2012022116525400FALSE20131029145109002013102914510900{EBBC5ECF-5CB8-4CF6-A2DD-08FF516646B0}Camas_BE_a.imgfile://E:\LiDAR\Camas\Deliverables\Rasters\Bare_Earth\Camas_BE_a.imgLocal Area Network573333.000000589501.500000800317.499839825212.9998391002ProjectedGCS_North_American_1983Linear Unit: Foot_US (0.304801)NAD_1983_StatePlane_Idaho_East_FIPS_1101_Feet<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.1'><WKT>PROJCS["NAD_1983_StatePlane_Idaho_East_FIPS_1101_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",656166.6666666665],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-112.1666666666667],PARAMETER["Scale_Factor",0.9999473684210526],PARAMETER["Latitude_Of_Origin",41.66666666666666],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2241]]</WKT><XOrigin>-17791400</XOrigin><YOrigin>-47952400</YOrigin><XYScale>137248586.39888507</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102668</WKID><LatestWKID>2241</LatestWKID></ProjectedCoordinateSystem>32FALSERLE1IMAGINE ImageTRUEcontinuousfloating point-3.4028235e+0381.0Microsoft Windows 2000 Version 5.2 (Build 3790) Service Pack 2; ESRI ArcCatalog 9.3.1.4000enThis dataset represents the Camas National Wildlife Refuge survey area in Jefferson and Clark County, ID.
This bare earth digital elevation model (DEM) represent the earth's surface with all vegetation and human-made structures removed. The bare earth DEMs were derived from LiDAR data using TIN processing of the ground point returns. The DEM grid cell size is 1 meter. The elevation units are in meters. Some elevation values have been interpolated across areas in the ground model where there is no elevation data (e.g. over water, over dense vegetation).
Watershed Sciences, Inc. collected the LiDAR and created this data set for the US Fish and Wildlife Service.Provide high resolution terrain elevation and land cover elevation data.The dataset is projected in Idaho State Plane - East, US Survey ft.January, 2012Camas_be_a.imgCamas_be_a.imgremote-sensing imageWatershed Sciences, Inc.\\WINXP\I$\Camas\Support\DOGAMI_QAQC\new_rasters\final_versions\be\Camas_be_a.imgground condition10/19/201110/20/2011None planned-112.481102-112.41943843.93068843.862240573333.000000589501.500000800317.499839825212.999839REQUIRED: Reference to a formally registered thesaurus or a similar authoritative source of theme keywords.LiDARLight Detection and RangingDEMdigital terrain modelUS Fish and Wildlife Serviceelevation datatopographybare earthhigh-resolutionbare groundJefferson CountyClark CountyIdahoCamas National Wildlife RefugeNoneIn some areas of heavy vegetation or forest cover, there may be relatively few ground points in the LiDAR data. TINing the points produces large triangles and hence the elevations may be less accurate within such areas.
Elevation values for open water surfaces are not valid elevation values because few LiDAR points are returned from water surfaces. Triangles were created across water surfaces by interpolating from the nearest land points.Raster DatasetUS Fish & Wildlife Service Region 1David Taylor911 NE 11th Ave.PortlandOR97232USmailing address503.736.4799david_taylor@fws.govenFGDC Content Standards for Digital Geospatial MetadataFGDC-STD-001-1998local timeREQUIRED: The person responsible for the metadata information.Watershed Sciences, Inc.mailing addressCorvallisOR97333517 SW 2nd Ave.US541-752-1204watershedsciences.com20120221Downloadable Data0.0000.000US Fish & Wildlife Service Region 1David Taylor911 NE 11th Ave.PortlandOR97232US503.736.4799david_taylor@fws.govRasterPixel16597107791.5000001.500000321Upper LeftFALSERun-Length Encoding (ESRI)1pixel RGBTRUEIMAGINE ImageGCS_North_American_1983NAD_1983_StatePlane_Idaho_East_FIPS_1101_Feetrow and columnsurvey feet1.5000001.500000North American Datum of 1983Geodetic Reference System 806378137.000000298.257222Acquisition.
The LiDAR data was collected on October 19th and 20th, 2011. The survey used a Leica ALS50-II laser system mounted in a Cessna Caravan 208B. Near nadir scan angles were used to increase penetration of vegetation to ground surfaces. Ground level GPS and aircraft IMU were collected during the flight.Processing.
1. Flight lines and data were reviewed to ensure complete coverage of the study area and positional accuracy of the laser points.
2. Laser point return coordinates were computed using ALS Post Processor software, IPAS Pro GPS/INS software, and Waypoint GPS, based on independent data from the LiDAR system, IMU, and aircraft.
3. The raw LiDAR file was assembled into flight lines per return with each point having an associated x, y, and z coordinate.
4. Visual inspection of swath to swath laser point consistencies within the study area were used to perform manual refinements of system alignment.
5. Custom algorithms were designed to evaluate points between adjacent flight lines. Automated system alignment was computed based upon randomly selected swath to swath accuracy measurements that consider elevation, slope, and intensities. Specifically, refinement in the combination of system pitch, roll and yaw offset parameters optimize internal consistency.
6. Noise (e.g., pits and birds) was filtered using ALS postprocessing software, based on known elevation ranges and included the removal of any cycle slips.
