LiDAR_BennCty_2012

Metadata also available as

Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Northrop Grumman, Advanced GEOINT Solutions Operating Unit
Publication_Date: 20131112
Publication_Time: unknown
Title: LiDAR_BennCty_2012
Edition: 2013A
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:
Series_Name: short description
Issue_Identification: 2013
Publication_Information:
Publication_Place: Waterbury VT 05676
Publisher: VT Center for Geographic Information
Other_Citation_Details: Tile Structure - NONE
Online_Linkage:
Online_Linkage <http://vcgi.vermont.gov/warehouse/?layer=ElevationDEM_DEM1p4M&mapit=yes> Online_Linkage Publication_Information
Larger_Work_Citation:
Citation_Information:
Originator: Northrop Grumman, Advanced GEOINT Solutions Operating Unit
Publication_Date: 20120910
Publication_Time: Unknown
Title: Hudson-Hoosic LiDAR
Geospatial_Data_Presentation_Form: vector digital data
Publication_Information:
Publication_Place: Huntsville, AL
Publisher: Northrop Grumman, Advanced GEOINT Solutions Operating Unit
Description:
Abstract:
The Light Detection and Ranging (LiDAR) dataset is a survey of the Hudson-Hoosic project area. The entire survey area for Hudson-Hoosic encompasses approximately 2,895 square miles. The LiDAR point cloud was flown at a nominal post spacing of 2.0 meters for unobscured areas. The LiDAR data and derivative products produced are in compliance with the U.S. Geological Survey National Geospatial Program LiDAR Guidelines and Base Specifications, Version 13-ILMF 2010. The flight lines were acquired by Northrop Grumman, Advanced GEOINT Solutions Operating Unit, which required twenty-four missions between March 20, 2012 and April 30, 2012. Derivative products from the aerial acquisition include: high accuracy multiple return LiDAR data, both raw and separated into several classes, along with hydro flattening breaklines, bare earth DEM tiles, control points, and FGDC compliant XML metadata.
Purpose:
The purpose of this project was to produce a high resolution LiDAR data set of approximately 2,895 square miles over a single watershed (Hudson-Hoosic) in New York.
Time_Period_of_Content:
Time_Period_Information:
Multiple_Dates/Times:
Single_Date/Time:
Calendar_Date: 20120320
Time_of_Day: unknown
Single_Date/Time:
Calendar_Date: 20120321
Time_of_Day: unknown
Single_Date/Time:
Calendar_Date: 20120327
Time_of_Day: unknown
Single_Date/Time:
Calendar_Date: 20120330
Time_of_Day: unknown
Single_Date/Time:
Calendar_Date: 20120402
Time_of_Day: unknown
Single_Date/Time:
Calendar_Date: 20120403
Time_of_Day: unknown
Single_Date/Time:
Calendar_Date: 20120406
Time_of_Day: unknown
Single_Date/Time:
Calendar_Date: 20120407
Time_of_Day: unknown
Single_Date/Time:
Calendar_Date: 20120413
Time_of_Day: unknown
Single_Date/Time:
Calendar_Date: 20120414
Time_of_Day: unknown
Single_Date/Time:
Calendar_Date: 20120417
Time_of_Day: unknown
Single_Date/Time:
Calendar_Date: 20120418
Time_of_Day: unknown
Single_Date/Time:
Calendar_Date: 20120419
Time_of_Day: unknown
Single_Date/Time:
Calendar_Date: 20120420
Time_of_Day: unknown
Single_Date/Time:
Calendar_Date: 20120429
Time_of_Day: unknown
Single_Date/Time:
Calendar_Date: 20120430
Time_of_Day: unknown
Currentness_Reference: ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: Unknown
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -73.454162
East_Bounding_Coordinate: -71.465281
North_Bounding_Coordinate: 45.018361
South_Bounding_Coordinate: 42.722789
Keywords:
Theme:
Theme_Keyword_Thesaurus: Light Detection and Ranging
Theme_Keyword: Elevation
Place:
Place_Keyword_Thesaurus: Site Location
Place_Keyword: Hudson-Hoosic
Place:
Place_Keyword_Thesaurus: Site Location
Place_Keyword: Bennington County, VT
Place:
Place_Keyword_Thesaurus: Country
Place_Keyword: United States
Stratum:
Stratum_Keyword_Thesaurus: none
Stratum_Keyword: Northrop Grumman, Advanced GEOINT Solutions Operating Unit
Temporal:
Temporal_Keyword_Thesaurus: Season
Temporal_Keyword: Spring
Place:
Place_Keyword_Thesaurus: County
Place_Keyword: Bennington
Place_Keyword: Windham
Place_Keyword: Rutland
Temporal:
Temporal_Keyword_Thesaurus: Year
Temporal_Keyword: 2012
Access_Constraints:
VCGI and the State of VT make no representations of any kind, including but not limited to the warranties of merchantability or fitness for a particular use, nor are any such warranties to be implied with respect to the data.
