Achasova A. O.

AGRICULTURAL LANDSCAPES FORMATION Purpose. To characterize the methodological approaches that we develop in the formation of a system of information support for the creation and maintenance of the functioning of modern sustainable agricultural landscapes and to show the results of their implementation on the example of the territory of some agricultural enterprises of the Kharkiv region. Methods. Cartographic, geoinformation analysis, calculation, statistical and mathematical. Results. Some results of the work of the collective on the issues of information support for the creation and maintenance of the functioning of modern sustainable agricultural landscapes. Namely, verification of erosion models, studies of the functionality of shelter belts, the formation of an agroeconet (an extensive network of natural and quasi-natural landscapes) on agricultural land massifs, which ensures the maintenance of stable functioning of meso and macrolevel agrolandscapes, as well as the experience of using magnetic prospecting methods to verify the results of mathematical modeling of erosion processes. Conclusions. A number of methodological approaches to information support of the formation of sustainable agricultural landscapes in the natural and socio-economic conditions of Ukraine have been developed. They relate to the functioning of anti-erosion measures of permanent action, the processes of modern transformation of agro-landscapes, the ecological impact of erosion processes on the environment. The connection between the length of forest belts per unit of arable land and soil erosion is shown. A methodical approach has been developed to estimate the amount of soil washed away from arable land and to calculate the measures necessary to eliminate its harmful effects on the environment.

Purpose: analysis of the features of visual decoding of eroded soils and erosion processes according to remote sensing data. Methods. Remote sensing, field, comparative geographical, historical, cartographic, GIS analysis. Results. The main attention in the article is paid to the features of visual decoding of linear forms of ero-sion. Comparative analysis of aerial photographs of 1943 and modern satellite imagery for the Kharkov region shown that in the second half of the 20th century the growth of gullies was almost stopped due to large-scale anti-erosion measures carried out at that time. Currently the main erosion losses occur in sheet erosion and small gully erosion. The article provides a list of decoding features that determine linear forms of erosion in the imag-es. It is shown problems that can arise during automatic decoding. As an example of artifact formations requiring the participation of a human analyst in the decryption process, the so-called "Turkish Wall" is shown, the traces of which can be erroneously diagnosed as a manifestation of linear erosion Conclusions. Automatic decoding of water erosion processes and an inventory of erosion landforms re-quires the obligatory monitoring of a qualified analyst to eliminate object identification errors.

Soil erosion is a major factor in their economic and environmental degradation. Protection of land from ero-sion is characterized by insufficient methodological support at the local territorial level. Purpose. To reveal the advantages and disadvantages of the current state of anti-erosion design on the example of a particular agricul-tural enterprise. Methods. Cartographic, with application of geoinformation technologies, computational, statis-tical and mathematical. Results. On the example of one of the private farms of the Kharkiv region, the draw backs of the existing structure of the crops area of agricultural crops in the anti-erosion aspect are shown. It was optimized taking in to account the specialization of the economy. The soil was washed out in different scenarios of land use. The introduction of erosion-optimized crop rotation allows to reduce the forecast of soil fault in field crop rotation by 1.3 times. Conclusions. The structure of the crop area of agricultural crops, even meeting the formal requirements of normative acts, does not provide adequate protection against water erosion. It requires additional expertise using mathematical models of erosion. Minor deviations from the recommended standards of permissible flushing can be adjusted by means of agrotechnical measurеs, significant – additional organizational and agronomic measures.

Purpose. To work out methodological approaches to the use of quadcopters for weeds assesment. Methods. The shooting was carried out using DJI Phantom Vision 2+ and LadyBug Copper Dot. The LadyBug was shoted in the visible and near-infrared range using the 12-megapixel S100 NDVI UAV-Kit camera with elevations: 20 m, 40 m and 60 m. The DJI Phantom Vision 2+ was shot in the visible range of the GoPro 14 megapixel camera altitudes: 10 m, 15 m, 30 m and 60 m. Decryption of photographs was carried out using the controlled classification method in QGIS and TNTmips programs. Weed accounting was performed on control sites 1m2 by weight method, taking into account their qualitative composition. Results. It is shown that the best results of weed recognition during decoding of images was obtained by the use of controlled classification according to the maximum likelihood method under conditions of shooting from heights up to 40 m. In order to improve the recognition of weeds and separate their image from images of cultivated plants, it is expedient to use the object-oriented analysis. At the stage of sunflower budding, about 30% of the weeds are closed from the remote observation, which led to an automatic underestimation of number of weeds. Conclusions. In order to evaluate the crop contamination, it is possible to successfully use the data from UAVs in a visible range of electromagnetic waves under low altitudes (up to 40 meters) and the use of a controlled classification method for decoding images. For the recognition of weeds, the images in the infrared range do not have advantages over images in the visible range. It is necessary to additionally apply ground-based control of weeds to assess the proportion of "hidden" from remote observation of weeds.

Purpose. Evaluate the use kvadrokopteriv for evaluation of weed-infested crops of sunflower. Methods. Aerial survey using drones, object-oriented image analysis. Results. In the article are given the results of as-sessment of a contamination of crops of sunflower by results of decryption of the pictures made by means of the UAV in the visible range.It is shown that the best results of decoding of photo-images are received when using supervised classification by a method of the maximum plausibility. Conclusions. For improving of recognition of weeds and separation of their image from images of cultural plants it is expedient to use the object-oriented analysis.

The possibility of geoinformation terrain analysis using for the purpose of spatial estimation of soil moisture is shown. The analysis of the individual parameters of the relief affecting the spatial heterogeneity of topsoil moisture. It is proved that the coefficient of xeromorphic most suitable for the prediction of automorphic soil moisture.