| 2024 USACE SAM Hyperspectral Imagery: Lake Seminole (AL, FL, GA) | referenceSystemInfo|
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| (MI_Metadata) fileIdentifier: gov.noaa.nmfs.inport:76171 language: LanguageCode: eng characterSet: (MD_CharacterSetCode) UTF8 hierarchyLevel: (MD_ScopeCode) dataset contact: (CI_ResponsibleParty) organisationName: OCM Partners contactInfo: (CI_Contact) phone: (CI_Telephone) voice: (missing) address: (CI_Address) role: (CI_RoleCode) resourceProvider contact: (CI_ResponsibleParty) organisationName: NOAA Office for Coastal Management contactInfo: (CI_Contact) phone: (CI_Telephone) voice: (843) 740-1202 address: (CI_Address) deliveryPoint: 2234 South Hobson Ave city: Charleston administrativeArea: SC postalCode: 29405-2413 country: (missing) electronicMailAddress: coastal.info@noaa.gov onlineResource: (CI_OnlineResource) linkage: https://coast.noaa.gov protocol: WWW:LINK-1.0-http--link name: NOAA Office for Coastal Management Website description: NOAA Office for Coastal Management Home Page function: (CI_OnLineFunctionCode) information role: (CI_RoleCode) pointOfContact dateStamp: DateTime: 2025-06-20T15:29:52 metadataStandardName: ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data metadataStandardVersion: ISO 19115-2:2009(E) return to top referenceSystemInfo: (MD_ReferenceSystem) referenceSystemIdentifier: (RS_Identifier) code: EPSG::6345 return to top identificationInfo: (MD_DataIdentification) citation: (CI_Citation) title: 2024 USACE SAM Hyperspectral Imagery: Lake Seminole (AL, FL, GA) date: (CI_Date) date: 2024 dateType: (CI_DateTypeCode) creation date: (CI_Date) date: 2025 dateType: (CI_DateTypeCode) publication identifier: (MD_Identifier) authority: (CI_Citation) title: NOAA/NMFS/EDM date: (inapplicable) code: Anchor: InPort Catalog ID 76171 citedResponsibleParty: (CI_ResponsibleParty) organisationName: (inapplicable) contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://www.fisheries.noaa.gov/inport/item/76171 protocol: WWW:LINK-1.0-http--link name: Full Metadata Record description: View the complete metadata record on InPort for more information about this dataset. function: (CI_OnLineFunctionCode) information role: (inapplicable) presentationForm: (CI_PresentationFormCode) mapDigital otherCitationDetails: Acknowledgement of the Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX) would be appreciated in any publications or derived products. abstract: Original Data: These files contain 48-band Hyperspectral orthorectified mosaic imagery tiles generated from data collected using a ITRES Compact Airborne Spectrographic Imager (CASI) 1500 hyperspectral sensor. This wide-array hyperspectral VNIR imager collected imagery data in tandem with the Coastal Zone Mapping and Imaging Lidar bathymetric sensor and a Phase One 150-F full-frame mapping camera on a single remote sensing platform. Native imagery data is not generally in a format accessible to most Geographic Information Systems (GIS). Specialized in-house and commercial software packages were used to process the native imagery data into 48-band orthorectified mosaic imagery that can be imported into GIS software for visualization and further analysis. Trajectories were transformed into positional coordinates using the HTDP (Horizontal Time-Dependent Positioning) software to maintain consistency with the NGS (National Geodetic Survey) reference to the North American Datum of 1983 (NAD83) and the North American tectonic plate coordinates realized from the National Adjustment of 2011, or NAD83 (2011). Horizontal positions, provided in UTM Zone 16 NAD83 (2011) meters coordinates at the 2010.00 epoch. NGS hybrid geoid model GEOID12B was used to transform the vertical positions from ellipsoidal heights to orthometric heights referenced to the North American Datum of 1988 (NAVD88).The imagery data are in TIF files tiled using 1 km boxes defined by the Military Grid Reference System (MGRS). The file naming convention references the year, effort, area, box number, and data product type. An example file name is, 2024_NCMP_FL_16RFU9899_HSI, where 2024 is the year of data collection, NCMP is the effort under which data were collected, FL is the area of data collection 16RFU9899 is the box number and HSI is the data product type. The NOAA Office for Coastal Management (OCM) received the data from the USACE Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX). NOAA OCM processed the data to the NOAA Digital Coast Data