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<CreaDate>20231116</CreaDate>
<CreaTime>08520600</CreaTime>
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<resTitle>Sonoma_Veg_Map_Vegetation_and_Habitat</resTitle>
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<Consts>
<useLimit>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;You are free to: Share - copy and redistribute the data in any medium or format. Adapt - You may make derivative works, transform, and build upon the data for any purpose, even commercial. The licensor cannot revoke these freedoms as long as you follow the license terms.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;License terms: Attribution - You must give appropriate credit (if supplied, you must provide the name of the creator and attribution parties, a copyright notice, a license notice, a disclaimer notice and a link to the material) and indicate if any changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you, your organization, or your use of the data. ShareAlike - if you modify, transform, or build on the data, you must distribute your contributions under the same license as the original.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;No additional Restrictions - You may not apply legal terms or technological measures that legally restrict others form doing anything the license permits.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Notices: You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation. No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the data.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;EXCEPT TO THE EXTENT REQUIRED BY APPLICABLE LAW, IN NO EVENT WILL LICENSOR BE LIABLE TO YOU ON ANY LEGAL THEORY FOR ANY SPECIAL, INCIDENTAL, CONSEQUENTIAL, PUNITIVE OR EXEMPLARY DAMAGES ARISING OUT OF THIS LICENSE OR THE USE OF THE DATA, EVEN IF LICENSOR HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;The above is an easily understandable summary of and not a substitute for the license and disclaimer for the Attribution-ShareAlike 3.0 United States (CC BY-SA 3.0 US) the full text is available at creativecommons.org.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;https://creativecommons.org/licenses/by-sa/3.0/us/legalcode&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</useLimit>
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<idCredit>Sonoma County Water Agency, Sonoma County Agricultural Preservation and Open Space District, Sonoma County Vegetation Mapping and LiDAR Program</idCredit>
<idPurp>The Sonoma County fine scale vegetation and habitat map is an 83-class vegetation map of Sonoma County with 212,391 polygons. The fine scale vegetation and habitat map represents the state of the landscape in 2013 and adheres to the National Vegetation Classification System (NVC). The map was designed to be used at scales of 1:5,000 and smaller. Static copy for Onsite Waste Treatment Systems (OWTS).</idPurp>
<searchKeys>
<keyword>Sonoma County</keyword>
<keyword>Vegetation Map</keyword>
<keyword>Veg</keyword>
<keyword>Vegetation</keyword>
<keyword>vegmap</keyword>
<keyword>habitat</keyword>
<keyword>OWTS</keyword>
</searchKeys>
<idAbs>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;The Sonoma County fine scale vegetation and habitat map is an 82-class vegetation map of Sonoma County with 212,391 polygons. The fine scale vegetation and habitat map represents the state of the landscape in 2013 and adheres to the National Vegetation Classification System (NVC). The map was designed to be used at scales of 1:5,000 and smaller. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;The full datasheet for this product is available here: https://sonomaopenspace.egnyte.com/dl/qOm3JEb3tD &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;The final report for the fine scale vegetation map, containing methods and an accuracy assessment, is available here: https://sonomaopenspace.egnyte.com/dl/1SWyCSirE9&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Class definitions, as well as a dichotomous key for the map classes, can be found in the Sonoma Vegetation and Habitat Map Key (https://sonomaopenspace.egnyte.com/dl/xObbaG6lF8)&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;A layer package containing the same spatial data as this download, but with the symbology seen in the thumbnail above can be found here: http://sonomaopenspace.maps.arcgis.com/home/item.html?id=ae914472d03b436a8a32e6dc2f8937b1. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;The symbology is also available as a layer file (without spatial data) here: http://sonomaopenspace.maps.arcgis.com/home/item.html?id=e11a2b6ffb334145bd8f4efba2a83d6f.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;The fine scale vegetation and habitat map was created using semi-automated methods that include field work, computer-based machine learning, and manual aerial photo interpretation. The vegetation and habitat map was developed by first creating a lifeform map, an 18-class map that served as a foundation for the fine-scale map. The lifeform map was created using “expert systems” rulesets in Trimble Ecognition. These rulesets combine automated image segmentation (stand delineation) 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 lifeform included: orthophotography (’11 and ’13), the LiDAR derived Canopy Height Model (CHM), and other LiDAR derived landscape metrics. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;After it was produced using Ecognition, the preliminary lifeform map product was manually edited by photo interpreters. Manual editing corrected errors where the automated methods produced incorrect results. Edits were made to correct two types of errors: 1) unsatisfactory polygon (stand) delineations and 2) incorrect polygon labels.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;The mapping team used the lifeform map as the foundation for the finer scale and more floristically detailed Fine Scale Vegetation and Habitat map. For example, a single polygon mapped in the lifeform map as forest might be divided into four polygons in the in the fine scale map including redwood forest, Douglas-fir forest, Oregon white oak forest, and bay forest. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;The fine scale vegetation and habitat map was developed using a semi-automated approach. The approach combines Ecognition segmentation, extensive field data collection, machine learning, manual editing, and expert review. Ecognition segmentation results in a refinement of the lifeform polygons. Field data collection results in a large number of training polygons labeled with their field-validated map class. Machine learning relies on the field collected data as training data and a stack of GIS datasets as predictor variables. The resulting model is used to create automated fine-scale labels countywide. Machine learning algorithms for this project included both Random Forests and Support Vector Machines (SVMs). Machine learning is followed by extensive manual editing, which is used to 1) edit segment (polygon) labels when they are incorrect and 2) edit segment (polygon) shape when necessary.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;The map classes in the fine scale vegetation and habitat map generally correspond to the alliance level of the National Vegetation Classification, but some map classes - especially riparian vegetation and herbaceous types - correspond to higher levels of the hierarchy (such as group or macrogroup). &lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
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