Use of remote sensing indicators to assess effects of drought and human-induced land degradation on ecosystem health in Northeastern Brazil

Here is some Python code and Jupyter notebooks for my paper published in Remote Sensing of Environment. https://www.sciencedirect.com/science/article/pii/S0034425718302050

Denis A. Mariano, Carlos A.C. dos Santos, Brian D. Wardlow, Martha C. Anderson, Allie V. Schiltmeyer, Tsegaye Tadesse, Mark D. Svoboda, Use of remote sensing indicators to assess effects of drought and human-induced land degradation on ecosystem health in Northeastern Brazil, Remote Sensing of Environment, Volume 213, 2018, Pages 129-143, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2018.04.048. (http://www.sciencedirect.com/science/article/pii/S0034425718302050)

The code is not organized, it is old and messy, but there is a bunch of good techniques here, like image mosaicking, Theil-Sen trend calculation, Mann-Kendall trends detection, time-series Zscores, Modis Terra and Aqua merging, precipitation anomalies and much more.