aGUgcHJvcGVydHkgb2YgdGhlIFVTREEgRm9yZXN0IFNlcnZp Y2UgYW5kIGl0cyB1c2UgaXMgdGhlcmVieSByZXN0cmljdGVkLjwvZGlzdGxpYWI+DQogIDwvZGlz dGluZm8+DQogIDxtZXRhaW5mbz4NCiAgICA8bWV0c2k+DQogICAgICA8bWV0c2M+VW5jbGFzc2lm aWVkPC9tZXRzYz4NCiAgICA8L21ldHNpPg0KICAgIDxtZXRleHRucz4NCiAgICAgIDxvbmxpbms+ aHR0cDovL3d3dy5lc3JpLmNvbS9tZXRhZGF0YS9lc3JpcHJvZjgwLmh0bWw8L29ubGluaz4NCiAg ICAgIDxtZXRwcm9mPkVTUkkgTWV0YWRhdGEgUHJvZmlsZTwvbWV0cHJvZj4NCiAgICA8L21ldGV4 dG5zPg0KICAgIDxtZXRleHRucz4NCiAgICAgIDxvbmxpbms+aHR0cDovL3d3dy5lc3JpLmNvbS9t ZXRhZGF0YS9lc3JpcHJvZjgwLmh0bWw8L29ubGluaz4NCiAgICAgIDxtZXRwcm9mPkVTUkkgTWV0 YWRhdGEgUHJvZmlsZTwvbWV0cHJvZj4NCiAgICA8L21ldGV4dG5zPg0KICA8L21ldGFpbmZvPg0K ICA8RXNyaT4NCiAgICA8Q3JlYURhdGU+MjAxMzA5Mjc8L0NyZWFEYXRlPg0KICAgIDxDcmVhVGlt ZT4yMDU0MjcwMDwvQ3JlYVRpbWU+DQogICAgPFN5bmNPbmNlPkZBTFNFPC9TeW5jT25jZT4NCiAg ICA8U3luY0RhdGU+MjAxMzEwMTc8L1N5bmNEYXRlPg0KICAgIDxTeW5jVGltZT4xMTQ5NTcwMDwv U3luY1RpbWU+DQogICAgPE1vZERhdGU+MjAxMzEwMTc8L01vZERhdGU+DQogICAgPE1vZFRpbWU+ MTE0OTU3MDA8L01vZFRpbWU+DQogICAgPE1ldGFJRD57OUFGMkU3MzItRUQ4RS00MUMzLUE5NUIt MkI4QTEyMERGM0Y4fTwvTWV0YUlEPg0KICA8L0Vzcmk+DQo8L21ldGFkYXRhPg== /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii gAooooAKKKKACiiigAooooAKKKKACiiqcF60zxjygFckff8AmUjOcjHqMVLklZPqBcoooqgCiiig AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKwpA0bF55CIY3dYY0JVmbn qRgdjj+dalxPJHPHHHGrFlZiWYjoQPT3/SqYieW0a1hhLAhkaRiAm7ByfU8+3WuPES5moR1ZSNKJ SsKKzbmCgFvU+tPo6UV2EhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRUU862 8RdgzeioMlj6AUQ3Ec+QhO5cFlYYIz7H6H8qV1ewEtFFFMCpeeZ5tuUjZ8MchR7evb8ePxxUlrE8 UR8w/MzlsZ+7k9P896noqFTSnz9R3CiiirEFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRR QAUUUUAQXi5tncZ3RguvPcCql5EpiMvIZMEkEg7Qcnp3xnHpmrl0jyWsiJncwx8uM474zx0qhG09 5JOitGqr8hQ/eAPc8devH864sTTlKpFwWpUXoatFNRFjRUUYVRgfSnV2khRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFRTTpDjduLHoqjJNS1XuxxE+OEfLH0GCP61F STjBtbjQxprlnzGkap0w/LD344/D9e1S29x5ysrKElTh0znHoR6g/wCelMqIMYr5HKko67C3HynP H55x+XrXn4fFzlUtPZlOOheooor0yAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKCAQQRkGiigCjFEtsxtwoC5LpgcEE5P6n+VR3okMGEVGUnDq3Ug9l984q9LBHOAJFyR0I OCPoRyKiaxikXY5d0P3lY5Dfn/TFcE8G/ac8XoWpaWLNFAAAwBgCiu8gKKKKACiiigAooooAKKKK ACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA/9k= dataset GCS_North_American_1983 EPSG 7.8.2(3.0.1) 3 20180221