Remote sensing application for agricultural monitoring and yield assessment

This project aims to investigate the potential application of remote sensing techniques in agricultural monitoring and yield assessment. Nowadays agriculture and food security have become an acute issue throughout the world. And since the population is growing,the importance of food production is increasing as well. New ways of cropland monitoring and management should be introduced in order to meet food demand in the future. In this context methods of remote sensing analysis play an important role in agricultural monitoring systems. Nowadays there are a variety of satellites characterized by different spatial resolution and coverage, sensitivity and accuracy, the number of sensors and frequency of observation. Remote sensing data is a highly useful tool for cropland monitoring and for an assessment of spatial variability of the crop productivity.

Within this project, some free data such as Sentinel-2 and Landsat-8 and images from commercial satellites (RapidEye) have been analyzed. GIS technology and analysis techniques provide detailed information about crop condition, soil moisture and vegetation health. Remotely collected data can be used for a wide range of purposes such as crop type identification, mapping of cropland boundaries and monitoring of a crop growth process.