Spectral Models for Crop State Assessment Considering Soil and Anthropogenic Impacts

In the contemporary world aerospace information gathered by different sensors and numerous observation missions has become a genuine necessity in various investigation and application fields. Remote sensing technologies are used for natural resources management, ecosystem change detection, environment preservation and in many other world significant problems. Vegetation monitoring is among the priorities of remote sensing being associated with plant growth assessment, stress detection, yield forecasting. This paper is devoted to the relationship between agricultural vegetation spectral and biophysical features with consideration of plant growth conditions. The influence of soil properties and anthropogenic factors (fertilization, heavy metal pollution) on crop spectral response has been examined in relation to the applicability of spectral models to estimate plant variables and assess crop state.