A set of tools for working with Landsat 8 data
Much thanks for the work over at mapbox. There post helped get me started:
https://www.mapbox.com/blog/processing-landsat-8/
###Background###
The Landsat program is way awesome, and run by the United States Geological Service (USGS)
###Setup###
We need to install Python 2.7 first. Then do these things:
> sudo apt-get install imagemagick
Then clone this repo:
> git clone https://github.com/thequbit/landsat8tools
###USGS Earth Explorer Credentials###
You will need a login for the USGS Earth Explorer software to use these tools. You can get a login by going here:
http://earthexplorer.usgs.gov/
Once you have created a login, you can continue the next section.
###Quick And Dirty###
You can give some of the pre-made scripts a try:
This will pull down 41 images for up-state NY
> python roc.py
This will pull down a single image for Newtown, CT
> python newtown.py
This will pull down 20 images for Boston, MA
> python boston.py
###Hacking Instructions###
First, edit the "creds.txt" file to be your username and password for earth explorer.
There are three steps: download, uncompress, make RGB, and make preview. Here is how you can use the files from the command prompt:
First, we need to download the image archive:
> python download.py LC80160302014073LGN00
Second we need to uncompress the archive:
> python uncompress.py LC80160302014073LGN00
Third, we need to convert the individual images into a single RGB image:
> python makergb.py LC80160302014073LGN00
Lastly, we can make a preview JPG that is much smaller and easier to manage (usually less than 15MB):
> python makepreview.py LC80160302014073LGN00
The output of these commands will be a folder called LC80160302014073LGN00. In that folder there will now be a number of files.
NOTE: Each image set (archive) will take about 4GB of data on your drive. Plan accordingly.