Mapping the current state and structure of agroforestry landscapes in the south-east of the Rostov region using remote sensing data

Introduction. The state of agroforestry landscapes is largely determined by the degree of degradation of their components, including soils and protective forest plantations. In this regard, a modern determination of the characteristics of the components of agricultural landscapes is necessary, since the productivity of agricultural land depends on their condition. Forest plantations in agroforestry landscapes play the role of protecting soils from degradation and increasing the productivity of agricultural products.
Object. The object of the study was agricultural land and protective forest plantings in the Remontnensky district of the Rostov region.
Materials and methods. Identification of the current state and structure of agroforestry landscapes in the study area is based on the methodology of using geoinformation technologies for spatial analysis of the state of landscapes using earth remote sensing data. The research was carried out based on survey data from the Sentinel-2 and Landsat-5 satellites. Data visualization and calculation of geomorphological and morphometric characteristics were carried out using the QGIS 3.32 geoinformation software package, which allows you to create cartographic layers for constructing digital maps. When developing a local GIS of agricultural land in the Remontnensky district, OSM data and a developed vector soil map of the Rostov region M 1:500,000 were used. To identify the geomorphological and morphometric characteristics of agroforestry landscapes, raster images of the land cover were used – a digital terrain model SRTM-1. Using the NDVI vegetation index, the safety of protective forest plantations was calculated.
Results and conclusions. As a result of the study, all contours of agroforestry landscapes within the boundaries of the selected municipal area were identified. 1,565 plots of cultivated arable land with an area of 180 thousand hectares and 91 plots of fallow areas with an area of 9 thousand hectares have been identified. A geomorphological and morphometric analysis of the contours of these agricultural lands was carried out using geoinformation tools. Analysis of these data allows us to conclude that most agricultural fields used for agricultural production have an average slope steepness of no more than 2°, which indicates a low level of occurrence of water erosion. The safety of each designated forest belt on the territory of the administrative district was calculated. The overall safety in the area is 8%. This indicates that it is necessary to carry out phytomeliorative measures in the area to improve the condition of protective forest plantations. For each of the presented indicators

1. Barabanov A. T., Panov V. I. Transformation of the Hydrological Regime of Agrolandscapes by Protective Forest Plantations. Living and bioinert systems. 2016. № 16. P. 6.

2. Berdengalieva A. N., Berdengaliev R. N. Relationship between Seasonal Dynamics of Winter Wheat and Relief in the Subzone of Southern Chernozems of the Volgograd Region. Scientific and Agronomic Journal. 2022. № 3 (118). Pp. 49-56.

3. Vasilchenko A. A. Spatial Analysis of the Infrastructure of Irrigated Fields of the Volga-Akhtuba Floodplain in the Volgograd Region. Scientific and Agronomic Journal. 2022. № 4 (119). Pp. 12-18.

4. Vinogradov B. V. Aerospace Monitoring of Ecosystems. Moscow, Nauka Publ., 1984. P. 79.

5. Vypritskii A. A., Matveev Sh. Influence of State Protective Forest Belts on Seasonal Dynamics of Arable Land Productivity. Proceedings of the Nizhnevolzhsky Agro-University Complex: science and higher professional education. 2023. № 2 (70). Pp. 271-280.

6. Vypritsky A. A. Comparative Analysis of the Preservation of Watershed State Protective Forest Belts of the Volgograd Region According to Sentinel-2 NDVI Data and Information Products of Land Cover Types. InterCarto. InterGIS. 2022. V. 28. № 1. Pp. 458-470.

7. Rulev A. S., Yuferev V. G., Koshelev A. V., Tkachenko N. A. Remote monitoring of agroforestry landscapes using GIS technologies. Bulletin of Volgograd State University. Series 11: Natural Sciences. 2013. № 1 (5). Pp. 51-58.

8. Sinelnikova K. P., Berdengalieva A. N., Matveev Sh., et al. Mapping of arable land in agrolandscapes of the Volgograd region according to remote sensing data. Exploring the Earth from space. 2023. № 5. Pp. 85-96.

9. Kulik K. N., Pugacheva A. M. Forest Reclamation as the Basis for Creating Sustainable Agrolandscapes in Conditions of Insufficient Moisture. Forest Technical Journal. 2016. V. 6. № 3 (23). Pp. 29-40.

10. Manaenkov A. S., Podgaetskaya P. M., Podgaetsky M. E. Peculiarities of Growth of Small-Row Forest Belts on Chestnut Soils. Bulletin of Moscow State University. Episode 5: Geography. 2022. № 3. Pp. 134-142.

11. Matveev Sh. Geoinformation Mapping of the Current State of Agricultural Territories of the Novoanninsky District of the Volgograd Region. Natural Systems and Resources. 2022. V. 12. № 2. Pp. 36-42.

12. Matveev Sh. Assessment of the Modern Structure and Characteristics of Agricultural Land in the Tsimlyansky District of the Rostov Region with the Use of GIS-Technologies. Scientific and Agronomic Journal. 2023. № 2 (121). Pp. 51-56.

13. Melikhova A. V. Morphometric Analysis of Agrolandscapes of the Transition Zone of Southern Chernozems and Dark Chestnut Soils of the Volgograd Region. Natural Systems and Resources. 2022. V. 12. № 4. Pp. 26-33.

14. Rulev A. S., Shinkarenko S. S., Bodrova V. N., Sidorova N. V. Geoinformation Technologies in Ensuring Precision Farming. Proceedings of the Nizhnevolzhsky Agro-University Complex: science and higher professional education. 2018. № 4 (52). Pp. 115-122.

15. Shinkarenko S. S., Bartalev S. A., Berdengalieva A. N., Doroshenko V. V. Satellite Monitoring of Desertification Processes in the South of European Russia in 2019-2022. 2022. V. 19. № 5. Pp. 319-327.

16. Yuferev V. G., Kulik K. N., Rulev A. S., Mushayeva K. B., Koshelev A. V., Dorokhina Z. P. Geoinformation Technologies in Agroforestry. Volgograd: VNIALMI, 2010. 102 p.

17. Loupian E. A., Bourtsev M. A., Proshin A. A., Kashnitskii A. V., Balashov I. V., Bartalev S. A., Konstantinova A.M., Kobets D. A., Radchenko M. V., Tolpin V.A, Uvarov I. A. Usage Experience and Capabilities of the VEGAScience System. Remote Sensing. 2022. V. 14. No. 1. Art. No. 77. 19 p.