ABSTRACT

Scientists have been developing techniques for producing precipitation maps in support of rainfall monitoring mainly in areas where surface rainfall measurement data are scarce. The Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) is a dataset of precipitation data in regions of the Earth with more than 35 years of data time series. The objective of the homework is to obtain CHIRPS rainfall data to perform spatio-temporal mapping of rainfall in the Sulsiani watershed in Mali, Africa. Solved exercises are designed to elucidate remote sensing and digital image processing applications for water studies, types of radiance involved in monitoring, and spectral indices that can be used to separate water and terrain from thresholds.