gov.noaa.nmfs.inport:49765 eng UTF8 dataset OCM Partners resourceProvider NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information pointOfContact 2022-03-29T00:00:00 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) 2 column 9553 1 row 11041 1 point 0 WGS 84 / UTM zone 15N 2008-11-12 publication European Petroleum Survey Group https://apps.epsg.org/api/v1/CoordRefSystem/32615/export/?format=gml urn:ogc:def:crs:EPSG:32615 6.18.3 EGM2008 (m) meters EGM2008 (m) meters https://apps.epsg.org/api/v1/VerticalCoordRefSystem/3855/?api_key=gml EGM2008 (m) meters Link to Geographic Markup Language (GML) description of reference system. information resourceProvider European Petroleum Survey Group https://www.epsg.org/ European Petroleum Survey Group Geodetic Parameter Registry Registry that accesses the EPSG Geodetic Parameter Dataset, which is a structured dataset of Coordinate Reference Systems and Coordinate Transformations. search publisher vertical OGP 2006-11-28 false urn:ogc:def:cs:EPSG::6499 Vertical CS. Axis: height (H). Orientation: up. UoM: meter. Used in vertical coordinate reference systems. urn:ogc:def:axis:EPSG::114 H up urn:ogc:def:crs:EPSG::3855 USGS Atchafalaya 2 LiDAR la2013_usgs_atchafalaya_m4747_metadata 2015-02 publication NOAA/NMFS/EDM 49765 https://www.fisheries.noaa.gov/inport/item/49765 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information https://coast.noaa.gov/dataviewer WWW:LINK-1.0-http--link Citation URL Online Resource download https://coast.noaa.gov WWW:LINK-1.0-http--link Citation URL Online Resource download The Light Detection and Ranging (LiDAR) dataset is a survey of the Atchafalaya Basin project area. The entire survey area for Atchafalaya encompasses approximately 1650.5 square miles. The LiDAR point cloud was flown at a nominal post spacing of 1.0 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 Aerial Cartographics of America, Inc "ACA", which required eight missions between December 18, 2012 - March 01, 2013. 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. This data set is a raster file of z values with 9553 columns and 11041 rows. The data set was extracted from a larger classified data set and only includes points classified as Ground within the requested geographic bounds. The purpose of this project was to produce a high resolution LiDAR data set to assist in change detection mapping of the Atchafalaya Basin located in Southern Louisiana. completed NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information pointOfContact NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information custodian unknown https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4747/supplemental/la2013_usgs_atchafalaya_m4747.kmz This graphic shows the coverage of the 2012 Atchafalaya Louisiana data collection. kmz Winter temporal Season 2013 temporal Year United States place Country Iberville and St Martin place Parishes USGS theme Lidar - partner (no harvest) project InPort otherRestrictions This data set was compiled dynamically, and will exist on https://chs.coast.noaa.gov/pickup/dav/531748/531748/la2013_usgs_atchafalaya_Job756735.zip until 10 days after 08/02/2022. The file will then be deleted from the system. Cite As: OCM Partners, [Date of Access]: USGS Atchafalaya 2 LiDAR [Data Date Range], https://www.fisheries.noaa.gov/inport/item/49765. NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose. otherRestrictions otherRestrictions This data set was compiled dynamically, and will exist on https://chs.coast.noaa.gov/pickup/dav/531748/531748/la2013_usgs_atchafalaya_Job756735.zip until 10 days after 08/02/2022. The file will then be deleted from the system. Access Constraints: None | Use Constraints: The data depicts the elevations at time of survey and are accurate only for that time. Exercise professional judgement in using this data. | Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of USGS, Northrop Grumman, NOAA, the Office for Coastal Management or its partners. unclassified NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 49765 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/49765.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference vector eng; US elevation -91.35063171 -91.2538147 29.3595954527 30.8269431712 | Currentness: Ground Condition 2012-12-18 | Currentness: Ground Condition 2012-12-19 | Currentness: Ground Condition 2012-12-21 | Currentness: Ground Condition 2013-01-28 | Currentness: Ground Condition 2013-02-19 | Currentness: Ground Condition 2013-02-20 | Currentness: Ground Condition 2013-03-01 | Currentness: Ground Condition 2013-03-02 A footprint of this data set may be viewed in Google Earth at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4747/supplemental/la2013_usgs_atchafalaya_m4747.kmz A report for this dataset is available at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4747/supplemental/la2013_usgs_atchafalaya_m4747_surveyreport.pdf false eng false none NOAA Office for Coastal Management (843) 740-1202 2234 South Hobson Ave Charleston SC 29405-2413 coastal.info@noaa.gov https://coast.noaa.gov WWW:LINK-1.0-http--link NOAA Office for Coastal Management Website NOAA Office for Coastal Management Home Page information distributor https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=4747 WWW:LINK-1.0-http--link Customized Download Create custom data files by choosing data area, product type, map projection, file format, datum, etc. download https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4747/index.html