<?xml version='1.0' encoding='UTF-8'?>
<!DOCTYPE metadata SYSTEM "http://thor-f5.er.usgs.gov/ngtoc/metadata/fgdc-std-001-1998.dtd">
<metadata>
	<idinfo>
		<citation>
			<citeinfo>
				<origin>Woolpert</origin>
				<pubdate>20200629</pubdate>
				<title>OH Cuyahoga Co Lidar 2019; Classified Point Cloud</title>
				<geoform>Lidar point cloud</geoform>
			</citeinfo>
		</citation>
		<descript>
			<abstract>Product: Processed, classified lidar point cloud data tiles in LAS 1.4 format.
				Geographic Extent: Approximately 459.6 square miles of QL0 lidar data over Cuyahoga County in northern Ohio.
				Dataset Description: The OH Cuyahoga Co Lidar 2019 lidar project called for the planning, acquisition, processing, and production of derivative products of QL0 lidar data to be collected at a nominal pulse spacing (NPS) of 0.29 meters. Project specifications were based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.3. The data was developed based on a horizontal datum/projection of NAD83 (2011) State Plane Ohio North Zone US Survey Feet (EPSG 6549) and a vertical datum of NAVD88 (GEOID12B) US Survey Feet. Lidar data was delivered as processed LAS 1.4 files formatted to 8,445 individual 1,250-foot x 1,250-foot tiles.
				Ground Conditions: Lidar was collected from November 9, 2019 through November 26, 2019 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, Woolpert established 14 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 17 independent accuracy checkpoints (14 NVA points and 3 VVA points), were collected and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.</abstract>
			<purpose>This project will support the 3DEP mission, the Natural Resources Conservation Service (NRCS) high resolution elevation enterprise program and the Federal Emergency Management Agency (FEMA) Risk Mapping, Assessment and Planning (MAP) program.</purpose>
			<supplinf>USGS Contract No. G16PC00022, Task Order No. 140G0219F0279. Contractor: Woolpert.</supplinf>
			<lidar>
				<ldrinfo>
					<ldrspec>USGS NGP Base Specifications v1.3</ldrspec>
					<ldrsens>Leica Terrain Mapper (QL0)</ldrsens>
					<ldrmaxnr>15</ldrmaxnr>
					<ldrnps>0.29</ldrnps>
					<ldrdens>12</ldrdens>
					<ldranps>0.29</ldranps>
					<ldradens>12</ldradens>
					<ldrfltht>1372</ldrfltht>
					<ldrfltsp>130</ldrfltsp>
					<ldrscana>40</ldrscana>
					<ldrscanr>150</ldrscanr>
					<ldrpulsr>1320</ldrpulsr>
					<ldrpulsd>5</ldrpulsd>
					<ldrpulsw>2.5</ldrpulsw>
					<ldrwavel>1064</ldrwavel>
					<ldrmpia>1</ldrmpia>
					<ldrbmdiv>0.25</ldrbmdiv>
					<ldrswatw>999</ldrswatw>
					<ldrswato>25</ldrswato>
					<ldrgeoid>GEOID12B</ldrgeoid>
				</ldrinfo>
				<ldraccur>
					<ldrchacc>0</ldrchacc>
					<rawnva>0.065</rawnva>
					<rawnvan>14</rawnvan>
				</ldraccur>
				<lasinfo>
					<lasver>1.4</lasver>
					<lasprf>6</lasprf>
					<laswheld>Geometrically unreliable points were identified using a combination of automated and manual techniques and subsequently classified as high or low noise and given the standard Withheld bit.</laswheld>
					<lasolap>Swath "overage" points were identified in these files using the standard LAS overlap bit.</lasolap>
					<lasintr>16</lasintr>
					<lasclass>
						<clascode>1</clascode>
						<clasitem>Processed but not classified</clasitem>
					</lasclass>
					<lasclass>
						<clascode>2</clascode>
						<clasitem>Bare earth ground</clasitem>
					</lasclass>
					<lasclass>
						<clascode>7</clascode>
						<clasitem>Noise</clasitem>
					</lasclass>
					<lasclass>
						<clascode>9</clascode>
						<clasitem>Water</clasitem>
					</lasclass>
					<lasclass>
						<clascode>17</clascode>
						<clasitem>Bridge decks</clasitem>
					</lasclass>
					<lasclass>
						<clascode>20</clascode>
						<clasitem>Ignored ground</clasitem>
					</lasclass>
					<lasclass>
						<clascode>21</clascode>
						<clasitem>Snow</clasitem>
					</lasclass>
				</lasinfo>
			</lidar>
		</descript>
		<timeperd>
			<timeinfo>
				<rngdates>
					<begdate>20191109</begdate>