Use_Constraints: None.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: VT Center for Geographic Information
Contact_Address:
Address_Type: Mailing and Physical Address
Address: 58 South Main Street, Suite 2
City: Waterbury
State_or_Province: VT
Postal_Code: 05676
Country: USA
Contact_Voice_Telephone: 802/882-3000
Contact_TDD/TTY_Telephone: None
Contact_Facsimile_Telephone: 802/882-3001
Contact_Electronic_Mail_Address: info@vcgi.org
Hours_of_Service: 9am - 5pm, M-F
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Northrop Grumman, Advanced GEOINT Solutions Operating Unit
Contact_Person: Carlos A. Prieto
Contact_Position: Project Manager
Contact_Address:
Address_Type: mailing and physical address
Address: 301 Voyager Way
City: Huntsville
State_or_Province: AL
Postal_Code: 35806
Country: USA
Contact_Voice_Telephone: (310) 297-5704
Contact_Electronic_Mail_Address: Carlos.Prieto@ngc.com
Hours_of_Service: 8:00 - 5:00
Data_Set_Credit: Northrop Grumman, Advanced GEOINT Solutions Operating Unit
Security_Information:
Security_Classification_System: Unclassified
Security_Classification: Unclassified
Security_Handling_Description: Information Unclassified
Native_Data_Set_Environment:
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.1.3000
Data_Quality_Information:
Logical_Consistency_Report:
The GPS survey was tied into the local NYSNet Realtime Network located in NEW York, and Vermont, and the KEYNet Realtime Network located in the Northeast covering Massachusetts. These networks are networks of continuously operating GPS reference stations that allows for Realtime Kinematic (RTK) capabilities within a realtime network (RTN). This allows for corrections to be applied to the points as they are being collected, eliminating the need for an adjustment. As a quality control measure several check-in points consisting of NSRS published horizontal and vertical control points were used as checks within the real-time networks used. The survey crew checked into these published points daily to validate the consistency of the network. The NSRS published points also confirm that the project will meet the 5cm local network accuracy at the 95% confidence level. Data analysis was accomplished by comparing ground truth checkpoints with LiDAR points from the derived DEM and reported three ways 1. FVA 2. SVA 3. CVA. Additionally the FVA points were assessed against the TIN derived from the LAS LiDAR point cloud controlled and calibrated swath data to ensure they met the required accuracy of 12.5cm RMSEz and 24.5cm at the 95% confidence interval.
