20150922
10324500
1.0
ISO 19139 Metadata Implementation Specification
FALSE
002
GEO_suss_thick
-8429419.127300
-8354389.127300
4643339.329600
4716209.329600
1
file://\\DTIFS01\users\Kim.Cloud\My Documents\ArcGIS\Depth_to_Water\p20\fm2_test_fmentert_firstmap_viewer.gdb
Local Area Network
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_Web_Mercator_Auxiliary_Sphere
<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/2.7.0'><WKT>PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>148923141.92838538</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
Rename \\Dtifs01\apd\GIS\current\DepthToWater.gdb\GEO_suss_thick \\Dtifs01\apd\GIS\current\DepthToWater.gdb\GEO_SUSS_THICKuss_thick RasterDataset
Rename \\Dtifs01\apd\GIS\current\DepthToWater.gdb\GEO_SUSS_THICKuss_thick \\Dtifs01\apd\GIS\current\DepthToWater.gdb\GEO_SUSS_THICK RasterDataset
20210225
15334900
20210225
15334900
150000000
5000
ISO19139
Delaware Geological Survey
(302)-831-2833
University of Delaware Delaware Geological Survey Building
Newark
DE
19716
ArcGIS Metadata
1.0
(302)-831-2833
University of Delaware Delaware Geological Survey Building
Newark
DE
19716
http://www.udel.edu/dgs
File Geodatabase Raster Dataset
DGS_UnconfinedAquifer_Thick
2006-01-01
Klingbeil, A. D., and Andres, A. S.
Delaware Geological Survey
raster digital data
<div style='text-align:Left;'><div><div><p><span>This digital product contains gridded estimates of the thickness of the unconfined portion of the Columbia aquifer for Sussex County, Delaware. Mapping was supported by the Delaware Department of Natural Resources and Environmental Control and the Delaware Geological Survey. These grids were produced with the methods described in Andres and Klingbeil (2006). Additional analyses of the hydrogeologic framework and grids are also contained in that report. Briefly, the method to determine the thickness of the aquifer includes assessing the thickness of subsurface materials in descriptive and geophysical logs and using computer-based interpolation to estimate thickness across the study area. Separate grids were determined for eastern and western Sussex County and were merged and smoothed to minimize edge effects. The Thickness grids has 30-m horizontal and 1-ft vertical resolutions. REFERENCES CITED Andres, A. S., and Klingbeil, A. D., 2006, Thickness and transmissivity of the unconfined aquifer, eastern Sussex County, Delaware: Delaware Geological Survey Report of Investigations No. 70, 19 p., 1 plate.</span></p></div></div></div>
The dataset was developed to support hydrogeologic research, water resources evaluation, and policy and regulatory decisions for the State of Delaware.
(302)-831-2833
University of Delaware Delaware Geological Survey Building
Newark
DE
19716
Mon - Fri; 8:00am to 4:30pm
Delaware Sussex County Bethany Beach Bethel Blades Bridgeville Dagsboro Delmar Ellendale Fenwick Island Frankford Georgetown Greenwood Henlopen Acres Laurel Lewes Milford Millsboro Millville Milton Ocean View Rehoboth Beach Seaford Selbyville Slaughter Beach South Bethany
transmissivity
geoscientificInformation
water table
ground water
aquifer
transmissivity
geoscientificInformation
water table
ground water
Delaware Sussex County Bethany Beach Bethel Blades Bridgeville Dagsboro Delmar Ellendale Fenwick Island Frankford Georgetown Greenwood Henlopen Acres Laurel Lewes Milford Millsboro Millville Milton Ocean View Rehoboth Beach Seaford Selbyville Slaughter Beach South Bethany
aquifer
<div style='text-align:Left;'><div><div><p><span>The Delaware Geological Survey (DGS) is constantly gathering data from multiple sources, interpreting data, and reflecting its interpretations in a variety of data formats. DGS's interpretations are conceptualized in these grids of Depth to Water for Sussex County, DE. The water table is a continuous surface; however, observations of the surface exist at irregularly spaced locations. In this instance, regularly spaced grids of water-table elevations were estimated from site-specific observational data and are the model used to represent the water-table surface. Reasonable efforts have been made by the DGS to verify that the digital data provided herein accurately interpret the source data used in its preparation. These are estimated surfaces and they may be inappropriate for some applications. Detailed site-specific investigation may be required for evaluating individual sites. Persons wishing to apply the data in these grids to more detailed scales are encouraged to contact the DGS office for advisement. Nothing contained herein shall be deemed an expressed or implied waiver of the sovereign immunity of the State of Delaware or its duly authorized representatives, agents, or employees.</span></p></div></div></div>
publication date
2006-01-01
Microsoft Windows 8 Version 6.2 (Build 9200) ; Esri ArcGIS 12.7.0.26828
1
-75.722760
-75.048754
38.961857
38.451035
30-meter resolution based on the grid cell.
The raster cell represents thickness of the unconfined aquifer in feet.
+/- 5 feet
VAT_suss_thick1
Table
242
Thickness of unconfined aquifer in feet
ObjectID
OBJECTID
OID
4
0
0
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
Value
Value
Integer
4
0
0
Thickness in feet
+/- 5 feet
Count
Count
Double
8
0
0
Number of raster cells
dataset
EPSG
6.18.3(9.3.1.2)
Pixel
2429
2501
30.000000
30.000000
32
1
Upper Left
FALSE
LZ77
1
pixel codes
FGDBR
TRUE
row and column
30.000000
30.000000
20210225
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