THE ROLE OF TRADITIONAL AND INNOVATIVE METHODS IN GEOBOTANICAL RESEARCH OF PASTURE

Abstract

It is critical in managing pasture to assess quantity and quality of pasture precisely and on time using satellite data. Remote data can be used to predict the quantity and quality of pastures. This study is used to predict various pasture quality and quantitative parameters by using Sentinel-2 multispectral lines collected from proximal hyper spectral data. Sentinel-2 is used to implement data and calculate standardized difference of indices. The adequacy of these indices was assessed to predict pasture parameters.