<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20260902</CreaDate>
<CreaTime>17092000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>US National Grid 10m</resTitle>
</idCitation>
<searchKeys>
<keyword>USNG</keyword>
<keyword>Grid</keyword>
<keyword>City of Miami</keyword>
<keyword>10 meters</keyword>
<keyword>National Grid</keyword>
</searchKeys>
<idPurp>The 10-meter USNG grid is provided for reference and operational use by City of Miami departments and partner agencies. The dataset covers the City of Miami and an approximate one-mile buffer to support coordination beyond municipal boundaries. The City of Miami assumes no liability for errors, omissions, or misuse of the data. This dataset is not intended for legal, cadastral, surveying, engineering, or navigation purposes.</idPurp>
<idAbs>The 10-Meter United States National Grid (USNG) dataset is a high-resolution spatial reference grid derived from the City of Miami's 100-meter USNG grid. Each 100-meter grid cell is subdivided into 10-meter cells to provide enhanced locational precision for mapping, field operations, and emergency management activities. The dataset serves as a standardized geographic reference framework for City of Miami departments, supporting daily operations, asset management, incident reporting, resource deployment, damage assessment, and disaster response. By providing a common coordinate-based reference system, the grid facilitates consistent location identification, interdepartmental coordination, situational awareness, and integration of spatial data across City functions.</idAbs>
<idCredit>Source: City of Miami, Department of Innovation and Technology, Application Division, Geographic Information Systems (GIS) Team. Developed and maintained to support City departments and partner agencies with standardized location referencing for daily operations, emergency management, and disaster response. [RB]</idCredit>
<resConst>
<Consts>
<useLimit>The 10-meter USNG grid is provided for reference and operational use by City of Miami departments and partner agencies. The dataset covers the City of Miami and an approximate one-mile buffer to support coordination beyond municipal boundaries. The City of Miami assumes no liability for errors, omissions, or misuse of the data. This dataset is not intended for legal, cadastral, surveying, engineering, or navigation purposes.</useLimit>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
