In mid-September I got an email that said “ditt arbete med Birding Therapy som en av de nominerade av Årets Miljöhjälte i kategorin biologisk mångfald” (your work with Birding Therapy is one of the nominees for this year’s Environmental Hero award in the biodiversity category"). At first I didn’t know what to think and thought it was a phishing/malware type of spam. But then it sunk in that this is real, and it’s difficult to put into words how I felt. I didn’t think that anyone was paying attention to the small side project I started to get more people, particularly underrepresented groups, out into nature and birding.
My TEDx talk is now available on YouTube. The basic premise of the talk is that when you put all the recent advances in perspective, it results in a democratization of data on one hand, and science on the other. It means that anyone with a computer and a decent internet connection can have access to satellite data, process them using open source methods and extract information for their own use. This not only helps accelerate the rate at which scientific discoveries are made but also makes knowledge sharing and international development more equitable and inclusive.
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).