20180913
16010200
1.0
ISO 19139 Metadata Implementation Specification
FALSE
CreateMosaicDataset \\WIN-NVCM7MBNNV5\ImageryServiceAll\DEM_1M_2018\DEM_1M_2018.gdb DEM_1M_2018 "PROJCS['NAD_1983_UTM_Zone_15N',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',500000.0],PARAMETER['False_Northing',0.0],PARAMETER['Central_Meridian',-93.0],PARAMETER['Scale_Factor',0.9996],PARAMETER['Latitude_Of_Origin',0.0],UNIT['Meter',1.0]];-5120900 -9998100 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision" # # NONE #
AnalyzeMosaicDataset \\WIN-NVCM7MBNNV5\ImageryServiceAll\DEM_1M_2018\DEM_1M_2018.gdb\DEM_1M_2018 # FOOTPRINT;FUNCTION;RASTER;PATHS
RemoveRastersFromMosaicDataset \\WIN-NVCM7MBNNV5\ImageryServiceAll\DEM_1M_2018\DEM_1M_2018.gdb\DEM_1M_2018 "Name like '%Ov%'" UPDATE_BOUNDARY MARK_OVERVIEW_ITEMS DELETE_OVERVIEW_IMAGES DELETE_ITEM_CACHE REMOVE_MOSAICDATASET_ITEMS UPDATE_CELL_SIZES
BuildOverviews \\WIN-NVCM7MBNNV5\ImageryServiceAll\DEM_1M_2018\DEM_1M_2018.gdb\DEM_1M_2018 # DEFINE_MISSING_TILES GENERATE_OVERVIEWS GENERATE_MISSING_IMAGES REGENERATE_STALE_IMAGES
RemoveRastersFromMosaicDataset G:\DEM_1M_2018\DEM_1M_2018.gdb\DEM_1M_2018 1=1 UPDATE_BOUNDARY MARK_OVERVIEW_ITEMS DELETE_OVERVIEW_IMAGES DELETE_ITEM_CACHE REMOVE_MOSAICDATASET_ITEMS UPDATE_CELL_SIZES
DEM_1M_2018
file://\\WIN-NVCM7MBNNV5\ImageryServiceAll\DEM_1M_2018\DEM_1M_2018.gdb
Local Area Network
349994.002597
821883.997884
3649994.004295
4070006.000100
1
002
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GCS_North_American_1983
Linear Unit: Meter (1.000000)
NAD_1983_UTM_Zone_15N
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43363.1499501389
20180919
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20180919
23012100
150000000
5000
ISO19139
Version 6.2 (Build 9200) ; Esri ArcGIS 10.5.0.6491
DEM_1M_2018
raster digital data
2018-09-18T00:00:00
1
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36.775840
32.940870
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This is Statewide seamless 1 Meter Digital Elevation Model made up of both tiles of the National Elevation Dataset (NED) and tiles delivered as a function of the original project specifications in deliverables. Data in this layer represent a bare earth surface. The National Elevation Dataset (NED) serves as the elevation layer of The National Map, and provides basic elevation information for earth science studies and mapping applications in the United States. Scientists and resource managers use NED data for global change research, hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. The NED is an elevation dataset that consists of seamless layers and non-seamless high resolution layers. Each of the seamless layers are composed of the best available raster elevation data of the conterminous United States, Alaska, Hawaii, territorial islands, Mexico and Canada. The NED is updated continually as new data become available. All NED data are in the public domain. The NED is derived from diverse source data that are processed to a common coordinate system and unit of vertical measure. The spatial reference used for tiles of the one meter layer within the conterminous United States (CONUS) is Universal Transverse Mercator (UTM) in units of meters, and in conformance with the North American Datum of 1983 (NAD83). All bare earth elevation values are in meters and are referenced to the North American Vertical Datum of 1988 (NAVD88). Each tile is distributed in the UTM Zone in which it lies. If a tile crosses two UTM Zones, it is delivered in both zones. Only source data of one meter resolution or finer are used to produce the NED standard one meter layer</SPAN></P></DIV></DIV></DIV>
USGS produced DEMs, aggregated by Arkansas GIS Office
The Arkansas GIS Office created a mosaic Digtial Elevation Model and deployed as an image service. The tiles were acquired directly from the USGS's National Map and then aggregated and exposed in an ArcGIS Server Imagery Service. Additionally the data was organized in S3 to facilatate the capability to download the DEM for the area of need to create additional derivative or analysis using elevation data collected and processed through 3DEP.
DEM
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Arkansas GIS Office