					<enddate>20191126</enddate>
				</rngdates>
			</timeinfo>
			<current>ground condition</current>
		</timeperd>
		<status>
			<progress>Complete</progress>
			<update>None planned</update>
		</status>
		<spdom>
			<bounding>
				<westbc>-81.976112</westbc>
				<eastbc>-81.369626</eastbc>
				<northbc>41.638259</northbc>
				<southbc>41.270340</southbc>
			</bounding>
			<lboundng>
				<leftbc>2112500</leftbc>
				<rightbc>2277500</rightbc>
				<topbc>718750</topbc>
				<bottombc>586250</bottombc>
			</lboundng>
		</spdom>
		<keywords>
			<theme>
				<themekt>None</themekt>
				<themekey>Lidar</themekey>
				<themekey>Classified LAS</themekey>
				<themekey>Elevation Data</themekey>
				<themekey>LAS Point Cloud</themekey>
				<themekey>Remote Sensing</themekey>
			</theme>
			<place>
				<placekt>None</placekt>
				<placekey>United States</placekey>
				<placekey>Ohio</placekey>
				<placekey>Cuyahoga 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 its limitations. Acknowledgement of the U.S. Geological Survey would be appreciated for products derived from these data.
			Woolpert prepared the original data as set forth in the Scope of Services, in accordance with reasonable care and due diligence as set forth in this Agreement, however, due to the easily alterable nature of electronic media, files, documents, and other deliverables, Woolpert makes no warranties, either expressed or implied, with respect to the accuracy, completeness, merchantability, or fitness for any particular purpose, including, but not limited to, use of any/all data as described within this metadata file, by any user of this data. Any use will be at the end-user's sole risk.</useconst>
		<native>Microsoft Windows 10 Version 1803 (Build 17134.1304); ArcMap 10.7; ArcCatalog 10.7; TerraScan ver. 20; TerraModeler ver. 20; LP360 v2019.1.30.4.</native>
	</idinfo>
	<dataqual>
		<logic>Data covers the entire area specified for this project.</logic>
		<complete>These LAS data files include all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist.</complete>
		<posacc>
			<horizpa>
				<horizpar>This data set was produced to meet ASPRS “Positional Accuracy Standards for Digital Geospatial Data” (2014) for a 17.6 cm RMSEx / RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 43.2 cm at a 95% confidence level.</horizpar>
			</horizpa>
			<vertacc>
				<vertaccr>The project specifications require that only Non-Vegetated Vertical Accuracy (NVA) be computed for raw lidar point cloud swath files. The required accuracy (ACCz) is: 19.6 cm at a 95% confidence level, derived according to NSSDA, i.e., based on RMSE of 10 cm in non-vegetated land cover classes. The NVA was tested with 14 checkpoints located in bare earth and urban (non-vegetated) areas across the entire project area. These check points were not used in the calibration or post processing of the lidar point cloud data. The checkpoints were distributed throughout the project area and were surveyed using GPS techniques. See survey report for additional survey methodologies. Elevations from the unclassified lidar surface were measured for the x,y location of each check point. Elevations interpolated from the lidar surface were then compared to the elevation values of the surveyed control points. 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 Standard for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines.</vertaccr>
				<qvertpa>
					<vertaccv>0.065</vertaccv>
					<vertacce>Tested 0.065 meters NVA at a 95% confidence level using RMSE(z) 0.033 x 1.9600 as defined by the National Standard for Spatial Data Accuracy (NSSDA). The NVA of the raw lidar point cloud swath files was calculated against TINs derived from the final calibrated and controlled swath data using 14 independent checkpoints located in non-vegetated land cover categories across the entire project area.</vertacce>
				</qvertpa>
			</vertacc>
		</posacc>
		<lineage>
			<procstep>
