Special features of grain crops spectral analysis using UAV

Abstract

The monitoring of the agriculture fields vegetation state is a significant step in using of remote sensing for precision agriculture. No traditional airborne platforms like aircrafts and commercial satellites fit these uses because of their low resolution images. The problem can be solved by using UAVs. In this article, UAV being equipped with visible spectrum camera was used to produce an image of the wheat field in tillering phase. Due to the high image resolution on photo image soil is also fixed as well as the plants. It will affect on the total spectral indicators of the planted area. The aim of the study is to develop a methodology of distinguishing the wheat area from the soil area on photo images. Experiments were carried out within 40 – 100 m UAV’s heights range for different states of soil – arable seedbed and dry dirt road. It has been established that it is important for f arable land being mostly fixed for sowings and, accordingly, the adjustment of filters should be carried out for each height monitoring apartly. While selecting optical range filtration canal to distinguish plants from the soil while being analyzed by separated pixels of image it would be appropriate to use green and blue canals.