Description: <p>Building density is derived from finding the number of structures (and their density) for each fine scale vegetation map polygon. The source of the structure locations is the Marin Countywide impervious surfaces map. </p>
<p>Building footprints were mapped with Object Based Image Analysis methods, using 6-inch, 4-band high-resolution aerial imagery collected in June 2018. The 2018 building footprints are treated as a proxy for buildings or structures, and used to calculate building density.</p>
<p>Limitations of this data include possible errors of omission, inclusion of non-building features (commission), absence of information on building use, occupancy status, or structural composition. However, this dataset represents the best available spatial layer depicting structures in Marin County. </p>
<p>To calculate building density for each polygon in the 2018 Fine Scale Vegetation Map, analysts calculated the number of structures (2018 building footprints) per acre within each polygon. One of six classes for classified structures per acre were then assigned to each polygon in the 2018 Fine Scale Vegetation Map ranging from 0 - .1 structures per acre to >=3 structures per acre. </p>
<p>See Chapter 8 of the <a href="https://www.onetam.org/sites/default/files/pdfs/marin_regional_forest_health_strategy_2023.pdf">Marin Regional Forest Health Strategy</a> (Page 440 - Calculating Building Density) for more information.</p>
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Name: Classified Building Density (within 1/4 mile)
Display Field: OID_COPY
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Description: <p>Building density is derived from finding the number of structures (and their density) for each fine scale vegetation map polygon. The source of the structure locations is the Marin Countywide impervious surfaces map. </p>
<p>Building footprints were mapped with Object Based Image Analysis methods, using 6-inch, 4-band high-resolution aerial imagery collected in June 2018. The 2018 building footprints are treated as a proxy for buildings or structures, and used to calculate building density.</p>
<p>Limitations of this data include possible errors of omission, inclusion of non-building features (commission), absence of information on building use, occupancy status, or structural composition. However, this dataset represents the best available spatial layer depicting structures in Marin County. </p>
<p>To calculate building density for each polygon in the 2018 Fine Scale Vegetation Map <u>with an additional quarter mile buffer</u>, analysts calculated the number of structures (2018 building footprints) per acre within <u>each buffered polygon</u>. One of six classes for classified structures per acre were then assigned to each polygon in the 2018 Fine Scale Vegetation Map ranging from 0 - .1 structures per acre to >=3 structures per acre. </p>
<p>See Chapter 8 of the <a href="https://www.onetam.org/sites/default/files/pdfs/marin_regional_forest_health_strategy_2023.pdf">Marin Regional Forest Health Strategy</a> (Page 440 - Calculating Building Density) for more information.</p>
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Name: Departure from Desired Conditions Index (V3)
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Description: <p>Departure from desired conditions was modeled by assigning scores based on forest health attributes. Short (less than 60 feet) stands of Douglas-fir received 4 points, medium (60-110 ft.) stands of Douglas-fir received 3 points, short redwood received 2 points, non-native woody vegetation received 10 points, and points were added for areas with significant standing dead trees. Stands with high and very high ladder fuels were assigned 2 and 3 points, respectively. Finally, threatened and converting oak stands were assigned three points. Scores were totaled and the resulting raw score was classified into 6 classes with 1 representing the smallest departure from desired conditions and 6 representing the largest departure.</p>
<p>See Chapter 8 of the <a href="https://www.onetam.org/sites/default/files/pdfs/marin_regional_forest_health_strategy_2023.pdf">Marin Regional Forest Health Strategy</a> (Page 418 - Departure from Desired Conditions Index) for the logic model used to create this layer and example applications.</p>
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Description: <p>This is a map of relative wildfire hazard for Marin County. Wildfire hazard is based on a number of inputs: modeled flame length using the 2020 Marin County 5-meter fuel model, extreme fire weather potential, ember load index, suppression difficulty index, human development proximity, transmission line proximity, and historic ignitions. These inputs were assigned weights and summed. The resulting values were published as a 20 meter countywide raster and the mean hazard value was calculated for each fine scale vegetation map stand.</p>
<p>See Chapter 8 of the <a href="https://www.onetam.org/sites/default/files/pdfs/marin_regional_forest_health_strategy_2023.pdf">Marin Regional Forest Health Strategy</a> (Page 434 - Calculating Wildfire Hazard Within a Stand) for more information.</p>
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Description: <div style="text-align:left;"><p style><span style="font-size:12pt;">This layer integrates wildfire hazard and building density. </span></p><p style><span style="font-size:16px;">Wildfire hazard is based on a number of inputs: modeled flame length using the 2020 Marin County 5-meter fuel model, extreme fire weather potential, ember load index, suppression difficulty index, human development proximity, transmission line proximity, and historic ignitions. These inputs were assigned weights and summed. </span><span style="font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;">The resulting values were published as a 20 meter countywide raster and the mean hazard value was calculated for each fine scale vegetation map stand</span><span style="font-size:16px;">. This data is displayed independently in the </span><a href="https://www.arcgis.com/home/item.html?id=1634ea2f1cfa431c86f05be67606a778&sublayer=1" target="_blank">Classified Mean Wildfire Hazard Within Stand</a><span style="font-size:16px;"> polygon layer.</span></p><p style><span style="font-size:16px;">Building density is derived from finding the number of structures (and their density) for each fine scale vegetation map polygon. The source of the structure locations is the Marin Countywide impervious surfaces map. This data is displayed independently in the </span><a href="https://www.arcgis.com/home/item.html?id=1634ea2f1cfa431c86f05be67606a778&sublayer=5" target="_blank">Classified Building Density (Within Stand)</a><span style="font-size:16px;"> polygon layer.</span></p><p style><span style="font-size:12pt;">B</span><span style="font-size:16px;">ivariate symbology was used to highlight </span><span style="font-size:16px;">areas that have both high relative wildfire hazard and building density. In this map, areas of significance are highlighted by displaying </span><span style="font-size:16px;">only wildfire hazard values greater than four (classified as Highest Hazard, Very High Hazard, or High Hazard) and building density classification of greater </span><span style="font-size:16px;">than 0.1 structures per acre (i.e., polygons with 0 structures per acre are not displayed).</span><span style="font-size:12pt;"> </span></p><p style>See Chapter 8 of the <a href="https://www.onetam.org/sites/default/files/pdfs/marin_regional_forest_health_strategy_2023.pdf" target="_blank">Marin Regional Forest Health Strategy</a> (Page 442 - Integrating Building Density with Wildfire Hazard) for more information.<br /></p><p style><br /></p></div>
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