7. Using TerraScan and Microstation, ground classifications utilized custom settings appropriate to the study area.
8. The corrected and filtered return points were compared to the RTK ground survey points collected to verify the vertical and horizontal accuracies.
9. Points were output as laser points, TINed and GRIDed surfaces.LiDAR flight lines have been examined to ensure that there was at least 50% sidelap, there are no gaps between flightlines, and overlapping flightlines have consistent elevation values.
Shaded relief images have been visually inspected for data errors such as pits, border artifacts, gaps, and shifting. The data was examined at a 1:2000 scale.LiDAR data has been collected and processed to the extent of the boundary shapefile provided.See LiDAR data report.RMSE = 0.082 ft.The Root Mean Square Error (RMSE) of the data set is 0.082 feet. Accuracy was assessed using 481 ground survey RTK (real time kinematic) points. Please see LiDAR data report for a discussion of statistics related to these datasets.Watershed Sciences, Inc.541-752-1204517 SW 2nd Ave.CorvallisOR97333USwatershedsciences.comArcGIS Metadata1.0David TaylorUS Fish & Wildlife Service Region 1503.736.4799911 NE 11th Ave.PortlandOR97232USdavid_taylor@fws.govRaster DatasetWatershed Sciences, Inc.Camas_BE_a.imgThis dataset represents the Camas National Wildlife Refuge survey area in Jefferson and Clark County, ID. This bare earth digital elevation model (DEM) represent the earth's surface with all vegetation and human-made structures removed. The bare earth DEMs were derived from LiDAR data using TIN processing of the ground point returns. The DEM grid cell size is 1 meter. The elevation units are in meters. Some elevation values have been interpolated across areas in the ground model where there is no elevation data (e.g. over water, over dense vegetation). Watershed Sciences, Inc. collected the LiDAR and created this data set for the US Fish and Wildlife Service.Provide high resolution terrain elevation and land cover elevation data.David TaylorUS Fish & Wildlife Service Region 1503.736.4799911 NE 11th Ave.PortlandOR97232USdavid_taylor@fws.govClark CountyIdahoCamas National Wildlife RefugeJefferson CountyLiDARbare earthdigital terrain modelbare groundLight Detection and RangingUS Fish and Wildlife Serviceelevation datatopographyhigh-resolutionDEMLiDARbare earthClark Countydigital terrain modelIdahobare groundLight Detection and RangingCamas National Wildlife RefugeUS Fish and Wildlife Serviceelevation datatopographyJefferson Countyhigh-resolutionDEMIn some areas of heavy vegetation or forest cover, there may be relatively few ground points in the LiDAR data. TINing the points produces large triangles and hence the elevations may be less accurate within such areas. Elevation values for open water surfaces are not valid elevation values because few LiDAR points are returned from water surfaces. Triangles were created across water surfaces by interpolating from the nearest land points.ground conditionThe dataset is projected in Idaho State Plane - East, US Survey ft.Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.1.1.31431-112.481102-112.41943843.93068843.862240LiDAR flight lines have been examined to ensure that there was at least 50% sidelap, there are no gaps between flightlines, and overlapping flightlines have consistent elevation values. Shaded relief images have been visually inspected for data errors such as pits, border artifacts, gaps, and shifting. The data was examined at a 1:2000 scale.LiDAR data has been collected and processed to the extent of the boundary shapefile provided.See LiDAR data report.The Root Mean Square Error (RMSE) of the data set is 0.082 feet. Accuracy was assessed using 481 ground survey RTK (real time kinematic) points. Please see LiDAR data report for a discussion of statistics related to these datasets.RMSE = 0.082 ft.Processing. 1. Flight lines and data were reviewed to ensure complete coverage of the study area and positional accuracy of the laser points. 2. Laser point return coordinates were computed using ALS Post Processor software, IPAS Pro GPS/INS software, and Waypoint GPS, based on independent data from the LiDAR system, IMU, and aircraft. 3. The raw LiDAR file was assembled into flight lines per return with each point having an associated x, y, and z coordinate. 4. Visual inspection of swath to swath laser point consistencies within the study area were used to perform manual refinements of system alignment. 5. Custom algorithms were designed to evaluate points between adjacent flight lines. Automated system alignment was computed based upon randomly selected swath to swath accuracy measurements that consider elevation, slope, and intensities. Specifically, refinement in the combination of system pitch, roll and yaw offset parameters optimize internal consistency. 6. Noise (e.g., pits and birds) was filtered using ALS postprocessing software, based on known elevation ranges and included the removal of any cycle slips. 7. Using TerraScan and Microstation, ground classifications utilized custom settings appropriate to the study area. 8. The corrected and filtered return points were compared to the RTK ground survey points collected to verify the vertical and horizontal accuracies. 9. Points were output as laser points, TINed and GRIDed surfaces.Acquisition. The LiDAR data was collected on October 19th and 20th, 2011. The survey used a Leica ALS50-II laser system mounted in a Cessna Caravan 208B. Near nadir scan angles were used to increase penetration of vegetation to ground surfaces. Ground level GPS and aircraft IMU were collected during the flight.original metadataPD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0idXRmLTgiPz4NCjxtZXRhZGF0YSB4bWw6bGFu
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