A collection of utilities for averaging, color correcting, and removing artifacts from satellite images. It complements GDAL and landsat util.
Schooner-tk requires OpenCV 3. To install OpenCV 3 on OSX, use Homebrew:
brew install opencv3unless you want to fight with CFLAGS, LDLIBS, and PKG_CONFIG_PATH go ahead and link opencv3
brew link opencv3 --forceBe forewarned this will mess with anything that relies on opencv 2.
For linux distributions, use apt-get, pacman, yum, or whichever package manager is preferred.
Once OpenCV is installed, clone the repository.
git clone git@github.com:propublica/schooner-tk.git
cd schooner-tkUse make to compile and install schooner.
make && make installOnce installed, each command can be called from your terminal with:
schooner-<utilityname>schooner-blend averages multiple datasets together on a per pixel basis
in order to remove temporary artifacts such as small clouds, airplane
contrails, and sensor malfunctions.
Each input dataset must be the same size and in the same projection.
schooner-cloud creates a cloud and snow mask from a Landsat 8 Quality
Assessment band.
schooner-contrast attempts to automatically color correct a landsat image.
It uses two algorithms, the first is CLAHE (Contrast Limited Adaptive Histogram
Equalization) which attempts to color correct an image while improving the
local contrast of the image.
The other is simple histogram stretching and clipping. The tool calculates a histogram by band, and stretches the raster values to the range 0 to 255. It also discards the top and bottom 0.05% of values.
schooner-multibalance automatically corrects each band of many datasets so
that each dataset has a similar color profile. This is useful as a preprocessing
step to schooner-blend.
schooner-stitch seamlessly stitches multiple images together.
For more detail, please see the official documentation. For an example of a schooner-powered workflow, see jqtr.de/schooner/.