Access Viewer (DAV) to make the data publicly available for bulk and custom downloads. purpose: These data were collected by the USACE in support of NCMP to obtain imagery of conditions along the coasts of Florida and Georgia. credit: Acknowledgement of the Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX) would be appreciated in any publications or derived products. status: (MD_ProgressCode) completed pointOfContact: (CI_ResponsibleParty) organisationName: NOAA Office for Coastal Management contactInfo: (CI_Contact) phone: (CI_Telephone) voice: (843) 740-1202 address: (CI_Address) deliveryPoint: 2234 South Hobson Ave city: Charleston administrativeArea: SC postalCode: 29405-2413 country: (missing) electronicMailAddress: coastal.info@noaa.gov onlineResource: (CI_OnlineResource) linkage: https://coast.noaa.gov protocol: WWW:LINK-1.0-http--link name: NOAA Office for Coastal Management Website description: NOAA Office for Coastal Management Home Page function: (CI_OnLineFunctionCode) information role: (CI_RoleCode) pointOfContact pointOfContact: (CI_ResponsibleParty) organisationName: NOAA Office for Coastal Management contactInfo: (CI_Contact) phone: (CI_Telephone) voice: (843) 740-1202 address: (CI_Address) deliveryPoint: 2234 South Hobson Ave city: Charleston administrativeArea: SC postalCode: 29405-2413 country: (missing) electronicMailAddress: coastal.info@noaa.gov onlineResource: (CI_OnlineResource) linkage: https://coast.noaa.gov protocol: WWW:LINK-1.0-http--link name: NOAA Office for Coastal Management Website description: NOAA Office for Coastal Management Home Page function: (CI_OnLineFunctionCode) information role: (CI_RoleCode) custodian resourceMaintenance: (MD_MaintenanceInformation) maintenanceAndUpdateFrequency: (MD_MaintenanceFrequencyCode) asNeeded descriptiveKeywords: (MD_Keywords) keyword: DOD/USARMY/USACE/SAM/MOBILE/OPJ/JALBTCX > Joint Airborne Lidar Bathymetry Technical Center of Expertise, Mobile District, South Atlantic Division, U.S. Army Corps of Engineers, U.S. Army, U.S. Department of Defense type: (MD_KeywordTypeCode) dataCentre thesaurusName: (CI_Citation) title: Global Change Master Directory (GCMD) Data Center Keywords date: (missing) edition: 17.0 descriptiveKeywords: (MD_Keywords) keyword: EARTH SCIENCE > LAND SURFACE > GEOMORPHIC LANDFORMS/PROCESSES > COASTAL LANDFORMS keyword: EARTH SCIENCE > LAND SURFACE > GEOMORPHIC LANDFORMS/PROCESSES > COASTAL PROCESSES keyword: EARTH SCIENCE > SPECTRAL/ENGINEERING > VISIBLE WAVELENGTHS > VISIBLE IMAGERY type: (MD_KeywordTypeCode) theme thesaurusName: (CI_Citation) title: Global Change Master Directory (GCMD) Science Keywords date: (missing) edition: 17.0 descriptiveKeywords: (MD_Keywords) keyword: CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA keyword: CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > ALABAMA keyword: CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > FLORIDA keyword: CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > GEORGIA type: (MD_KeywordTypeCode) place thesaurusName: (CI_Citation) title: Global Change Master Directory (GCMD) Location Keywords date: (missing) edition: 20.8 descriptiveKeywords: (MD_Keywords) keyword: CAMERAS keyword: CASI > Compact Airborne Spectrographic Imager type: (MD_KeywordTypeCode) instrument thesaurusName: (CI_Citation) title: Global Change Master Directory (GCMD) Instrument Keywords date: (missing) edition: 17.2 descriptiveKeywords: (MD_Keywords) keyword: Airplane > Airplane type: (MD_KeywordTypeCode) platform thesaurusName: (CI_Citation) title: Global Change Master Directory (GCMD) Platform Keywords date: (missing) edition: 17.2 descriptiveKeywords: (MD_Keywords) keyword: Joint Airborne Lidar Bathymetry Technical Center of Expertise keyword: Mobile District keyword: Spatial Data Branch keyword: United States Army keyword: United States Army Corps of Engineers type: (MD_KeywordTypeCode) theme thesaurusName: (CI_Citation) title: GCMD Data Center Keywords v7 date: (missing) descriptiveKeywords: (MD_Keywords) keyword: Remotely Sensed Imagery/Photography type: (MD_KeywordTypeCode) theme thesaurusName: (CI_Citation) title: NOS Data Explorer Topic Category date: (missing) descriptiveKeywords: (MD_Keywords) keyword: Hyperspectral Imagery keyword: Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX) keyword: National Coastal Mapping Program (NCMP) keyword: Topography keyword: U.S. Army Corps of Engineers (USACE) type: (MD_KeywordTypeCode) theme descriptiveKeywords: (MD_Keywords) keyword: Imagery - partner (no harvest) type: (MD_KeywordTypeCode) project thesaurusName: (CI_Citation) title: InPort date: (inapplicable) resourceConstraints: (MD_LegalConstraints) useConstraints: (MD_RestrictionCode) otherRestrictions otherConstraints: Cite As: OCM Partners, [Date of Access]: 2024 USACE SAM Hyperspectral Imagery: Lake Seminole (AL, FL, GA) [Data Date Range], https://www.fisheries.noaa.gov/inport/item/76171. resourceConstraints: (MD_Constraints) useLimitation: 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. resourceConstraints: (MD_LegalConstraints) accessConstraints: (MD_RestrictionCode) otherRestrictions otherConstraints: Access Constraints: None. These data have been developed from the best available sources. Although efforts have been made to ensure that the data are accurate and reliable, errors and variable conditions originating from physical sources used to develop the data may be reflected in the data supplied. Users must be aware of these conditions and bear responsibility for the appropriate use of the information with respect to possible errors, scale, resolution, rectification, positional accuracy, development methodology, time period, environmental and climatic conditions and other circumstances specific to these data. The user is responsible for understanding the accuracy limitations of the data provided herein. The burden for determining fitness for use lies entirely with the user. The user should refer to the accompanying metadata notes for a description of the data and data development procedures. resourceConstraints: (MD_LegalConstraints) useConstraints: (MD_RestrictionCode) otherRestrictions otherConstraints: Use Constraints: These data depict the imagery at the time of the survey and are only accurate for that time. Acknowledgement of the Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX) would be appreciated in any publications or derived products. The data herein, including but not limited to geographic data, tabular data, analytical data, electronic data structures or files, are provided "as is" without warranty of any kind, either expressed or implied, or statutory, including, but not limited to, the implied warranties or merchantability and fitness for a particular purpose. The entire risk as to the quality and performance of the data is assumed by the user. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the U.S. Army Corps of Engineers, Mobile District Office, Spatial Data Branch be liable for direct, indirect, incidental, consequential or special damages of any kind, including, but not limited to, loss of anticipated profits or benefits arising out of use of or reliance on the data. The Spatial Data Branch does not accept liability for any damages or misrepresentation caused by inaccuracies in the data or because of changes to the data caused by system transfers or other transformations or conversions, nor is there responsibility assumed to maintain the data in any manner or form. resourceConstraints: (MD_LegalConstraints) useLimitation: (MD_RestrictionCode) otherRestrictions otherConstraints: Distribution Liability: These data depict the imagery at the time of the survey and are only accurate for that time. Acknowledgement of the Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX) would be appreciated in any publications or derived products. The data herein, including but not limited to geographic data, tabular data, analytical data, electronic data structures or files, are provided "as is" without warranty of any kind, either expressed or implied, or statutory, including, but not limited to, the implied warranties or merchantability and fitness for a particular purpose. The entire risk as to the quality and performance of the data is assumed by the user. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the U.S. Army Corps of Engineers, Mobile District Office, Spatial Data Branch be liable for direct, indirect, incidental, consequential or special damages of any kind, including, but not limited to, loss of anticipated profits or benefits arising out of use of or reliance on the data. The Spatial Data Branch does not accept liability for any damages or misrepresentation caused by inaccuracies in the data or because of changes to the data caused by system transfers or other transformations or conversions, nor is there responsibility assumed to maintain the data in any manner or form. Any conclusions drawn from the analysis of this information are