Completeness_Report:
Ground Truth data was collected of the three major land cover classes representing 10% of the predominate vegetation dispersed within the area of interest. 30 points were collected in each of the three predominate vegetation classes bare earth, tall weeds crops, and fully forested, points collected in the trees vegetation class were collected with a Total Station. Pair of points was surveyed using the local NGS CORS network once completed the total station is used to collect the forested vegetation class. A total station was used to collect all the shots collected in the forested vegetation class, due to the limited GPS signal when working in and around tree canopy.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
There is not a systematic method of testing when testing horizontal accuracy in LiDAR. However this is tested during calibration of the sensor and is rechecked during the comparing of parallel and perpendicular flight lines. Additionally the horizontal accuracy is checked by collecting building corners during the survey. Lines are then digitized representing the building outline and the differences are measure from each individual survey point to the corner of the building outline. Stats are calculated to ensure horizontal tolerances are met. These measurements resulted in an RMSEr of .21 meters and equals a RMSE accuracy of .36 meter horizontal accuracy at the 95 % confidence level. Accuracy defined by NSSDA at the 95 % confidence level would be multiplier by 1.7308 times the RMSE.
Quantitative_Horizontal_Positional_Accuracy_Assessment:
Horizontal_Positional_Accuracy_Value: 0.36 meters
Horizontal_Positional_Accuracy_Explanation:
Value represent horizontal accuracy assessment at the 95% confidence interval.
Vertical_Positional_Accuracy:
Vertical_Positional_Accuracy_Report:
The accuracy assessment was performed using the NSSDA standard method to compute the root mean square error (RMSE) based on a comparison of ground control points (GCP) and DEM derived from the LiDAR dataset. Testing was performed prior to gridding of the filtered LiDAR data points and construction of the 32-bit ESRI float grid format bare earth tiles. The RMSEz figure was used to compute the vertical National Standard for Spatial Data Accuracy (NSSDA). A spatial proximity analysis was used to select edited LiDAR data points contiguous to the relevant GCPs. A search radius decision rule is applied with consideration of terrain complexity, cumulative error and adequate sample size. Cumulative error results from the errors inherent in the various sources of horizontal measurement. These sources include the airborne GPS, GCPs and the uncertainty of the accuracy of the LiDAR data points. This accuracy is achieved prior to the subsampling that occurs through integration with the inertial measurement unit (IMU) positions that are recorded. It is unclear at this time whether the initial accuracy is maintained. The horizontal accuracy of the GCPs is estimated to be in the range of approximately .03 to .04 meters. Finally, sample size was considered. The specification for the National Standard for Spatial Data Accuracy is a minimum of 20 points to conduct a statistically significant accuracy evaluation which provides a reasonable approximation of a normal distribution. The intent of the NSSDA is to reflect the geographic area of interest and the distribution of error in the data set (Federal Geographic Data Committee, 1998, Geospatial National Standard for Spatial Data Accuracy, Federal Geographic Data Committee Secretariat, Reston, Virginia, p.3-4). Additional steps were taken to ensure the vertical accuracy of the LiDAR data including: Step 1: Precision Bore sighting (Check Edge-matching) Step 2: Compare the LiDAR data to the Field Survey (The vertical accuracy requirements meet or exceed the required RMSEz of 12.5cm and the vertical accuracy of 24.5cm at the 95% confidence level). Data collected under this task order exceeds the required National Standards for Spatial Database Accuracy (NSSDA) accuracy standards. SVA accuracies at the 95th Percentile collected and tested, as target accuracies results as follows: Tall Weeds Crops =0.22 meters, Fully Forested = 0.40 meters. Consolidated Vertical Accuracies (CVA) at the 95th Percentile =0.25 meters. Final accuracy statement for this task order is as follows; FVA Tested 0.15 meters vertical accuracy at the 95% confidence level.
