20240224
21591600
1.0
ISO 19139 Metadata Implementation Specification
FALSE
ContourLines
6311266.266123
6340018.617083
1847975.671159
1874102.034261
1
002
0.000
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_California_VI_FIPS_0406_Feet
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20210824
09294200
20210824
09294200
RGDW_Publication
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Ryan Elizabeth Bowe, GISP
Photo Science, A Quantum Spatial Company
859-277-8700
859-277-8901
523 Wellington Way
Lexington
KY
40503
US
rebowe@quantumspatial.com
Monday through Friday 8:00 AM to 5:00 PM (Eastern Time)
If unable to reach the contact by telephone, please send an email. You should get a response within 24 hours.
ArcGIS Metadata
1.0
DataLibrarian
SanGIS
DataLibrarian
5510 Overland Ave.
San Diego
CA
92123
webmaster@sangis.org
US
858-874-7000
858-874-7002
Monday to Friday; 8:00am--4:00pm
DataLibrarian
DataLibrarian
Refer to SanGIS website (http://www.sangis.org/services/index.html) to obtain further information on mapping and data extraction services available from SanGIS.
0.000
Feature Class
2015-11-30T00:00:00
2015-11-16T00:00:00
Photo Science, A Quantum Spatial Company
vector digital data
vector digital data
ContourLines
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This feature class is a subset of a larger 2014 2ft topographical dataset that was created at SanGIS. This feature class covers the Poway and La Mesa area approximately. The dataset was created by clipping the larger topographical dataset to the Poway La Mesa Grid cell of the SanGIS Topographical Index (GRID_2014_2Ft_Topo_Index layer).</SPAN></P><P><SPAN>The larger topographical dataset was created by merging all of the raw, individual two foot contour tiles provided by Photo Science. The Z and M data provided in the raw, individual tiles was removed to allow the Dissolve tool to be run. The feature class was then Dissolved by Elevation and LType (no multipart features, and "Unsplit lines" selected). The XY Tolerance was set at the default (0.00328083 ft), so some of the line segments that were closer than this tolerance snapped together and created an overhanging line segment. In order to get rid of these very small lines, any remaining individual lines less than 1" (0.08333 ft) were removed from the data.</SPAN></P><P><SPAN>Dataset Description: San Diego, California 2014 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 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LIDAR Specification, Version 1. The data was developed based on a horizontal projection/datum of NAD83, State Plane California VI, Survey Feet and vertical datum of NAVD1988 (GEOID12A), Survey Feet. LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.2 Files formatted to 1565 individual 5000 ft x 5000 ft tiles, and corresponding Intensity Images and Bare Earth DEMs tiled to the same 5000 ft x 5000 ft schema, and Breaklines in Esri geodatabase format. </SPAN></P><P><SPAN>Ground Conditions: LiDAR was collected in late 2014 and early 2015, 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, Photo Science established a total of 88 QA calibration control points and 80 Land Cover control points that were used to calibrate the LIDAR to known ground locations established throughout the San Diego, California project area.</SPAN></P><P><SPAN>Photo Science used classified LAS files to show the manually reviewed bare earth surface. This allowed the user to create Intensity Images, Breaklines and Raster DEM. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) 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, hydro-flattened DEMs as necessary. This resulting data was used to create the raw, individual two foot contour tiles.</SPAN></P></DIV></DIV></DIV>
This feature class is a subset of a larger 2014 2ft topographical dataset that was created at SanGIS by merging all of the raw, individual two foot contour tiles provided by Photo Science. This feature class covers the Poway and La Mesa area approximately.
SanGIS, Photo Science, A Quantum Spatial Company flew the LiDAR and processed the data.
DataLibrarian
SanGIS
DataLibrarian
5510 Overland Ave.
San Diego
CA
92123
webmaster@sangis.org
US
858-874-7000
858-874-7002
Monday to Friday; 8:00am--4:00pm
DataLibrarian
Poway, La Mesa, Santee, Miramar, San Diego City, San Diego County, California
Elevation Data, Hydrology, Remote Sensing, Two foot contours, Elevation data
Two foot contours
Elevation data
Poway
La Mesa
Santee
Miramar
San Diego City
San Diego County
California
Hydrology
Remote sensing
No restrictions apply to these data.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>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 it's limitations. Acknowledgement of the U.S. Geological Survey would be appreciated for products derived from these data.</SPAN></P><P><SPAN>Data is generalized and created for use in regional projects. Please refer to SanGIS GIS data end user use agreement and disclaimer which is available at the following: http://www.sangis.org/Legal_Notice.htm.</SPAN></P></DIV></DIV></DIV>
ground condition
2014-10-27T00:00:00
2015-02-17T00:00:00
USGS Contract No. G10PC00026 CONTRACTOR: Photo Science, Inc. Ground Control Points were acquired and calibrated by Photo Science, A Quantum Spatial Company All Lidar data acquisition, calibration, and follow-on processing were completed by Aerographics.
DataLibrarian
SanGIS
DataLibrarian
5510 Overland Ave.
San Diego
CA
92123
webmaster@sangis.org
US
858-874-7000
858-874-7002
Monday to Friday; 8:00am--4:00pm
Ryan Elizabeth Bowe, GISP
Photo Science, A Quantum Spatial Company
859-277-8700
859-277-8901
523 Wellington Way
Lexington
KY
40503
US
rebowe@quantumspatial.com
Monday through Friday 8:00 AM to 5:00 PM (Eastern Time)
If unable to reach the contact by telephone, please send an email. You should get a response within 24 hours.
