2020 NOAA NGS DSS Natural Color 8 Bit Imagery: Brownsville, TX

Below are links to the files that make up the 2020 NOAA NGS DSS Natural Color 8 Bit Imagery: Brownsville, TX 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/raster4/imagery/BrownsvilleTX_RGB_2020_9070/
This will give you the directory structure starting with BrownsvilleTX_RGB_2020. 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 urllist9070.txt. More information on using uGet is in the Bulk Lidar Download GeoZone blog post.

The total size to download all the files is 2.4G.

If you need FTP access instead of HTTPS, use ftp://ftp.coast.noaa.gov/pub/DigitalCoast/raster4/imagery/BrownsvilleTX_RGB_2020_9070/

Meta Info


Tile Index: tileindex_BrownsvilleTX_RGB_2020.zip
Metadata: tx2001_bmhw_rgb.xml
Metadata: 2020_NGS_NaturalColorImagery_m9070_met.xml
URL list: urllist9070.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: BrownsvilleTX_RGB_2020.vrt

All Files

652500e2875000n.tif
655000e2870000n.tif
655000e2872500n.tif
655000e2875000n.tif
655000e2877500n.tif
657500e2867500n.tif
657500e2870000n.tif
657500e2872500n.tif
657500e2875000n.tif
657500e2877500n.tif
660000e2870000n.tif
660000e2872500n.tif
660000e2875000n.tif
660000e2877500n.tif
660000e2880000n.tif
662500e2870000n.tif
662500e2872500n.tif
662500e2875000n.tif
662500e2877500n.tif
662500e2880000n.tif
662500e2882500n.tif
665000e2872500n.tif
665000e2875000n.tif
665000e2877500n.tif
665000e2880000n.tif
665000e2882500n.tif
667500e2872500n.tif
667500e2875000n.tif
667500e2877500n.tif
667500e2880000n.tif
667500e2882500n.tif
667500e2885000n.tif
670000e2875000n.tif
670000e2877500n.tif
670000e2880000n.tif
670000e2882500n.tif
670000e2885000n.tif
672500e2877500n.tif
672500e2880000n.tif
672500e2882500n.tif
672500e2885000n.tif
672500e2887500n.tif
675000e2877500n.tif
675000e2880000n.tif
675000e2882500n.tif
675000e2885000n.tif
675000e2887500n.tif
677500e2880000n.tif
677500e2882500n.tif
677500e2885000n.tif
677500e2887500n.tif
677500e2890000n.tif
680000e2880000n.tif
680000e2882500n.tif
680000e2885000n.tif
680000e2887500n.tif
680000e2890000n.tif
680000e2892500n.tif
682500e2882500n.tif
682500e2885000n.tif
682500e2887500n.tif
682500e2890000n.tif
682500e2892500n.tif
685000e2882500n.tif
685000e2885000n.tif
685000e2887500n.tif
685000e2890000n.tif
685000e2892500n.tif
687500e2885000n.tif
687500e2887500n.tif
687500e2890000n.tif
687500e2892500n.tif
tile_extents_m9070.dbf
tile_extents_m9070.prj
tile_extents_m9070.shp
tile_extents_m9070.shx
tx2001_bmhw_rgb_metadata.met

Page owned by NOAA Office for Coastal Management. Last updated: Thu Dec 1 07:38:30 EST 2022