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		Datasets for other geographies were produced separately; metadata for these related datasets may be found here:
		Guam https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/CanopyVegetationImpervious_GU_place.xml,
		Northern Mariana Islands https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/CanopyVegetationImpervious_CNMI_place.xml.
		
		This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).</gco:CharacterString>
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              <gmd:eastBoundLongitude>
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              <gmd:southBoundLatitude>
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              <gmd:extent>
                <gml:TimePeriod gml:id="id1">
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        <gco:CharacterString>This dataset can be merged to the Pacific Territories 2020 Census Place feature classes (cb_2020_60_place_500k) using the field 'AFFGEOID.'</gco:CharacterString>
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            <gco:CharacterString>September - October 2024 

Input Data
     1. Feature Classes: 2020 Census place shapefiles for American Samoa.
     2. Land Cover Rasters: 2022 NOAA C-CAP rasters for water, impervious surface, and canopy for each territory. (https://coastalimagery.blob.core.windows.net/ccap-landcover/CCAP_bulk_download/High_Resolution_Land_Cover/Phase_1_Initial_Layers/index.html)
     3. Population Data: 2020 Census Island Area Demographic Profile population data by place for each territory (https://www.census.gov/geographies/mapping-files/time-series/geo/cartographic-boundary.2020.html#list-tab-1883739534).
Processing Steps
1. Coordinate Transformation
     o Place boundary feature classes were transformed from NAD 1983 to WGS 1984 UTM Zone 2S.
     o Rasters were already in WGS 1984 UTM Zone 2S.
2. Land Cover Tabulation
     o Areas for each land cover raster were calculated per place using Tabulate Area with the AFFGEOID column as the zone field.
     o Tabulated results were joined to the place feature class via the AFFGEOID column.
3. Calculations
Five derived fields were added to the block group attribute table and calculated as follows:
     o PercentLandCanopy = (Area of canopy (value 1)/Area of land (water value 0))&#215;100
     o PercentLandImpervious = (Area of impervious surface (value 1)/Area of land (water value 0))&#215;100
     o PercentLandVegetation = (Area of canopy (values 1 + 2)/Area of land (water value 0))&#215;100
     o CanopyImpRatio = Area of canopy (value 1)/Area of impervious surface (value 1)
     o VegetationImpRatio = Area of canopy raster (values 1 + 2)/Area of impervious surface (value 1)
Note: In the canopy raster, values 1 and 2 represent "canopy" and "scrub/shrub" respectively. In the impervious raster, value 1 represents impervious surface. In the water raster, value 0 represents land area and value 1 represents water area.
4. Population Data Integration
     o The 2020 census population table was joined to the place table via the AFFGEOID column.
5. Per Capita Metrics
Three additional fields were added and calculated as follows:
     o CanopyPerCapita = Area of canopy (value 1)/Population
     o ImperviousPerCapita = Area of impervious surface (value 1)/Population
     o VegetationPerCapita = Area of canopy (values 1 + 2)/Population
The final tables for each of the three territories were merged. </gco:CharacterString>
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