ASSESSMENT OF THE AGRICULTURAL VEGETATION DYNAMICS OF THE KARASAI DISTRICT (ALMATY REGION) BASED ON MULTISPECTRAL IMAGES

The article contains the results of research and development, which can be considered as a solution to the scientific problem concerning the selection and development of methods of decoding the occurring at different times series of multispectral images for monitoring and evaluation of the dynamics of agricultural plants of Karasai district of Almaty region. The methods of pretreatment of multispectral imagery of medium spatial resolution (LANDSAT-7,8) based on structural and spatial model allows to more efficiently decrypt the agricultural plants of Karasai district of Almaty region in comparison with the classification of the original zonal images. The reliability of decryption by using the structural and spatial model is increased by an average of 16%. Experiments on classification of agricultural plants of Karasai district of Almaty region according to multispectral imagery by means of structural and spatial models have shown the ability of decrypting alpine forests, mixed forests, bushes that are in the rivers basin and forest covers, cultural lands of gardeners, agricultural lands especially rain-fed and irrigated lands with a sufficient reliability level. The obtained results of decrypting the agricultural plants according to the occurring at different times multispectral images LANDSAT-7, 8 provide an ability to create and update maps of vegetation, scale 1: 100 000, and also create the maps of vegetation dynamics, scale 1: 100 000. Spectral analysis of agricultural plants of Karasai district of Almaty region showed that the most informative areas of agricultural land especially the rain fed and irrigated land are green and middle infrared band.