2024 USACE SAM Hyperspectral Imagery: Lake Seminole (AL, FL, GA)

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.

These data were collected by the USACE in support of NCMP to obtain imagery of conditions along the coasts of Florida and Georgia.

Acknowledgement of the Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX) would be appreciated in any publications or derived products.

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.

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.

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.

Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.1.0.3035

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.

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.

Every effort within operational constraints was made to acquire data that meets specifications as outlined in this project's Statement of Work.

JALBTCX evaluates final data coverage using techniques that are common to the imagery industry. These techniques included visual review of the final data coverage and verification of the data alongside lidar elevation data collected concurrently with the imagery.

During inspection and quality control of the imagery data, flightline to flightline accuracies met specifications.

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.