Quantitative_Vertical_Positional_Accuracy_Assessment:
Vertical_Positional_Accuracy_Value: 0.15 meters
Vertical_Positional_Accuracy_Explanation:
Value represents the Fundamental Vertical Accuracy (FVA) assessment at the 95% confidence interval. This represents the FVA checkpoints compared against the derived DEM at the 95% confidence interval.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: Northrop Grumman, Advanced GEOINT Solutions Operating Unit
Publication_Date: 20120910
Publication_Time: Unknown
Title: Hudson-Hoosic LiDAR
Geospatial_Data_Presentation_Form: vector digital data
Source_Scale_Denominator: 24000
Type_of_Source_Media: disc
Source_Time_Period_of_Content:
Time_Period_Information:
Multiple_Dates/Times:
Single_Date/Time:
Calendar_Date: 20120320
Time_of_Day: unknown
Single_Date/Time:
Calendar_Date: 20120321
Time_of_Day: unknown
Single_Date/Time:
Calendar_Date: 20120327
Time_of_Day: unknown
Single_Date/Time:
Calendar_Date: 20120330
Time_of_Day: unknown
Single_Date/Time:
Calendar_Date: 20120402
Time_of_Day: unknown
Single_Date/Time:
Calendar_Date: 20120403
Time_of_Day: unknown
Single_Date/Time:
Calendar_Date: 20120406
Time_of_Day: unknown
Single_Date/Time:
Calendar_Date: 20120407
Time_of_Day: unknown
Single_Date/Time:
Calendar_Date: 20120413
Time_of_Day: unknown
Single_Date/Time:
Calendar_Date: 20120414
Time_of_Day: unknown
Single_Date/Time:
Calendar_Date: 20120417
Time_of_Day: unknown
Single_Date/Time:
Calendar_Date: 20120418
Time_of_Day: unknown
Single_Date/Time:
Calendar_Date: 20120419
Time_of_Day: unknown
Single_Date/Time:
Calendar_Date: 20120420
Time_of_Day: unknown
Single_Date/Time:
Calendar_Date: 20120429
Time_of_Day: unknown
Single_Date/Time:
Calendar_Date: 20120430
Time_of_Day: unknown
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: DEM
Source_Contribution:
The Hudson_Hoosic/Bennington County LiDAR Survey was acquired and processed for the USGS/FEMA by the Northrop Grumman, Advanced GEOINT Solutions Operating Unit.
Process_Step:
Process_Description:
The ABGPS, inertial measurement unit (IMU), and raw scans are collected during the LiDAR aerial survey. The ABGPS monitors the xyz position of the sensor and the IMU monitors the orientation. During the aerial survey, laser pulses reflected from features on the ground surface are detected by the receiver optics and collected by the data logger. GPS locations are based on data collected by receivers on the aircraft and base stations on the ground. The ground base stations are placed no more than 40 km radius from the flight survey area.
Source_Used_Citation_Abbreviation: Optech ALTM213 airborne LiDAR sensor
Source_Used_Citation_Abbreviation: Airborne Global Positioning System
Source_Used_Citation_Abbreviation: Inertial Measuring Unit
Source_Used_Citation_Abbreviation: Global Positioning System
Process_Date: 20120430
Source_Produced_Citation_Abbreviation: LiDAR scan files
Source_Produced_Citation_Abbreviation: LiDAR scans, GPS data
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Northrop Grumman, Advanced GEOINT Solutions Operating Unit
Contact_Person: Carlos A. Prieto
Contact_Position: Project Manager
Contact_Address:
Address_Type: mailing and physical address
Address: 301 Voyager Way
City: Huntsville
State_or_Province: AL
Postal_Code: 35806
Country: USA
Contact_Voice_Telephone: (310) 297-5704
Contact_Electronic_Mail_Address: Carlos.Prieto@ngc.com
Hours_of_Service: 8:00 - 5:00
Process_Step:
Process_Description:
