PERSIANN, which stands for Precipitation Estimation from Remote Sensing Information using Artificial Neural Networks, is a system developed for estimating precipitation using satellite-based data. It leverages artificial neural networks to analyze and interpret remote sensing data, such as infrared satellite imagery, in order to provide estimates of rainfall and precipitation patterns. PERSIANN is particularly useful for regions where traditional ground-based precipitation measurements are scarce or unavailable.
Articles by others on the same topic
There are currently no matching articles.