not the responsibility of JALBTCX, the NOAA Office for Coastal Management, or its partners. resourceConstraints: (MD_SecurityConstraints) classification: (MD_ClassificationCode) unclassified classificationSystem: (missing) handlingDescription: (missing) aggregationInfo: (MD_AggregateInformation) aggregateDataSetName: (CI_Citation) title: 2024 USACE SAM Phase One Natural Color 8 Bit Imagery: Lake Seminole (AL, FL, GA) date: (unknown) identifier: (MD_Identifier) authority: (CI_Citation) title: NOAA/NMFS/EDM date: (inapplicable) code: 76154 associationType: (DS_AssociationTypeCode) crossReference aggregationInfo: (MD_AggregateInformation) aggregateDataSetName: (CI_Citation) title: 2024 USACE SAM Topographic Lidar DEM: Lake Seminole (AL, FL, GA) date: (unknown) identifier: (MD_Identifier) authority: (CI_Citation) title: NOAA/NMFS/EDM date: (inapplicable) code: 76153 associationType: (DS_AssociationTypeCode) crossReference aggregationInfo: (MD_AggregateInformation) aggregateDataSetName: (CI_Citation) title: 2024 USACE SAM Topographic Lidar: Lake Seminole (AL, FL, GA) date: (unknown) identifier: (MD_Identifier) authority: (CI_Citation) title: NOAA/NMFS/EDM date: (inapplicable) code: 76138 associationType: (DS_AssociationTypeCode) crossReference aggregationInfo: (MD_AggregateInformation) aggregateDataSetName: (CI_Citation) title: NOAA Data Management Plan (DMP) date: (unknown) identifier: (MD_Identifier) authority: (CI_Citation) title: NOAA/NMFS/EDM date: (inapplicable) code: 76171 citedResponsibleParty: (CI_ResponsibleParty) organisationName: (inapplicable) contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/76171.pdf protocol: WWW:LINK-1.0-http--link name: NOAA Data Management Plan (DMP) description: NOAA Data Management Plan for this record on InPort. function: (CI_OnLineFunctionCode) information role: (inapplicable) associationType: (DS_AssociationTypeCode) crossReference language: eng; US topicCategory: (MD_TopicCategoryCode) imageryBaseMapsEarthCover environmentDescription: Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.1.0.3035 extent: (EX_Extent) geographicElement: (EX_GeographicBoundingBox) westBoundLongitude: -84.78306 eastBoundLongitude: -84.72868 southBoundLatitude: 30.84872 northBoundLatitude: 30.93906 geographicElement: (EX_GeographicDescription) geographicIdentifier: (MD_Identifier) code: Data extent for Block 24428 geographicElement: (EX_GeographicBoundingBox) westBoundLongitude: -85.00441 eastBoundLongitude: -84.62675 southBoundLatitude: 30.68801 northBoundLatitude: 30.87702 geographicElement: (EX_GeographicDescription) geographicIdentifier: (MD_Identifier) code: Data extent for Block 24426 geographicElement: (EX_GeographicBoundingBox) westBoundLongitude: -84.70032 eastBoundLongitude: -84.52926 southBoundLatitude: 30.8108 northBoundLatitude: 30.98956 geographicElement: (EX_GeographicDescription) geographicIdentifier: (MD_Identifier) code: Data extent for Block 24429 geographicElement: (EX_GeographicBoundingBox) westBoundLongitude: -85.0315 eastBoundLongitude: -84.89802 southBoundLatitude: 30.83348 northBoundLatitude: 31.01548 geographicElement: (EX_GeographicDescription) geographicIdentifier: (MD_Identifier) code: Data extent for Block 24427 temporalElement: (EX_TemporalExtent) extent: TimeInstant: description: Date of collection for Block 24427 | Currentness: Ground Condition timePosition: 2024-08-12 temporalElement: (EX_TemporalExtent) extent: TimePeriod: description: Dates of collection for Block 24428 | Currentness: Ground Condition beginPosition: 2024-08-06 endPosition: 2024-08-12 temporalElement: (EX_TemporalExtent) extent: TimeInstant: description: Date of collection for Block 24429 | Currentness: Ground Condition timePosition: 2024-08-12 temporalElement: (EX_TemporalExtent) extent: TimePeriod: description: Dates of collection for Block 24426 | Currentness: Ground Condition beginPosition: 2024-08-06 endPosition: 2024-08-12 return to top distributionInfo: (MD_Distribution) distributionFormat: (MD_Format) name: (inapplicable) version: (missing) fileDecompressionTechnique: Zip distributionFormat: (MD_Format) name: GeoTIFF version: (missing) distributor: (MD_Distributor) distributorContact: (CI_ResponsibleParty) organisationName: NOAA Office for Coastal Management contactInfo: (CI_Contact) phone: (CI_Telephone) voice: (843) 740-1202 address: (CI_Address) deliveryPoint: 2234 South Hobson Ave city: Charleston administrativeArea: SC postalCode: 29405-2413 country: (missing) electronicMailAddress: coastal.info@noaa.gov onlineResource: (CI_OnlineResource) linkage: https://coast.noaa.gov protocol: WWW:LINK-1.0-http--link name: NOAA Office for Coastal Management Website description: NOAA Office for Coastal Management Home Page function: (CI_OnLineFunctionCode) information role: (CI_RoleCode) distributor transferOptions: (MD_DigitalTransferOptions) onLine: (CI_OnlineResource) linkage: https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=10350/details/10350 protocol: WWW:LINK-1.0-http--link name: Customized Download description: Create custom data files by choosing data area, product type, map projection, file format, datum, etc. function: (CI_OnLineFunctionCode) download transferOptions: (MD_DigitalTransferOptions) onLine: (CI_OnlineResource) linkage: https://coastalimagery.blob.core.windows.net/digitalcoast/LakeSeminole_GA_HSI_2024_10350/index.html protocol: WWW:LINK-1.0-http--link name: Bulk Download description: Simple download of data files. function: (CI_OnLineFunctionCode) download return to top dataQualityInfo: (DQ_DataQuality) scope: (DQ_Scope) level: (MD_ScopeCode) dataset report: (DQ_AbsoluteExternalPositionalAccuracy) nameOfMeasure: Horizontal Positional Accuracy evaluationMethodDescription: The data positions were obtained using post processed Direct Georeference PPK methods. The horizontal accuracy of the hyperspectral imagery operation is 2.5m at 95% Confidence Level with typical RMSE is 1.3m. Gross offsets in imagery data may be due to DEM affects or unforseen timing offsets caused by missed or unknown camera trigger times. result: (missing) report: (DQ_CompletenessCommission) nameOfMeasure: Completeness Report evaluationMethodDescription: Planned data coverage for this dataset includes the shoreline along the coasts of Florida and Georgia. Every effort within operational constraints was made to achieve the intended data coverage and planned image resolution. This dataset covers the spatial extent of imagery obtained during this survey. result: (missing) report: (DQ_ConceptualConsistency) nameOfMeasure: Conceptual Consistency evaluationMethodDescription: Every effort within operational constraints was made to acquire data that meets specifications as outlined in this project's Statement of Work. result: (missing) lineage: (LI_Lineage) statement: CASI-1500 hyperspectral data were converted from RAW (*.raw) files created during the data collection to unrectified radiometrically corrected PCIDSK (*.pix) file using command line RADCOR processing executable utility developed by ITRES. A Smoothed Best Estimate of Trajectory (SBET) solution was resolved from the raw aircraft GNSS-IMU positional data using the Applanix POSPac Mobile Mapping Suite (MMS) software package. The SBET was convert to a format recognizable by ITRES's MAKEGPS executable. Navigation sync and correction was applied using ITRES' ATTSYNC, FORMNAV, and NAVCOR. A Digital Elevation Model (DEM) was generated from lidar data collected concurrently with the imagery using an adjacent sensor in tandem with the CASI-1500 on a single remote sensing platform. The unrectified PIX files, navigation data, DEM file, and camera calibration parameters were given as input to the HydroFusion, a Teledyne Optech software package for processing lidar, true color imagery and hyperspectral imagery. Using HydroFusion, the data was geometrically corrected using ITRES's GEOCOR utility, atmospheric correction, glint reduction, color balancing, and mosaicking. The mosaic data were exported from HydroFusion as ENVI IMG (*.img) files in a single block according as collected. Image footprint shapefiles were used to extract 1 km MGRS grid cells. Finally, the block mosaic was clipped to each representative 1km MGRS grid. The mosaic image files were compressed using Geospatial Data Abstraction Library (GDAL) tools by applying the LZW lossless compression method. The compressed mosaic image files were finalized using GDAL and the Esri ArcGIS Desktop software package. GDAL was also used to calculate statistics and build pyramids internally using the accepted Cloud Optimized TIFF format, while ArcGIS was used to create metadata for each image tile. The data processing workflow, including software packages, algorithms and parameters are provided in detail, within this metadata as Process Steps. The NOAA Office for Coastal Management (OCM) received the data from the USACE Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX). NOAA OCM processed the data to the NOAA