LandsatLinkr was developed in the R programming language and is run with a single function call to provide easy use for users across the whole range of R experience. Landsat images from MSS, TM, ETM+, and OLI sensors are downloaded and placed into a specific directory structure and then run_landsatlinkr() is typed into the R console command line. A few questions are interactively asked of the user regarding what process to run and where the downloaded image data resides. Upon execution of the program, LandsatLinkr will automatically run through all procedures for a given step defined in the LLR workflow (figure below) for all images in a given directory. For a detailed description of each procedure see the function links below the workflow diagram.

LLR procedures - click on function buttons for more information

Step 1: Prepare MSS imagery

	Untar/unzip, reproject/resample, stack MSS images
	Improve georegistration for select MSS images
	Convert MSS image reflectance units from DN to top-of-atmosphere reflectance
	Apply DOS atmospheric correction and convert reflectance units from DN to surface reflectance
	Make cloud and shadow masks for MSS imagery

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Step 2: Prepare TM/ETM+ imagery

Untar/unzip, reproject, stack, and apply Tasseled Cap transformations

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Step 3: Prepare OLI imagery

Untar/unzip, reproject, and stack OLI L8SR imagery

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Step 4: Calibrate MSS to TM

Spectrally calibrate MSS images to TM images

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Step 5: Calibrate OLI to ETM+

Spectrally calibrate OLI images to ETM+ images

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Step 6: Create image composites

Create cloud-free yearly image composites

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