				<procdesc>Lidar Point Cloud Classification: The point cloud underwent a classification process to determine bare-earth points and non-ground points utilizing "first and only" as well as "last of many" lidar returns. This process determined Processed, but Unclassified (Class 1), Bare Earth Ground (Class 2), Low Noise (Class 7), Water (Class 9), Bridge Decks (Class 17), High Noise (Class 18), and Ignored Ground (Class 20). The bare-earth (Class 2 - Ground) lidar points underwent a manual QA/QC step to verify the quality of the DEM as well as a peer-based QC review. This included a review of the DEM surface to remove artifacts and ensure topographic quality. After the bare-earth surface is finalized, it is then used to generate all hydro-breaklines through a semi-automated process. All ground (Class 2) lidar data inside of the Lake Pond and Double Line Drain hydro flattening breaklines were then classified to water (Class 9) using TerraScan/LP360 macro functionality. A buffer of 2.3 feet (0.7 meters) was also used around each hydro-flattened feature to classify these ground (Class 2) points to Ignored Ground (Class 20). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (Class 2) points were reclassified to the correct classification after the automated classification was completed. All overlap data was processed through automated functionality provided by TerraScan to classify the overlapping flight line data to approved classes by USGS. The overlap data was classified using standard LAS overlap bit. These classes were created through automated processes only and were not verified for classification accuracy. Due to software limitations within TerraScan, these classes were used to trip the withheld bit within various software packages. These processes were reviewed and accepted by USGS through numerous conference calls and pilot study areas. All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper was used as a final check of the bare earth dataset. GeoCue was then used to create the deliverable industry-standard LAS files for both the point cloud dataset. Woolpert proprietary software and LP360 was used to perform final statistical analysis of the classes in the LAS files, on a per tile level to verify final classification metrics and full LAS header information.</procdesc>
				<procdate>20200629</procdate>
			</procstep>
		</lineage>
	</dataqual>
	<spdoinfo>
		<direct>Point</direct>
	</spdoinfo>
	<spref>
		<horizsys>
			<planar>
				<gridsys>
					<gridsysn>State Plane Coordinate System 1983</gridsysn>
					<spcs>
						<spcszone>3401</spcszone>
						<lambertc>
							<stdparll>40.43333333333333</stdparll>
							<stdparll>41.7</stdparll>
							<longcm>-82.5</longcm>
							<latprjo>39.66666666666666</latprjo>
							<feast>1968500.0</feast>
							<fnorth>0.0</fnorth>
						</lambertc>
					</spcs>
				</gridsys>
				<planci>
					<plance>coordinate pair</plance>
					<coordrep>
						<absres>0.01</absres>
						<ordres>0.01</ordres>
					</coordrep>
					<plandu>survey feet</plandu>
				</planci>
			</planar>
			<geodetic>
				<horizdn>North American Datum of 1983 (2011)</horizdn>
				<ellips>Geodetic Reference System 1980</ellips>
				<semiaxis>6378137.0</semiaxis>
				<denflat>298.257222101</denflat>
			</geodetic>
		</horizsys>
		<vertdef>
			<altsys>
				<altdatum>North American Vertical Datum of 1988 (GEOID12B)</altdatum>
				<altres>0.01</altres>
				<altunits>feet</altunits>
				<altenc>Explicit elevation coordinate included with horizontal coordinates</altenc>
			</altsys>
		</vertdef>
	</spref>
	<metainfo>
		<metd>20200629</metd>
		<metc>
			<cntinfo>
				<cntorgp>
					<cntorg>Woolpert</cntorg>
				</cntorgp>
				<cntaddr>
					<addrtype>mailing and physical</addrtype>
					<address>4454 Idea Center Blvd.</address>
					<city>Dayton</city>
					<state>OH</state>
					<postal>45430</postal>
					<country>USA</country>
				</cntaddr>
				<cntvoice>(937) 461-5660</cntvoice>
			</cntinfo>
		</metc>
		<metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>
		<metstdv>FGDC-STD-001-1998</metstdv>
	</metainfo>
</metadata>