2018 Hyperspectral 32 Bit Imagery: St. Louis River Estuary, WI

Below are links to the files that make up the 2018 Hyperspectral 32 Bit Imagery: St. Louis River Estuary, WI dataset. This HTML file is here to emulate the access you would have gotten through an ftp site. The files containing geospatial indices, metadata, etc., are listed first, followed by the files. To download in bulk, it is suggested you use a program such as wget (example below). The geospatial index file in shapefile format has a URL attribute that some GIS programs can use to download files. You can also subset the data, make derived products, and change projection, datum, etc., using the Digital Coast Data Access Viewer (add to cart, the link to bulk download will take you here).

Example to download entire data set using wget (note: sufficiently new and trusted pre-compiled Windows versions can be hard to find):
wget -np -r -nH -L --cut-dirs=3 https://chs.coast.noaa.gov/htdata/raster1/imagery/GL_SLRE_HSI_2018_8753/
This will give you the directory structure starting with GL_SLRE_HSI_2018. Modify the --cut-dirs=3 argument to modify the start directory (e.g. --cut-dirs=2 will start at imagery). Wget is a command-line program and the output will be to the directory you run it in. More options and information can be found at https://www.gnu.org/software/wget/manual/wget.html. The other options in the example mean:


If you have problems with wget that look like an authorization or certificate issue, you may need to add the option "--no-check-certificate". Windows users may want to install the Windows Subsystem for Linux to get a current wget.

You can also use the uGet program with the list of URLs in file urllist8753.txt. More information on using uGet is in the Bulk Lidar Download GeoZone blog post.

The total size to download all the files is 53G.

If you need FTP access instead of HTTPS, use ftp://ftp.coast.noaa.gov/pub/DigitalCoast/raster1/imagery/GL_SLRE_HSI_2018_8753/

Meta Info


Tile Index: tileindex_GL_SLRE_HSI_2018.zip
Metadata: 2018_HyperspectralImagery_m8753_met.xml
URL list: urllist8753.txt

VRTs

Virtual Raster Tables (VRTs) can be used to reference the entire data set. Software packages that incorporate GDAL can reference the data by prepending /vsicurl/ to the URL of the VRT. Multiple VRTs generally indicates there are multiple projection systems in the dataset.

VRT file: GL_SLRE_HSI_2018.vrt

All Files

Final Report Project NIGHTHAWK.pdf
Galileo NIGHTHAWK Post-Flight Aerial Acquisition and Calibration Report v3.docx
GPS_Points
GPS_Points/index.html
GPS_Points/NIGHTHAWK_Ground_Truthing_Points.gpx
GPS_Points/NIGHTHAWK_GT_Points.cpg
GPS_Points/NIGHTHAWK_GT_Points.dbf
GPS_Points/NIGHTHAWK_GT_Points.prj
GPS_Points/NIGHTHAWK_GT_Points.sbn
GPS_Points/NIGHTHAWK_GT_Points.sbx
GPS_Points/NIGHTHAWK_GT_Points.shp
GPS_Points/NIGHTHAWK_GT_Points.shx
NIGHTHAWK_Spectrometer_Ground_Truthing_Index.xlsx
SLRE_Atmospheric_Correction_Site1_Reading1.txt
SLRE_Atmospheric_Correction_Site3_Reading1.txt
SLRE_Bulrush_Reading0.txt
SLRE_Bulrush_Reading1.txt
SLRE_Bulrush_Reading2.txt
SLRE_Bulrush_Reading3.txt
SLRE_Bulrush_Reading4.txt
SLRE_Bulrush_Reading5.txt
SLRE_R1C3.tfw
SLRE_R1C3.tif
SLRE_R1C3.tif.xml
SLRE_R1C4.tfw
SLRE_R1C4.tif
SLRE_R1C4.tif.xml
SLRE_R1C5.tfw
SLRE_R1C5.tif
SLRE_R1C5.tif.xml
SLRE_R2C3.aux
SLRE_R2C3.tfw
SLRE_R2C3.tif
SLRE_R2C3.tif.xml
SLRE_R2C4.tfw
SLRE_R2C4.tif
SLRE_R2C4.tif.xml
SLRE_R2C5.tfw
SLRE_R2C5.tif
SLRE_R2C5.tif.xml
SLRE_R3C1.tfw
SLRE_R3C1.tif
SLRE_R3C1.tif.xml
SLRE_R3C2.tfw
SLRE_R3C2.tif
SLRE_R3C2.tif.xml
SLRE_R3C3.tfw
SLRE_R3C3.tif
SLRE_R3C3.tif.xml
SLRE_R3C4.tfw
SLRE_R3C4.tif
SLRE_R3C4.tif.xml
SLRE_R3C5.tfw
SLRE_R3C5.tif
SLRE_R3C5.tif.xml
SLRE_R4C1.tfw
SLRE_R4C1.tif
SLRE_R4C1.tif.xml
SLRE_R4C2.tfw
SLRE_R4C2.tif
SLRE_R4C2.tif.xml
SLRE_R4C3.tfw
SLRE_R4C3.tif
SLRE_R4C3.tif.xml
SLRE_R4C4.tfw
SLRE_R4C4.tif
SLRE_R4C4.tif.xml
tile_extents_m8753.dbf
tile_extents_m8753.prj
tile_extents_m8753.shp
tile_extents_m8753.shx

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