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<!DOCTYPE metadata SYSTEM "http://fgdc.gov/metadata/fgdc-std-001-1998.dtd">
<metadata>
	<idinfo>
		<citation>
			<citeinfo>
				<origin>Quantum Spatial, Inc.</origin>
				<pubdate>20181211</pubdate>
				<title>Ottawa National Forest, MI, 2017 LiDAR; Hydro-Flattened DEM</title>
				<geoform>Raster digital data</geoform>
				<pubinfo>
					<pubplace>Lexington, KY</pubplace>
					<publish>Quantum Spatial, Inc.</publish>
				</pubinfo>
			</citeinfo>
		</citation>
		<descript>
			<abstract> 
				Product: These are Digital Elevation Model (DEM) data for Gogebic, Houghton, Iron and Ontonagon Counties, Michigan as part of the required deliverables for the Ottawa National Forest, MI 2017 QL2 LiDAR project. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 2.5-foot hydro-flattened raster DEM. 
				Geographic Extent: Four counties in Michigan, covering approximately 2,563 total square miles. 
				Dataset Description: The Ottawa National Forest, MI, 2017 LiDAR project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.2. The data were developed based on a horizontal projection/datum of NAD83 (2011), State Plane Michigan North FIPS 2111, Intl feet and vertical datum of NAVD88 (GEOID12B), Intl feet. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 11,799 individual 2,500 feet x 2,500 feet tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 2,500 feet x 2,500 feet schema. Continuous breaklines were produced in Esri file geodatabase format. 
				Ground Conditions: LiDAR was collected in spring of 2018, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. utilized a total of 59 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 143 independent accuracy checkpoints, 81 in Bare Earth and Urban landcovers (81 NVA points), 62 in Tall Weeds categories (62 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.</abstract>
			<purpose>To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create intensity images, breaklines and raster DEMs. The purpose of these LiDAR data was to produce high accuracy 3D hydro-flattened digital elevation models (DEMs) with a 2.5-foot cell size. These raw LiDAR point cloud data were used to create classified LiDAR LAS files, intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.</purpose>
			<supplinf>
				Raster File Type = IMG
				Bit Depth/Pixel Type = 32-bit float
				Raster Cell Size = 2.5 Feet
				Interpolation or Resampling Technique = Triangulated Irregular Network (TIN), Linear Interpolation, Proprietary
			</supplinf>			
			</descript>
		<timeperd>
			<timeinfo>
				<rngdates>
					<begdate>20180515</begdate>
					<enddate>20181024</enddate>
				</rngdates>
			</timeinfo>
			<current>ground condition</current>
		</timeperd>
		<status>
			<progress>Complete</progress>
			<update>None planned</update>
		</status>
		<spdom>
			<bounding>
				<westbc>-90.24306067</westbc>
				<eastbc>-88.6095749</eastbc>
				<northbc>46.77110143</northbc>
				<southbc>46.01211535</southbc>
			</bounding>
		</spdom>
		<keywords>
			<theme>
				<themekt>None</themekt>
				<themekey>Model</themekey>
				<themekey>Raster</themekey>
				<themekey>DEM</themekey>
				<themekey>Remote Sensing</themekey>
				<themekey>Elevation Data</themekey>
				<themekey>Lidar</themekey>
			</theme>
			<place>
				<placekt>None</placekt>
				<placekey>Michigan</placekey>
				<placekey>Gogebic County</placekey>
				<placekey>Houghton County</placekey>
				<placekey>Iron County</placekey>
				<placekey>Ontonagon County</placekey>
			</place>
		</keywords>
		<accconst>No restrictions apply to these data.</accconst>
		<useconst>None. However, users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of these data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of their limitations.</useconst>
	</idinfo>
	<dataqual>
		<logic>Data cover the entire area specified for this project.</logic>
		<complete>Datasets contain complete coverage of tiles. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. There are no void areas or missing data. The raw point cloud is of good quality and data passes Non-Vegetated Vertical Accuracy specifications.</complete>
		<posacc>
			<vertacc>
