﻿<?xml version="1.0" encoding="UTF-8"?>
<metadata>
  <idinfo>
    <datsetid>002</datsetid>
    <citation>
      <citeinfo>
        <origin>Sonoma County Vegetation Mapping and LiDAR Program</origin>
        <pubdate>20140219</pubdate>
        <title>Sonoma County 2013 LiDAR Breaklines</title>
        <geoform>vector digital data</geoform>
      </citeinfo>
    </citation>
    <descript>
      <abstract>This three-dimensional polygon (PolygonZ) dataset represents water bodies that were hydro-flattened in accordance with the LiDAR Base Specifications Version 1.0 (USGS, 2012). These polylines were inserted as hard breaklines in the creation of the associated Hydro-Flattened Bare Earth rasters. Elevation values are recorded in meters. Watershed Sciences, Inc. collected the LiDAR near Farmington, UT in Davis County and created this data set for the State of Utah AGRC. The projection is California State Plane Zone II (FIPS 0402), NAD83 (2011), with units in US Survey Feet</abstract>
      <purpose>The University of Maryland (under grant NNX13AP69G from NASA’s Carbon Monitoring System, Dr. Ralph Dubayah and Dr. George Hurtt, PIs) contracted LiDAR and orthophoto data collection for all of Sonoma County in late 2013 to support countywide forest carbon mapping.  The Sonoma County Vegetation Mapping and LiDAR Program (http://sonomavegmap.org) funded a suite of LiDAR derived products and additional LiDAR collection in two areas in Mendocino County - the Soda Spring Creek-Dry Creek Watershed and Lake Mendocino. This fine scale data will help provide an accurate, up-to-date inventory of the county’s landscape features, ecological communities and habitats. 

Project funders include:  NASA, the University of Maryland, the Sonoma County Agricultural Preservation and Open Space District, the Sonoma County Water Agency, the California Department of Fish and Wildlife, the United States Geological Survey, the Sonoma County Information Systems Department, the Sonoma County Transportation and Public Works Department, the Nature Conservancy, and the City of Petaluma.</purpose>
    </descript>
    <timeperd>
      <timeinfo>
        <rngdates>
          <begdate>20130928</begdate>
          <enddate>20131126</enddate>
        </rngdates>
      </timeinfo>
      <current>Ground Condition: Leica ALS50 &amp; Leica ALS70</current>
    </timeperd>
    <status>
      <progress>Complete</progress>
      <update>None planned</update>
    </status>
    <spdom>
      <bounding>
        <westbc>-123.238581</westbc>
        <eastbc>-122.390681</eastbc>
        <northbc>38.511668</northbc>
        <southbc>38.298129</southbc>
      </bounding>
    </spdom>
    <keywords>
      <theme>
        <themekt>None</themekt>
        <themekey>LiDAR, Light Detection And Ranging</themekey>
      </theme>
      <place>
        <placekt>None</placekt>
        <placekey>Sonoma County, Lake Mendocino, Sonoma Lake Watershed</placekey>
      </place>
    </keywords>
    <thelayid>
      <numthlay>1</numthlay>
      <layrname>
        <theme>
          <themekt>None</themekt>
          <themekey>Breaklines</themekey>
        </theme>
      </layrname>
    </thelayid>
    <accconst>None</accconst>
    <useconst>LiDAR data and orthophotography were provided by the University of Maryland under grant  NNX13AP69G from NASA's Carbon Monitoring System (Dr. Ralph Dubayah and Dr. George Hurtt, Principal Investigators). This grant also funded the creation of derived forest cover and land cover information, including a countywide biomass and carbon map, a canopy cover map, and DEMs. The Sonoma County Vegetation Mapping and LiDAR Program funded LiDAR derived products in the California State Plane Coordinate System, such as DEMs, hillshades, building footprints, 1-foot contours, and other derived layers.  The entirety of this data is freely licensed for unrestricted public use, unless otherwise noted.  Any use of these data, including value-added products, within reports, papers, and presentations must acknowledge NASA Grant NNX13AP69G, the University of Maryland, and the Sonoma Vegetation Mapping and LiDAR Program as their sources.</useconst>
    <datacred>Sonoma County Vegetation Mapping and LiDAR Consortium, NASA, University of Maryland, Watershed Sciences, Inc., Tukman Geospatial LLC</datacred>
  </idinfo>
  <dataqual>
    <complete>Due to weather patterns and various other acquisition factors, contiguous LiDAR missions are occasionally flown more than a day apart and water levels can very between these flight missions.  See Process Steps for more information.</complete>
    <logic>Generalized three dimensional polylines were created to encompass all areas considered to be water and were assigned the water surface elevation value determined previously. All “flat” water bodies greater than two acres were considered for hydro-flattening. All "islands" greater than 100 square meters were retained in the digital elevation models (DEMs).</logic>
    <lineage>
      <procstep>
        <procdesc>1. LiDAR points sampled to arrive at an elevation threshold defining the water surface at the time of acquisition.
