<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20230112</CreaDate>
        <CreaTime>13540200</CreaTime>
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        <SyncOnce>TRUE</SyncOnce>
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        <idCitation>
            <resTitle>Grass and Non-Vegetated Areas</resTitle>
        </idCitation>
        <idAbs>&lt;DIV STYLE="text-align:Left;font-size:12pt"&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Diamond Head used Bellingham's 2013 vegetation model to identify grass and non-vegetated areas that my have the potential to support tree planting in the future.  Roads, parks facilities (e.g. sports fields, active use areas, etc.), impervious surfaces, buildings, and the 2018 canopy layer were erased from the layer to update it to 2018 conditions and remove areas that would not have potential to support tree planting.  The grass and non-vegetated areas were then grouped by ownership and management class.  Finally, Diamond Head generated course estimates of the number of trees that could potentially occupy these spaces if planted.  Estimates for number of potential trees were calculated by management unit and tree soil area (assuming 24 inch depth) based on the Bellingham's City Center Street Design Standards which recommend soil areas for: 1. Large trees (50 ft mature canopy) recommend soil area of 750 sq ft; 2. Medium/large trees (40 ft mature canopy) recommend soil area of 600 sq ft; 3. Medium trees (35 ft mature canopy) recommend soil area of 500 sq ft; 4. Small trees (20 ft mature canopy) recommend soil area of 300 sq ft.  The number of trees that could potentially be planted based on these recommended soil areas was calculated from largest to smallest meaning that all sites larger than 750 ft2 were assumed to be large trees only, then sites between 600 ft2 and 749 ft2 were medium/large trees only and so on until only small tree sites remained. Polygons smaller than 300 ft2 were not considered plantable. This analysis provides an estimate of the relative capacity of different land uses to support tree planting and potential canopy gain. While these areas provide a coarse relative estimate of the potentially available planting areas in the City, other considerations including site constraints and usage conflicts and future land use would need to be considered to refine these areas into actionable planting opportunities.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
        <idCredit>City of Bellingham, Diamond Head Consulting</idCredit>
        <idPurp>A vegetation model to identify areas that have the potential to support tree plantings in the future. 
See https://cob.org/services/planning/environmental/ufmp</idPurp>
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                <useLimit>&lt;DIV STYLE="text-align:Left;font-size:12pt"&gt;&lt;P&gt;&lt;SPAN&gt;See: https://cob.org/about/policies&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;</useLimit>
            </Consts>
        </resConst>
        <searchKeys>
            <keyword>Forest</keyword>
            <keyword>Urban</keyword>
            <keyword>Natural Resources</keyword>
            <keyword>Environmental</keyword>
        </searchKeys>
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</Data>
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