The ABGPS, IMU, and raw scans are integrated using proprietary software developed by Optech and delivered with the Optech System. The resultant file is in a LAS binary file format. The LAS version 1.2 file format can be easily transferred from one file format to another. It is a binary file format that maintains information specific to the LiDAR data (return number, intensity value, xyz, etc.). The resultant points are produced in the NAD83/2007 UTM 18 North Coordinate System, with units in Meters and referenced to the NAVD88 datum. The LiDAR mass points were processed in American Society for Photogrammetry and Remote Sensing LAS 1.2 format. The header file for each dataset is complete as defined by the LAS 1.2 specification. The datasets were divided into a 1500 meter by 1500 meter tiling scheme. The tiles are contiguous, do not overlap, and are suitable for seamless topographic data mosaics that include no "no data" areas. The names of the tiles include numeric column and row designations and all files utilize the LAS file extension
Source_Used_Citation_Abbreviation: Airborne Global Positioning System data
Source_Used_Citation_Abbreviation: Inertial Measurement Unit
Source_Used_Citation_Abbreviation: LiDAR scans
Process_Date: 20120605
Source_Produced_Citation_Abbreviation: LiDAR point cloud data sets LAS 1.2 file format
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Northrop Grumman, Advanced GEOINT Solutions Operating Unit
Contact_Person: Carlos A. Prieto
Contact_Position: Project Manager
Contact_Address:
Address_Type: mailing and physical address
Address: 301 Voyager Way
City: Huntsville
State_or_Province: AL
Postal_Code: 35806
Country: USA
Contact_Voice_Telephone: (310) 297-5704
Contact_Electronic_Mail_Address: Carlos.Prieto@ngc.com
Hours_of_Service: 8:00 - 5:00
Process_Step:
Process_Description:
The unedited data are classified to facilitate the application of the appropriate feature extraction filters. A combination of proprietary filters are applied as appropriate for the production of bare earth digital elevation models (DEMs). Interactive editing methods are applied to those areas where it is inappropriate or impossible to use the feature extraction filters, based upon the design criteria and/or limitations of the relevant filters. These same feature extraction filters are used to produce elevation height surfaces.
Source_Used_Citation_Abbreviation: LAS 1.2 format
Process_Date: 20120619
Source_Produced_Citation_Abbreviation: Filtered LiDAR data set LAS 1.2 format
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Northrop Grumman, Advanced GEOINT Solutions Operating Unit
Contact_Person: Carlos A. Prieto
Contact_Position: Project Manager
Contact_Address:
Address_Type: mailing and physical address
Address: 301 Voyager Way
City: Huntsville
State_or_Province: AL
Postal_Code: 35806
Country: USA
Contact_Voice_Telephone: (310) 297-5704
Contact_Electronic_Mail_Address: Carlos.Prieto@ngc.com
Hours_of_Service: 8:00 - 5:00
Process_Step:
Process_Description:
Filtered and edited data are subjected to rigorous QA/QC, according to the Northrop Grumman, Advanced GEOINT Solutions Operating Unit Quality Control Plan and Procedures. A series of quantitative and visual procedures are employed to validate the accuracy and consistency of the filtered and edited data. Ground control is established by Northrop Grumman, Advanced GEOINT Solutions Operating Unit and GPS-derived ground control points (GCPs) in various areas of dominant and prescribed land cover. These points are coded according to land cover, surface material, and ground control suitability. A suitable number of points are selected for calculation of a statistically significant accuracy assessment, as per the requirements of the National Standard for Spatial Data Accuracy. A spatial proximity analysis is used to select edited LiDAR data points within a specified distance of the relevant GCPs. A search radius decision rule is applied with consideration of terrain complexity, cumulative error, and adequate sample size. Accuracy validation and evaluation is accomplished using proprietary software to apply relevant statistical routines for calculation of Root Mean Square Error (RMSE) and the National Standard for Spatial Data Accuracy (NSSDA), according to Federal Geographic Data Committee (FGDC) specifications.
