1.0
DCPLUS
20211107
04482200
20211107
04482200
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https://www.arcgis.com/home/item.html?id=3139216621c64139a281f6b162047161
3139216621c64139a281f6b162047161
Feature Service
https://services5.arcgis.com/tdQLEzq0fgVElWN3/arcgis/rest/services/MarinCountyStructures_DefensibleSpace_gdb/FeatureServer
Marin County Structure Footprints and Defensible Space Areas (Feature Service)
2021-11-07T04:48:22
2021-11-07T05:14:12
Wildfire
Defensible Space
Structures
Two feature classes: 1) Marin County structures and 2) Marin County structures with a 100 foot buffer, representing structure defensible space areas.
<p style='margin-bottom:3.0pt;'><b><span style='font-size:13.0pt;'>Dataset Summary</span></b><span style='font-size:14.0pt;'>:</span></p>
<p>For the product datasheet, visit: <a href='https://vegmap.press/marin_structures_datasheet' target='_blank' rel='nofollow ugc noopener noreferrer'>https://vegmap.press/marin_structures_datasheet</a></p><p>The Marin County structure footprints and structure
defensible space datasets depict 1) structure footprints as polygons and 2)
structure footprints buffered by 100 feet (defensible space areas around
structures).<span> </span>These two datasets are derived
directly from the Marin County impervious surfaces map, which was created by
the University of Vermont’s Spatial Analysis Lab.<span> </span>The impervious map was derived from Quality
Level 1 (QL1) lidar data which was collected in early 2019.<span> </span><span> </span>Table
1 lists download locations for these datasets.</p>
<p style='margin-left:0in; text-indent:0in;'><i><span><span>Table 1. <span style='font:7.0pt "Times New Roman";'> </span></span></span></i>Marin
County structure footprints and defensible space areas data product
availability</p>
<table border='1' cellpadding='0' cellspacing='0' style='width:489.15pt; border-collapse:collapse; border:none;' width='652'>
<tbody><tr style='height:15.65pt;'>
<td style='width:185.4pt; border:solid windowtext 1.0pt; padding:0in 5.4pt 0in 5.4pt; height:15.65pt;' valign='top' width='247'>
<p style='margin-left:0in; text-align:center; text-indent:0in;'><b>Description</b></p>
</td>
<td style='width:303.75pt; border:solid windowtext 1.0pt; border-left:none; padding:0in 5.4pt 0in 5.4pt; height:15.65pt;' valign='top' width='405'>
<p style='margin-left:0in; text-align:center; text-indent:0in;'><b>Link</b></p>
</td>
</tr>
<tr style='height:15.65pt;'>
<td style='width:185.4pt; border:solid windowtext 1.0pt; border-top:none; padding:0in 5.4pt 0in 5.4pt; height:15.65pt;' valign='top' width='247'>
<p style='margin-left:0in; text-indent:0in;'>File GDB</p>
</td>
<td style='width:303.75pt; border-top:none; border-left:none; border-bottom:solid windowtext 1.0pt; border-right:solid windowtext 1.0pt; padding:0in 5.4pt 0in 5.4pt; height:15.65pt;' valign='top' width='405'>
<p style='margin-left:0in; text-indent:0in;'><a href='https://vegmap.press/marin_structures_fgdb' rel='nofollow ugc'>https://vegmap.press/marin_structures_fgdb</a></p>
</td>
</tr>
<tr style='height:15.65pt;'>
<td style='width:185.4pt; border:solid windowtext 1.0pt; border-top:none; padding:0in 5.4pt 0in 5.4pt; height:15.65pt;' valign='top' width='247'>
<p style='margin-left:0in; text-indent:0in;'>Feature Service</p>
</td>
<td style='width:303.75pt; border-top:none; border-left:none; border-bottom:solid windowtext 1.0pt; border-right:solid windowtext 1.0pt; padding:0in 5.4pt 0in 5.4pt; height:15.65pt;' valign='top' width='405'>
<p style='margin-left:0in; text-indent:0in;'><a href='https://vegmap.press/marin_structures_feature_service' rel='nofollow ugc'>https://vegmap.press/marin_structures_feature_service</a></o:p></p>
</td>
</tr>
</tbody></table>
<p><br /></p>
<p><b><span style='font-size:13.0pt;'>Detailed
Dataset Description</span></b><span style='font-size:14.0pt;'>:</span><br />
The impervious map and derived structure and defensible space datasets were
created using “expert systems” rulesets developed in Trimble Ecognition. These
rulesets combine automated image segmentation with-object based image
classification techniques. In contrast with machine learning approaches, expert
systems rulesets are developed heuristically based on the knowledge of
experienced image analysts. Key data sets used in the expert systems
rulesets for impervious mapping included: orthophotography (2018), the
lidar point cloud (2019), and lidar derived rasters.</p>
<p>After it was produced using Trimble Ecognition, the
preliminary impervious map product was manually edited by a team of UVM’s photo
interpreters.<span> </span>Manual editing corrected
errors where the automated methods produced incorrect results.</p>
<p>Structure footprints and their associated defensible space
areas were mapped if they had an area greater than 200 square feet.</p>
<p><b><span style='font-size:13.0pt;'>Data Limitations:</span></b></p>
<p><span>Building footprints
are derived from the lidar point cloud using mostly automated techniques.<span> </span>As a result, false positives (buildings in
the dataset that don’t exist on the ground) do occasionally appear in the
datasets.<span> </span>False negatives (buildings
that exist on the ground but not in the dataset) also exist, especially where
houses are partially or totally obscured by tree canopy.<span> </span></span></p>
<p><b><span style='font-size:13.0pt;'>Related Datasets:</span></b></p>
<p style='text-indent:-.25in;'><!--<span style='font-family:Symbol;'><span>·<span style='font:7.0pt "Times New Roman";'>
</span></span></span><b>Impervious
Surfaces Map – </b><span>The</span><b> </b><a href='https://vegmap.press/marin_impervious_datasheet' rel='nofollow ugc'><span>impervious surfaces map</span></a><span>
is a fine scale map of built features including dirt gravel roads, paved roads,
buildings, and other impervious surfaces.</span></p>
Golden Gate National Parks Conservancy, Tamalpais Lands Collaborative (One Tam), University of Vermont Spatial Analysis Lab, Tukman Geospatial LLC, Quantum Spatial
-123.03473926885658
-122.41789199149947
38.327123036322035
37.8058243939085
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
3139216621c64139a281f6b162047161
https://services5.arcgis.com/tdQLEzq0fgVElWN3/arcgis/rest/services/MarinCountyStructures_DefensibleSpace_gdb/FeatureServer
Feature Service
EPSG