WWW:LINK-1.0-http--link Bulk Download Simple download of data files. download dataset Accuracy These data are not attributed. Horizontal Positional Accuracy 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 0.39 meters and equals a RMSE accuracy of 0.68 meter horizontal accuracy at the 95 % confidence level. Method used was the NSSDA standard for horizontal accuracy assessment. RMSEr * 1.73 = Horizontal Accuracy at the 95% confidence interval. ; Quantitative Value: 0.39 meters, Test that produced the value: 39 cm RMSE (0.68 meter horizontal accuracy at the 95 % confidence level) Vertical Positional Accuracy 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:Bare-Earth= 0.17, Tall Weeds and Crops=0.24 meters, Brush Lands and Trees= 0.48 , Forested and Fully Grown=0.12 . Consolidated Vertical Accuracies (CVA) at the 95th Percentile =0.32 meters. Final accuracy statement for this task order is as follows; FVA Tested 0.17 meters vertical accuracy at the 95% confidence level.; Quantitative Value: 0.086 meters, Test that produced the value: 8.6 cm RMSEz Completeness Report Ground Truth data was collected of the five major land cover classes present within the study area. 20 points were collected in each of the five vegetation classes that were present within the AOI bare earth, tall weeds and crops, brush lands and trees, forested and fully grown, and swamp and marsh or wetlands. Pair of points was surveyed using the local Gulf-Net RTK Cooperative network once completed the total station is used to collect the taller vegetation classes. A total station was used to collect all the shots collected in the taller vegetation class, due to the limited GPS signal when working in and around vegetation canopy. Conceptual Consistency The GPS survey was tied into the Gulf-Net RTK Cooperative Network located in Louisiana. The Gulf-Net network is a network of continuously operating GPS reference stations that provides Real Time Kinematic (RTK) capabilities within a Real Time Network (RTN). This allows corrections to be applied to the points as they are being collected, eliminating the need for an adjustment. Several existing control monuments listed in the NSRS database were used as checks within the Gulf-Net Network. This confirmed network accuracies were being met during the field survey as well as providing a redundancy check on the Gulf-Net network. The Specified local network accuracy of 5cm at the 95% confidence level was met or exceeded. 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. 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. 2013-03-01T00:00:00 The ABGPS, IMU, and raw scans are integrated using proprietary software developed by Lieca and delivered with the Lieca 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 UTM 15 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, named according to the US National Grid 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 2013-03-11T00:00:00 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. 2013-04-09T00:00:00 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. 2013-07-05T00:00:00 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. 2013-07-19T00:00:00 The NOAA Office for Coastal Management (OCM) received the topographic lidar files in LAS format from SWFWMD. The files contained lidar easting, northing, elevation, intensity, return number, etc. The data was received in Florida State Plane West 0902 (US ft) and NAVD88 (US ft). OCM performed the following processing for data storage and Digital Coast provisioning purposes: 1. The files were reviewed and erroneous elevations were removed. 2. Class 11 (withheld) points were reclassed to Class 15 (as needed). 2015-01-15T00:00:00 The horizontal and vertical values in this data set have been converted from the NAD83 spatial reference system to the ITRF2008 spatial reference system using VDatum (vdatum.noaa.gov) The vertical values in this data set have been converted to reference the Earth Gravitational Model of 2008 using VDatum (vdatum.noaa.gov). The data values in this data set have been rasterized and stored in a 32-bit Floating point GeoTIFF format. The data values in this data set have been projected. This projection is noted in another section of this metadata record. The projection library used was derived from the General Cartographic Transform Program developed by the United States Geological Survey, National Mapping Division. The cell values in this data set represent the average elevation measurement found within each cell, or if there were no values in the cell, a value may have been interpolated from surrounding cells with data values. The perimeter cells of a 3x3 box surrounding the empty cell is queried for known values - if less than three values are found, then the perimeter cells of a 5x5 box is searched for known values. This process is repeated for a 7x7 box if less than 3 values are found. If less than three accumulated known values were found, then the cell is assigned a no data value (usually -999999 for formats that have a tag for the nodata value, otherwise an IEEE NaN value). If at least 3 values were found in that search, the value in the empty cell is interpolated from the known values using an Inverse Distance Weighting (IDW) method. The data has been reprojected as requested. See the spatial reference information for projection information. Processing notes: 2022-08-02T08:33:12 NOAA Office for Coastal Management coastal.info@noaa.gov processor