ANALYSIS OF THE INFLUENCE OF CLIMATE FACTORS ON DIFFERENT CROPS USING MULTIVARIABLE ANALYSIS AND REMOTELY SENSED DATA
Phenology modeling of the most common agricultural cultures based on time series of high spatial
resolution satellite imagery and vegetation indices was conducted for several crop types. This data
was used as an indicator of crops state in the multivariable correlation model as dependent variables.
The influence of climate factors (temperature, air pressure, precipitation, insolation, cloudiness and
humidity) on crops state was determined using multivariable correlation. This model allows
prediction of delayed influence of climate factors on plant health and state through the values of