Source_Used_Citation_Abbreviation: Filtered LiDAR 1.2 data
Process_Date: 20120827
Source_Produced_Citation_Abbreviation: Quality verified bare earth data set
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Northrop Grumman, Advanced GEOINT Solutions Operating Unit
Contact_Person: Carlos A. Prieto
Contact_Position: Project Manager
Contact_Address:
Address_Type: mailing and physical address
Address: 301 Voyager Way
City: Huntsville
State_or_Province: AL
Postal_Code: 35806
Country: USA
Contact_Voice_Telephone: (310) 297-5704
Contact_Electronic_Mail_Address: Carlos.Prieto@ngc.com
Hours_of_Service: 8:00 - 5:00
Process_Step:
Process_Description:
The Bare Earth DEM was extracted from the raw LIDAR products and attributed with the bare earth elevation for each cell of the DEM. Bare Earth DEMs do not include buildings, vegetation, bridges or overpass structures in the bare earth model. Where abutments were clearly delineated, this transition occurred at the junction of the bridge and abutment. Where this junction was not clear, the extractor used their best estimate to delineate the separation of ground from elevated bridge surface. In the case of bridges over water bodies, if the abutment was not visible, the junction was biased to the prevailing stream bank so as not to impede the flow of water in a hydrographic model. Bare earth surface includes the top of water bodies not underwater terrain, if visible.
Source_Used_Citation_Abbreviation: Bare earth LiDAR returns
Process_Date: 20120910
Source_Produced_Citation_Abbreviation: 2-meter bare-earth DEM
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Northrop Grumman, Advanced GEOINT Solutions Operating Unit
Contact_Person: Carlos A. Prieto
Contact_Position: Project Manager
Contact_Address:
Address_Type: mailing and physical address
Address: 301 Voyager Way
City: Huntsville
State_or_Province: AL
Postal_Code: 35806
Country: USA
Contact_Voice_Telephone: (310) 297-5704
Contact_Electronic_Mail_Address: Carlos.Prieto@ngc.com
Hours_of_Service: 8:00 - 5:00
Process_Step:
Process_Description:
Reprojection of source LAS files to VT SPC NAD83 meters/NAVD88 meters and subsequent regeneration of DEMs & DSMs Raster surface models using a TIN interpolation method with a maximum triangle side length of 20 meters.
Process_Date: 20131008
Process_Time: Unknown
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Jarlath O’Neil-Dunne
Contact_Organization: UVM Spatial Analysis Lab
Contact_Position: Director
Process_Step:
Process_Description:
Normalized directory structure and naming conventions. Generation of derivatives from DEMs and DSMs, e.g., ASPECT, Hillshade, nDSM and Slope rasters and contours.
Process_Date: 20131010
Process_Time: Unknown
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Mike Brouillette
Contact_Organization: VCGI
Contact_Position: Snr. GIS Prj Mngr
Cloud_Cover: 0
Attribute_Accuracy:
Attribute_Accuracy_Report:
There is not a systematic method of testing when testing horizontal accuracy in LiDAR. The horizontal accuracy is checked by collecting building corners during the survey. Lines are then digitized representing the building outline and the differences are measure from each individual survey point to the corner of the building outline. Stats are calculated to ensure horizontal tolerances are met. These measurements resulted in an RMSEr of .21 meters and equals a RMSE accuracy .36 meter horizontal accuracy at the 95 % confidence level. The Hudson-Hoosic Deerfield AOI delivery vertical accuracy assessment was based on the derived TIN from the unclassified controlled swath data. Reporting FVA calculations to meet NSSDA specifications RMSE of 12.5 cm. Vertical accuracy requirements follow the NSSDA specifications based on RMSE of 12.5 cm in open terrain land cover category. This assessment verifies the vertical accuracy of the LiDAR derived DEM shall be calculated and reported in three ways. 1. FVA 2. SVA 3. CVA. Additionally the FVA points were assessed against the TIN derived from the LAS LiDAR point cloud controlled and calibrated swath data to ensure they met the required accuracy of 12.5cm RMSEz and 24.5cm at the 95% confidence interval.
Quantitative_Attribute_Accuracy_Assessment:
Attribute_Accuracy_Value: 0.15 meters (0.49 ft)
Attribute_Accuracy_Explanation:
Value represents the Fundamental Vertical Accuracy (FVA) assessment at the 95% confidence interval of the survey checkpoints verified against the TIN derived from the final controlled and calibrated swath data.