				<vertaccr>The project specifications require the accuracy (ACCz) of the derived DEM be calculated and reported in two ways: 1. The required NVA is: 19.6 cm at a 95% confidence level, derived according to NSSDA, i.e., based on RMSE of 10 cm in the "bare earth" and "urban" land cover classes. This is a required accuracy. The NVA was tested with 81 checkpoints located in bare earth and urban (non-vegetated) areas. 2. Vegetated Vertical Accuracy (VVA): VVA shall be reported for "tall weeds" land cover classes. The target VVA is: 29.4 cm at the 95th percentile, derived according to ASPRS Guidelines, Vertical Accuracy Reporting for LiDAR Data, i.e., based on the 95th percentile error in all vegetated land cover classes combined. This is a target accuracy. The VVA was tested with 62 checkpoints located in forested and tall weeds (vegetated) areas. The checkpoints were distributed throughout the project area and were surveyed using GPS techniques. See survey report for additional survey methodologies. AccuracyZ has been tested to meet 19.6 cm or better Non-Vegetated Vertical Accuracy at 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines.</vertaccr>
				<qvertpa>
					<vertaccv>0.0845</vertaccv>
					<vertacce>Tested 0.0845 meters NVA at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). The NVA of the DEM was calculated using 81 independent checkpoints located in the Bare Earth and Urban land cover categories.</vertacce>
				</qvertpa>
				<qvertpa>
					<vertaccv>0.137</vertaccv>
					<vertacce>Tested 0.137 meters VVA was calculated using 62 checkpoints located in the Forested and Tall Weeds land cover categories at the 95th percentile, derived according to ASPRS Guidelines, Vertical Accuracy Reporting for LiDAR Data. Tested against the DEM.</vertacce>
				</qvertpa>
			</vertacc>
		</posacc>
		<lineage>
			<procstep>
				<procdesc>Hydro-Flattened Raster DEM Processing: Class 2 (Ground) LiDAR points in conjunction with the hydro-breaklines were used to create a 2.5-foot hydro-flattened raster DEM. Using automated scripting routines within ArcMap, an ERDAS Imagine .IMG file was created for each tile. Each surface was reviewed using Global Mapper to check for any surface anomalies or incorrect elevations found within the surface.</procdesc>
				<procdate>2018</procdate>
			</procstep>
		</lineage>
	</dataqual>
	<spdoinfo>
		<direct>Raster</direct>
		<rastinfo>
			<rasttype>Pixel</rasttype>
			<rowcount>1000</rowcount>
			<colcount>1000</colcount>
		</rastinfo>
	</spdoinfo>
	<spref>
		<horizsys>
			<planar>
				<gridsys>
					<gridsysn>State Plane Coordinate System 1983</gridsysn>
					<spcs>
						<spcszone>2111</spcszone>
						<lambertc>
							<stdparll>45.48333333</stdparll>
							<stdparll>47.08333333</stdparll>
							<longcm>-87</longcm>
							<latprjo>44.78333333</latprjo>
							<feast>26246719.16</feast>
							<fnorth>0</fnorth>
						</lambertc>
					</spcs>
				</gridsys>
				<planci>
					<plance>coordinate pair</plance>
					<coordrep>
						<absres>2.5</absres>
						<ordres>2.5</ordres>
					</coordrep>
					<plandu>Intl feet</plandu>
				</planci>
			</planar>
			<geodetic>
				<horizdn>NAD83 (2011)</horizdn>
				<ellips>Geodetic Reference System 80</ellips>
				<semiaxis>6378137.0</semiaxis>
				<denflat>298.257222101</denflat>
			</geodetic>
		</horizsys>
		<vertdef>
			<altsys>
				<altdatum>NAVD88 (GEOID12B)</altdatum>
				<altres>0.01</altres>
				<altunits>Intl feet</altunits>
				<altenc>Explicit elevation coordinate included with horizontal coordinates</altenc>
			</altsys>
		</vertdef>
	</spref>
	<metainfo>
		<metd>20190417</metd>
		<metc>
			<cntinfo>
				<cntorgp>
					<cntorg>Quantum Spatial</cntorg>
				</cntorgp>
				<cntaddr>
					<addrtype>mailing and physical</addrtype>
					<address>523 Wellington Way</address>
					<city>Lexington</city>
					<state>KY</state>
					<postal>40503</postal>
					<country>USA</country>
				</cntaddr>
				<cntvoice>859-277-8700</cntvoice>
				<cntfax>859-277-8901</cntfax>
				<hours>Monday through Friday 8:00 AM to 5:00 PM (Eastern Time)</hours>
				<cntinst>If unable to reach the contact by telephone, please send an email. You should get a response within 24 hours.</cntinst>
			</cntinfo>
		</metc>
		<metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>
		<metstdv>FGDC-STD-001-1998</metstdv>
		<metac>None.</metac>
		<metuc>None.</metuc>
		<metsi>
			<metscs>None.</metscs>
			<metsc>Unclassified</metsc>
			<metshd>NONE</metshd>
		</metsi>
	</metainfo>
</metadata>