Open AccessSpectral properties of soils and agricultural crops for analysis of satellite images of the Akmola region
Author(s) -
Akbota Yerzhanova,
S.E. Kerimkulov
Publication year - 2021
Publication title -
k̦azak̦ bas sa̋ulet-k̦u̇rylys akademiâsynyn̦ habaršysy/k̦azak̦ memlekettìk sa̋ulet-k̦u̇rylys akademiâsynyn̦ habaršysy
Language(s) - English
Resource type - Journals
eISSN - 2788-6948
pISSN - 1680-080X
DOI - 10.51488/1680-080x/2021.1-41
Subject(s) - soil water , vegetation (pathology) , satellite , brightness , agriculture , wavelength , environmental science , range (aeronautics) , remote sensing , soil science , geology , geography , materials science , physics , optics , medicine , archaeology , pathology , astronomy , composite material
This paper considers the spectral properties of soils and vegetation and their analysis for further application of the results of the article for processing satellite images. Basically, the soils and soils of the Akmola region and agricultural crops inherent in this region are considered. When analyzing the spectral brightness coefficient (SCR), there are differences in the SCR of soils of different types and vegetation. Based on the results of data analysis, the following conclusions were obtained: soil recognition is informative in the wavelength range from 700 nm to 1300 nm; crop recognition is informative in the wavelength range from 850 nm to 1100 nm. When developing an object recognition algorithm, two fixed points of 0.55 microns and a point of 0.66-0.68 microns will be considered for the presence of extremes to determine the type of object.