Quantitative_Attribute_Accuracy_Assessment:
Attribute_Accuracy_Value: 0.15 meters (0.49 ft)
Attribute_Accuracy_Explanation:
Value represents the Fundamental Vertical Accuracy (FVA) assessment at the 95% confidence interval. This represents the FVA checkpoints compared against the derived DEM at the 95% confidence interval.
Quantitative_Attribute_Accuracy_Assessment:
Attribute_Accuracy_Value: 0.22 meters (0.72 ft)
Attribute_Accuracy_Explanation:
Value Represents the Supplemental Vertical Accuracy (SVA) results Tall Weeds Crops Land Cover Class reported at the 95th Percentile. SVA checkpoints were assessed and reported against the derived DEM.
Quantitative_Attribute_Accuracy_Assessment:
Attribute_Accuracy_Value: 0.40 meters (1.31 ft)
Attribute_Accuracy_Explanation:
Value Represents the Supplemental Vertical Accuracy (SVA) results Fully Forested Land Cover Class reported at the 95th Percentile. SVA checkpoints were assessed and reported against the derived DEM.
Quantitative_Attribute_Accuracy_Assessment:
Attribute_Accuracy_Explanation:
Value Represents the Consolidated Vertical Accuracy (CVA) results all Land Cover Classes combined and reported at the 95th Percentile. CVA checkpoints were assessed and reported against the derived DEM.
Attribute_Accuracy_Value: 0.25 meters (0.82 ft)
Quantitative_Attribute_Accuracy_Assessment:
Attribute_Accuracy_Explanation:
Value represent horizontal accuracy assessment at the 95% confidence interval.
Attribute_Accuracy_Value: 0.36 meters (1.18 ft)
Spatial_Data_Organization_Information:
Indirect_Spatial_Reference: RASTER
Direct_Spatial_Reference_Method: Point
Point_and_Vector_Object_Information:
SDTS_Terms_Description:
SDTS_Point_and_Vector_Object_Type: Point
Point_and_Vector_Object_Count: number
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Grid_Coordinate_System:
Grid_Coordinate_System_Name: State Plane Coordinate System
State_Plane_Coordinate_System:
SPCS_Zone_Identifier: 4400
Transverse_Mercator:
Scale_Factor_at_Central_Meridian: 0.999964
Longitude_of_Central_Meridian: -72.500000
False_Easting: 500000.000000
False_Northing: 0.000000
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: coordinate pair
Coordinate_Representation:
Abscissa_Resolution: 0.001
Ordinate_Resolution: 0.001
Planar_Distance_Units: Meters
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1983
Ellipsoid_Name: Geodetic Reference System 80
Semi-major_Axis: 6378137
Denominator_of_Flattening_Ratio: 1 / 298.25722210
Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: *.LAS
Entity_Type_Definition: LiDAR, LAS Version 1.2
Entity_Type_Definition_Source: ASPRS
Overview_Description:
Entity_and_Attribute_Overview:
The Light Detection and Ranging (LiDAR) dataset is a survey of the Hudson-Hoosic project area. The entire survey area for Hudson-Hoosic encompasses approximately 2,895 square miles. The LiDAR point cloud was flown at a nominal post spacing of 2.0 meters for unobscured areas. The LiDAR data and derivative products produced are in compliance with the U.S. Geological Survey National Geospatial Program LIDAR Guidelines and Base Specifications, Version 13-ILMF 2010. The flight lines were acquired by Northrop Grumman, Advanced GEOINT Solutions Operating Unit, which required twenty-four missions between March 20, 2012 and April 30, 2012. Derivative products from the aerial acquisition include: raw point cloud data in LAS v1.2 format, classified point cloud data in LAS v1.2 format, bare earth surface (raster DEM) tiles in 32-bit floating point raster ERDAS .IMG format, breaklines in ESRI Arc Shape format, control points in ESRI Arc Shape format, project report, and FGDC compliant XML metadata.
