Results of using geoinformation and statistical analysis methods to study spectral reflectance characteristics of agricultural crops of Belarus

The results of using geoinformation and statistical analysis methods to study spectral reflectance characteristics the nine most typical agricultural crops Belarus are presented. Spectral brightness coefficients normalised difference vegetation index (NDVI) values were extracted from Landsat-8 multispectral satellite images in software package ENVI (version 5.2) analysed based on zonal statistics complex ArcGIS 10.2) mathematical program Statistica 10). verification data with corresponding field measurements was carried out basis correlation analysis, namely, a reliable strong positivelinear relationship between measured by specialised GreenSeeker instrument NDVI calculated established. character distribution average depending type crop assessed dispersion which allowed revealing patterns hidden data. In particular, after applying procedure multiple comparisons post hoc tests, it established types significantly differ each other for dates these differences observed. obtained scientific systematised presented form correspondingtables. contained tables made possible improve methodology automated recognition considered study.