Drought hazard assessment - ZFL
Part A: Software installation and data access
Part A describes the software and data acquisition and preparation. It includes instructions for the software installation and data access, specifications on data selection and detailed downloading procedures.
It should be noted that during the data acquisition in the Part A: Step 5: Select MODIS data when selecting the date of interest for MODIS data from the Application for Extracting and Exploring Analysis Ready Samples (AρρEEARS), the dates of interest should be selected 16 days later than needed because appEEARS downloads usually one data more before the date chosen by the user for example; 16th of January should be selected as the starting date instead of 1st of January, the data for the 1st will be automatically added to the request and 16th of July should be selected as the starting date instead of 1st of July as the 1st will also be added automatically.
Part B: Agricultural Drought hazard assessment
Part B gives instructions on how to prepare and run the R Code and TIMESAT software for the EVI phenology and VCI output. This part’s final product is an agricultural drought hazard classification using a weighted linear combination of EVI phenology and VCI.
Download R script (Part A and B) in txt format here. You can copy the text to R Studio and save it as an R file.
Estimation of the number of people affected by agricultural drought in Eastern Cape, South Africa - UNU-EHS
Part C: Data access and preparation
Part C describes the data acquisition and preparation for part D. It includes instructions for the download of land cover data, census data and some preparatory steps such as clipping the land cover map.
Download R script (Part C and D) in txt format here. You can copy the text to R Studio and save it as an R file.
Part D: Measurement of the SFDRR indicator B5 for agricultural drought
In part D the results of Part B are combined with land cover information, agricultural statistics and census data from Part C. From the land cover map crop and grasslands are extracted and clipped with the hazard map of 2015. On the local municipality level, the hectares of crop and grassland affected per hazard class are extracted and multiplied with the density of crop and livestock farmers. The final result is the number of livestock and crop farmers affected by drought for the year 2015.