Ryan Elizabeth Bowe, GISP
Ryan Griffin
Photo Science, A Quantum Spatial Company
859-277-8700
859-277-8901
523 Wellington Way
Lexington
KY
40503
US
rgriffin@quantumspatial.com
Monday through Friday 8:00 AM to 5:00 PM (Eastern Time)
If unable to reach the contact by telephone, please send an email. You should get a response within 24 hours.
Ryan Griffin
Version 6.2 (Build 9200) ; Esri ArcGIS 10.3.0.4322
1
-117.064923
-116.970765
32.806810
32.734424
None.
NONE
Classified LAS files were tested by Photo Science for both vertical and horizontal accuracy. All data is seamless from one tile to the next, no gaps or no data areas.
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 Fundamental Vertical Accuracy specifications.
The specifications require that only Fundamental Vertical Accuracy (FVA) be computed for raw lidar point cloud swath files. The vertical accuracy value is the AccuracyZ at 95 percent Confidence Interval in feet. The FVA was tested using 19 independent survey check points located in open terrain. The survey checkpoints were distributed throughout the project area. The 19 independent check points 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. AccuracyZ has been tested to meet 18.13 cm Fundamental Vertical Accuracy at 95 Percent 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.
The FVA was tested using 19 independent survey check points located in open terrain. The survey checkpoints were distributed throughout the project area. The 19 independent check points 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. The RMSE was computed to be 0.382 feet. AccuracyZ has been tested to meet 18.13 cm Fundamental Vertical Accuracy at 95 Percent 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.
0.116
This data source was used (along with the airborne GPS/IMU Data) to aid in the georeferencing of the lidar point cloud data.
Control Survey Report: San Diego, CA. Ortho and Lidar Task Order
CA_SanDiego_2014_LiDAR_ctrl
2015-04-15
Photo Science, A Quantum Spatial Company
Photo Science, A Quantum Spatial Company
Lexington, KY
vector digital data and tabular data
ground condition
2015-01-01
This data source was used to populate the lidar point cloud data.
Lidar RAW Data for San Diego 2014
CA_SanDiego_2014_LiDAR_Data
2015-01-01
2015
Photo Science, A Quantum Spatial Company
Photo Science, A Quantum Spatial Company
lidar data
ground condition
2014-10-27
2015-02-17
Contour Generation Process: Using automated scripting routines within ArcMap, a terrain surface was created using the ground (ASPRS Class 2) LiDAR data as well as the hydro-flattening breaklines. This surface was then used to generate the final 2 foot contour dataset in ESRI GeoDatabase format.
2015-01-01
Ryan Griffin
Photo Science, A Quantum Spatial Company
859-277-8700
859-277-8901
523 Wellington Way
Lexington
KY
40503
US
rgriffin@quantumspatial.com
Monday through Friday 8:00 AM to 5:00 PM (Eastern Time)
If unable to reach the contact by telephone, please send an email. You should get a response within 24 hours.
CA_SanDiego_2014_LiDAR_Data
CA_SanDiego_2014_LiDAR_ctrl
Contours
ContourLines
A line in a surface that represents a distinct interruption in the slope of a surface, such as a ridge, road, or stream.
Esri GIS Dictionary http://support.esri.com/en/knowledgebase/GISDictionary/term/breakline
Feature Class
19127
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Feature geometry.
Esri
Feature geometry - PolylineZM
Shape
Geometry
4
0
0
Elev
ELEV
Double
8
38
8
Elevation in feet.
SanGIS
LType
LTYPE
SmallInteger
2
5
0
Indexes contour lines by 20 ft intervals.
1 = A contour line divisible by 20. For example: 0, 20, 40, 60, etc.
2 = All other contour lines.
SanGIS
INDEX_
INDEX_
SmallInteger
2
5
0
Represents the contour interval each line belongs to.
2 = A contour line not belonging to any of the below designations.
10 = Contour lines representing 10' elevation change starting at 0. For example: 0, 10, 20, 30, etc.
20 = Contour lines representing 20' elevation change starting at 20.
50 = Contour lines representing 50' elevation change starting at 50.
100 = Contour lines representing 100' elevation change starting at 100.
200 = Contour lines representing 200' elevation change starting at 200.
500 = Contour lines representing 500' elevation change starting at 500.
For example, to show only 50' increments (50, 100, 150, 200, etc.): add definition querry "INDEX <> 2 AND INDEX <> 10 AND INDEX <> 20"
Or, to show all increments by 10' add definition querry "INDEX <> 2"
SanGIS
Shape_Leng
Shape_Leng
Double
8
38
8
Shape.STLength()
Shape.STLength()
Double
0
0
0
Breaklines with the types of Lake Pond, Lake Pond Island, Double Line Drain, Double Line Drain Island, and Ocean Shoreline.
More detail about the attributes of this data set can be found in LAS 1.3 specifications and USGS LiDAR Base Specification Version 1.0.
dataset
EPSG
8.2.6
19127
Simple
FALSE
19127
TRUE
FALSE
20210824