Entity_and_Attribute_Detail_Citation:
The Light Detection and Ranging (LiDAR) dataset is a survey of the Hudson-Hoosic project area. The entire survey area for Hudson-Hoosic encompasses approximately 2,895 square miles. The LiDAR point cloud was flown at a nominal post spacing of 2.0 meters for unobscured areas. The LiDAR data and derivative products produced are in compliance with the U.S. Geological Survey National Geospatial Program LIDAR Guidelines and Base Specifications, Version 13-ILMF 2010. The flight lines were acquired by Northrop Grumman, Advanced GEOINT Solutions Operating Unit, which required twenty-four missions between March 20, 2012 and April 30, 2012. Derivative products from the aerial acquisition include: raw point cloud data in LAS v1.2 format, classified point cloud data in LAS v1.2 format, bare earth surface (raster DEM) tiles in 32-bit floating point raster ERDAS .IMG format, breaklines in ESRI Arc Shape format, control points in ESRI Arc Shape format, project report, and FGDC compliant XML metadata.
Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: VT Center for Geographic Information
Contact_Address:
Address_Type: Mailing and Physical Address
Address: 58 South Main Street, Suite 2
City: Waterbury
State_or_Province: VT
Postal_Code: 05676
Country: USA
Contact_Voice_Telephone: 802/882-3000
Contact_TDD/TTY_Telephone: None
Contact_Facsimile_Telephone: 802/882-3001
Contact_Electronic_Mail_Address: info@vcgi.org
Hours_of_Service: 9am - 5pm, M-F
Resource_Description: layername
Distribution_Liability:
VCGI and the State of Vermont make no representations of any kind, including but not limited to the warranties of merchantability or fitness for a particular use, nor are any such warranties to be implied with respect to the data.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: SHP
Format_Specification: ESRI Shapefile format (compressed into ZIP file format)
Format_Information_Content: geospatial data
File_Decompression_Technique: ZIP extraction tool
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: <http://vcgi.vermont.gov/warehouse/>
Access_Instructions: Download from web site.
Offline_Option:
Offline_Media: USB drive
Fees:
No charge when downloading from the internet, and when no custom processing is required.
Ordering_Instructions:
Download from web site or mail-fax a copy of the VCGI 'Data Request Form' which is available from the VGIS web site <http://vcgi.vermont.gov/warehouse/>
Turnaround: About 5 days.
Custom_Order_Process:
Mail or Fax a copy of the VCGI 'Data Request Form' which is available from <http://vcgi.vermont.gov/warehouse/order_forms>
Technical_Prerequisites: GIS Software
Available_Time_Period:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: yyyymmdd
Time_of_Day: Unknown
Metadata_Reference_Information:
Metadata_Date: 20131112
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: VT Center for Geographic Information
Contact_Person: GIS Database Administrator
Contact_Address:
Address_Type: Mailing and Physical Address
Address: 58 South Main Street, Suite 2
City: Waterbury
State_or_Province: VT
Postal_Code: 05676
Country: USA
Contact_Voice_Telephone: 802/882-3000
Contact_TDD/TTY_Telephone: None
Contact_Facsimile_Telephone: 802/882-3001
Metadata_Date: 20120910
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Northrop Grumman, Advanced GEOINT Solutions Operating Unit
Contact_Person: Carlos A. Prieto
Contact_Position: Project Manager
Contact_Address:
Address_Type: mailing and physical address
Address: 301 Voyager Way
City: Huntsville
State_or_Province: AL
Postal_Code: 35806
Country: USA
Contact_Voice_Telephone: (310) 297-5704
Contact_Electronic_Mail_Address: Carlos.Prieto@ngc.com
Hours_of_Service: 8:00 - 5:00
Metadata_Standard_Name: FGDC Content Standards for Digital Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Time_Convention: Local time
Metadata_Access_Constraints: None
Metadata_Use_Constraints: None
Metadata_Security_Information:
Metadata_Security_Classification_System: N/A
Metadata_Security_Classification: Unclassified
Metadata_Security_Handling_Description: No security considerations
Generated by mp version 2.9.20 on Mon Nov 11 16:22:38 2013