The Mann-Kendall trend test has become popular in the remote sensing community to test whether a time series of satellite observations is consistently increasing or decreasing. In this post, I developed a function in R that can take in raster stacks or bricks to perform the Mann-Kendall trend test and calculate its statistical significance (p values).
Behind the Paper: Testing a new satellite-derived vegetation index in a new biome
The last chapter of my PhD dissertation was published earlier this year in the International Journal of Applied Earth Observation and Geoinformation. From conception to publication, this paper took about two-and-a-half years of work. It signifies the end of my PhD era, so to speak. The idea came from my supervisor, who suggested that testing the relatively new Plant Phenology Index (PPI) in semi-arid biomes would be a worthwhile cause because its only been evaluated in the boreal biome.