There is a UkraineCrops pkgdown
site with vignettes.
Michael Wellington, Australian National University & CSIRO, Email: Michael.Wellington@anu.edu.au
Roger Lawes, CSIRO, Email: Roger.Lawes@csiro.au
Petra Kuhnert, CSIRO Data61, Email: Petra.Kuhnert@data61.csiro.au
This repo contains all data and code used to analyse Ukraine grain supply in 2022 as outlined in Wellington et al. (2022). The code appears in three vignettes that outline the NDVI analysis and code for visualising cropland fire area percentages and mapping shipping movements. As the cargo shipping data is very large, we direct readers to the following download site, where the data can be downloaded in .tif format.
UkraineCrops is licensed under GPLv3. Please see details at CSIRO's Data Access Portal.
Wellington et al., (2022). UkraineCrop: an R package housing reproducible code to support a paper that analyses satellite images of cropland in Ukraine to investigate progress of the 2022 season.
Wellington, M., Lawes, R., Kuhnert, P. (2022) Rapid monitoring of crop growth, grain exports, and fire patterns in Ukraine, Nature Food, Under Review.