				2. Generalized three dimensional polylines were created to encompass all areas considered to be water and assigned the water surface elevation value.
				3. Centerlines were digitized for all water surfaces not perceived as “flat” then given z values.
				4. A bounding polygon was created around the water points with all discontinuities (e.g., bridges, overhanging vegetation, etc.) removed. Z-values were applied to the bounding polygon based on the elevation values of the associated centerlines.
				5. The bare-earth DEMs were created by triangulating all “ground” classified points and inserting 3-D breaklines utilizing TerraSolid’s TerraScan and TerraModeler software.</procdesc>
        <procdate>20140219</procdate>
      </procstep>
    </lineage>
  </dataqual>
  <spdoinfo>
    <direct>Vector</direct>
    <ptvctinf>
      <sdtsterm>
        <sdtstype>GT-polygon composed of chains</sdtstype>
        <ptvctcnt>2</ptvctcnt>
      </sdtsterm>
    </ptvctinf>
  </spdoinfo>
  <spref>
    <horizsys>
      <planar>
        <mapproj>
          <mapprojn>NAD 1983 (2011)State Plane California FIPS 0402</mapprojn>
          <lambertc>
            <stdparll>38.33333333</stdparll>
            <stdparll>39.83333333</stdparll>
            <longcm>-122.0</longcm>
            <latprjo>37.66666667</latprjo>
            <feast>6561666.66666667</feast>
            <fnorth>1640416.66666667</fnorth>
          </lambertc>
        </mapproj>
        <planci>
          <plance>coordinate pair</plance>
          <coordrep>
            <absres>0.000000027039137595608057</absres>
            <ordres>0.000000027039137595608057</ordres>
          </coordrep>
          <plandu>foot_us</plandu>
        </planci>
      </planar>
      <geodetic>
        <horizdn>D NAD 1983 2011</horizdn>
        <ellips>GRS 1980</ellips>
        <semiaxis>6378137.0</semiaxis>
        <denflat>298.257222101</denflat>
      </geodetic>
    </horizsys>
  </spref>
  <eainfo>
    <detailed>
      <enttyp>
        <enttypl>SonomaCty_Breaklines</enttypl>
        <enttypd>Extent of hydro-flattened water surfaces</enttypd>
        <enttypds>WSI</enttypds>
      </enttyp>
      <attr>
        <attrlabl>FID</attrlabl>
        <attrdef>Internal feature number.</attrdef>
        <attrdefs>Esri</attrdefs>
        <attrdomv>
          <udom>Sequential unique whole numbers that are automatically generated.</udom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>Shape</attrlabl>
        <attrdef>Feature geometry.</attrdef>
        <attrdefs>Esri</attrdefs>
        <attrdomv>
          <udom>Coordinates defining the features.</udom>
        </attrdomv>
      </attr>
    </detailed>
  </eainfo>
  <distinfo>
    <distrib>
      <cntinfo>
        <cntorgp>
          <cntorg>Sonoma County Agricultural Preservation and Open Space District</cntorg>
        </cntorgp>
        <cntaddr>
          <addrtype>mailing and physical address</addrtype>
          <address>747 Mendocino Ave, Suite 100</address>
          <city>Santa Rosa</city>
          <state>CA</state>
          <postal>95401</postal>
          <country>US</country>
        </cntaddr>
        <cntvoice>(707) 565-7369</cntvoice>
      </cntinfo>
    </distrib>
    <distliab>Data were provided by the University of Maryland and the Sonoma County Vegetation Mapping and LiDAR Program (http://sonomavegmap.org) under grant NNX13AP69G from NASA’s Carbon Monitoring System (Dr. Ralph Dubayah, PI). This data is available for unrestricted public use. However, users should acknowledge the source of the data in any reports, publications, or presentations where the data is used.</distliab>
  </distinfo>
  <metainfo>
    <metd>20140219</metd>
    <metc>
      <cntinfo>
        <cntorgp>
          <cntorg>Watershed Sciences, Inc. (WSI)</cntorg>
        </cntorgp>
        <cntaddr>
          <addrtype>physical</addrtype>
          <address>421 S.W. 6th Ave., Suite 800</address>
          <city>Portland</city>
          <state>OR</state>
          <postal>97204</postal>
          <country>US</country>
        </cntaddr>
        <cntvoice>503-505-5100</cntvoice>
        <cntfax>503-546-6801</cntfax>
      </cntinfo>
    </metc>
    <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>
    <metstdv>FGDC-STD-001-1998</metstdv>
    <mettc>local time</mettc>
  </metainfo>
</metadata>