Digital Coast Data Access Viewer (DAV) to make the data publicly available for bulk and custom downloads. processStep: (LI_ProcessStep) description: These data were collected using the ITRES CASI-1500 hyperspectral imager. The camera is owned by the U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX) and operated through contract with Woolpert, Inc. The CASI-1500 is ITRES's flagship wide-array airborne hyperspectral VNIR push-broom imager specifically designed for remote sensing applications. The CASI-1500 can capture high-resolution spectral imagery from 350nm to 1050nm with up to 288 spectral channels and a total field of view of 40 degrees. The imagery was collected with an aperture of 4 and an integration time 10ms at 48-Band. Aircraft position, velocity, and acceleration information was collected as raw POS data using the Applanix POS AV 610 (Position and Orientation System Airborne Vehicles) system. The POS AV 610 creates a GNSS-IMU solution for airborne direct georeferencing which precisely measures the position and orientation of the onboard aerial sensors hundreds of times per second and accounts for all motion variables at the exact moment of data capture. All raw data streams from the collected mission, including the RAW files from the CASI-1500 hyperspectral imager and the POS data from the Applanix POS AV 610 system, were then transferred from the field to the office for downloading, duplicating, and processing. processStep: (LI_ProcessStep) description: After collection, the navigation data was refined with the Applanix POSPac Mobile Mapping Suite (MMS) software package. A copy of the raw POS data from the Applanix POS AV 610 system was used as input for the navigation post-processing. A reference to the Applanix POSPac Trimble Post-Processed CenterPoint RTX (PP-RTX) correction service was downloaded for kinetic processing. POSPac PP-RTX is a cloud based global GNSS correction service which utilizes Trimble's RTX technology to provide centimeter level post-processed positioning accuracy without base stations. The Trimble RTX technology utilizes data from a dedicated global network of tracking stations to compute corrections to satellite orbit and clock information as well as atmospheric delay models. After PP-RTX completed, lever arms and mounting angles were verified to match the values of current camera installation. At this stage, an automated primary GNSS lever arm calibration was performed to check auto-calibration values against original lever arm values to ensure no unexpected offset or drift in misalignment values had occurred. Using the original lever arm values, data was then processed using the integrated GNSS-IMU and other aiding sensor data to compute forward-reverse processing, run smoother processing to compute smoothed states, write a Smoothed Best Estimate of Trajectory (SBET) file, and generate Quality Control (QC) reports. The QC reports were reviewed with special attention paid to error RMS from each of the north, east, and down positions as referenced by smoothed performance metrics; Position Dilution of Precision (PDOP) error caused by the relative position of the satellites; and the forward-reverse separation throughout the flight as refined by PP-RTX. Upon satisfactory review, an SBET file was exported from POSPac MMS using the default World Geodetic System 1984 (WGS 84) method where the position data was referenced to the ITRF00 datum with an epoch targeting the mission date. An ITRF (International Terrestrial Reference Frame) is a realization of the ITRS (International Terrestrial Reference System) which through various scales, rotations, and rates applied to its origin are updated for geodetic use as time goes on by producing new solutions every few years. Over time, the WGS 84 reference coordinate system used by the Global Positioning System (GPS) has had several re-adjustments to keep it in line with ITRF updates. POSPac MMS transformations are based on the NNR-MORVEL56 (No-Net-Rotation Mid-Ocean Ridge VELocity) tectonic plate model. NNR-MORVEL56 is a set of angular velocities that describe the motions of 56 plates relative to a no-net-rotation reference frame. This SBET file was then transformed from the ITRF00 datum with an epoch corresponding to the mission date to the North American Datum of 1983 (NAD83) and the North American tectonic plate coordinates realized from the National Adjustment of 2011, or NAD83 (2011) at the 2010.00 epoch. The National Geodetic Survey (NGS) has produced several adjustment realizations to NAD83, including NAD83 (2011). While WGS 84 is updated to match ITRF realizations, NAD83 is tied to the North American tectonic plate where its coordinates have been gradually drifting farther from the WGS 84 and ITRF adjustments with the passage of time. Trajectories were transformed into positional coordinates using the HTDP (Horizontal Time-Dependent Positioning) software to maintain consistency with the NGS (National Geodetic Survey) reference to the North American Datum of 1983 (NAD83) and the North American tectonic plate coordinates realized from the National Adjustment of 2011, or NAD83 (2011). Horizontal positions, provided in decimal degrees of latitude and longitude, are referenced to NAD83 (2011) at the 2010.00 epoch. NGS hybrid geoid model GEOID12B was used to transform the vertical positions from ellipsoidal heights to orthometric heights referenced to the North American Datum of 1988 (NAVD88). processStep: (LI_ProcessStep) description: The copy of the raw CASI-1500 data was transferred to a Windows PC capable of running Hydrofusion software. Hydrofusion is a GUI interface that allows the user to set parameters as input to the ITRES command line tools. Raw data was radiometrically corrected using ITRES' RADCOR tool. The resulting output is a radiometrically corrected *.pix image file and a *.att navigation information file. processStep: (LI_ProcessStep) description: SBET data was converted to a format recognized by ITRES' navigation tools using MAKEGPS. Furthermore, navigation correction was achieved using ATTSYNC, FORMNAV, NAVCOR and NAV2ASC tools. Descriptions of these tools are out of scope for this metadata. More information can be found on ITRES' website, itres.com. processStep: (LI_ProcessStep) description: The unrectified PIX image and navigation files were then used to create geospectral coordinates using ITRES's GEOCOR utility in Hydrofusion. The image pixel data was atmospherically corrected, had glint reduction applied, color balanced, and mosaicked. Hydrofusion algorithms use a combination of TAFKAA and a proprietary Down Scattering Angle for atmospheric correction. Each pixel is then placed into the mosaic based on it's geospectral coordinates and whether the pixel is land based or water based. Land-based pixels are placed according to closest to Nadir where as water-based pixels paricularily in overlap regions can be selected as optional brightest, darkest or last-in pixels. Finally, if multiple data collections occur in a flight block, mosaics from each data collection are merged using a collection of L3Harris ENVI mosaic tools. processStep: (LI_ProcessStep) description: Export and merged mosaics were used to create image footprint shapefiles on a block by block basis. Image footprint shapefiles were used to extract 1 km MGRS grid cells. Finally, the block mosaic was clipped to each representative 1km MGRS grid. The mosaic image tiles were simultaneously compressed using Geospatial Data Abstraction Library (GDAL) tools by applying the LZW lossless compression method. The compressed mosaic image files were finalized using GDAL and the Esri ArcGIS Desktop software package. GDAL was also used to calculate statistics and build pyramids internally using the accepted Cloud Optimized TIFF format, while ArcGIS was used to create metadata for each image tile. processStep: (LI_ProcessStep) description: The NOAA Office for Coastal Management (OCM) received 510 img files (Blk 24426 - 224, Blk 24427 - 122, Blk 24428 - 40, Blk 24429 - 124) from USACE JALBTCX for the area around Lake Seminole in Georgia and Florida. The data were in UTM Zone 16 (NAD83 2011) meters coordinates. NOAA OCM converted the data to GeoTIFF format using an internal script and processed the data to the NOAA Digital Coast Data Access Viewer (DAV) to make the data publicly available for bulk and custom downloads. dateTime: DateTime: 2025-06-20T00:00:00 processor: (CI_ResponsibleParty) organisationName: Office for Coastal Management role: (CI_RoleCode) processor source: (LI_Source) description: Source Contribution: 7225 STENNIS AIRPORT RD STE 100 Kiln, MS 39556 JALBTCX@usace.army.mil 228-252-1131 sourceCitation: (CI_Citation) title: USACE JALBTCX date: (missing) citedResponsibleParty: (CI_ResponsibleParty) positionName: Data Production Manager role: (CI_RoleCode) originator sourceExtent: (EX_Extent) temporalElement: (EX_TemporalExtent) extent: TimeInstant: timePosition: 2024 | |