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Geoinformation Analysis of the Impact of State Protective Forest Belts on the Productivity of Agricultural Land

  • USE OF SPACE INFORMATION ABOUT THE EARTH LAND USE RESEARCH FROM SPACE
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Abstract—

Determining the patterns of changes in the productivity of agricultural land in different growing areas in the zone of influence of State Protective Forest Belts (SPFB) is relevant due to the need to assess the future crop yield in fields with differences in geomorphological, soil, and climatic conditions in the research area. The object was to study the sowing of winter grain crops in fields mixed within the influence of State Protective Forest Belts. Materials and methods involved a research methodology based on the geoinformation analysis of the results of the decryption of actual satellite images, both to identify the distribution of cultivated fields located in the zone of influence of SPFB, and the state of crops on them. At the same time, the soil zonality of the research area was taken into account in view of the considerable length of forest strips. The assessment of the condition of winter grain crops as they move away from the planting was carried out using the NDVI vegetation index calculated from the high-resolution spectral channels of satellite images. Results and conclusions: based on the results of the research, a database of spatial data of the processed fields has been compiled. The grou** of fields was carried out both according to the similarity of the conditions of the places of cultivation of crops and by agricultural crops. Their placement and geomorphological parameters have been established. With the use of geoinformation technologies for groups of fields using statistical processing tools, the average values of the width and area of the selected zones of influence, as well as terrain parameters, were determined. During geoinformation map**, data on the state of crops at the end of May were obtained based on the change in the NDVI index by field grou**s in the zone of SPFB impact. These data are the basis for the forecast of crop yields, taking into account the spatial location of fields.

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REFERENCES

  1. Antonov, S.A., Analysis of the spatial location of protective woodlands on the basis of geoinformation technologies and the Earth’s remote sensing data, InterKarto. InterGIS, 2020, vol. 26, no. 2, pp. 408–420. https://doi.org/10.35595/2414-9179-2020-2-26-408-420

    Article  Google Scholar 

  2. Barabanov, A.T. and Panov, V.I., Transformation of the hydrological regime of agricultural landscapes with protective woodlands, Zhivye Biokosnye Sist., 2016, no. 16, pp. 6.

  3. Bereza, O.V., Strashnaya, A.I., and Lupyan, E.A., Possible forecast of the yield of winter wheat in the Middle Volga region based on combined ground-based and satellite data, Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa, 2015, vol. 12, no. 1, pp. 18–30.

    Google Scholar 

  4. Cheplyanskii, I.Ya., Zasoba, V.V., and Popovichev, V.V., Forest and nonforest lands in state protected forest belts in Russia, Aktual. Probl. Lesn. Kompleksa, 2018, no. 51, pp. 91–95.

  5. Koshelev, A.V., Agrochemical behavior of dark chestnut soils at the Pronin test site, Nauchno-Agron. Zh., 2019, no. 2, pp. 14–17.

  6. Krasnoshchekov, V.N. and Fomenko, Yu.P., Assessment of the impact of economic activities on the state of agricultural lands in the Volgograd region, Prirodoobustroistvo, 2015, no. 2, pp. 93–98.

  7. Kulik, K.N. and Pugacheva, A.M., Forest reclamation as a basis for creating sustainable agricultural landscapes under insufficient moisture, Lesotekh. Zh., 2016, vol. 6, no. 3, pp. 29–40.

    Google Scholar 

  8. 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., and Uvarov, I.A., Usage experience and capabilities of the VEGA-Science system, Remote Sens., 2022, vol. 14, no. 1, p. 77. https://doi.org/10.3390/rs14010077

    Article  ADS  Google Scholar 

  9. Lu, D., The potential and challenge of remote sensing-based biomass estimation, Int. J. Remote Sens., 2006, vol. 27, no. 7, pp. 1297–1328.

    Article  ADS  Google Scholar 

  10. Novikova, A.F. and Konyushkova, M.V., Soil–agroecological zoning of the Volgograd region and the main directions of complex reclamation, Arid. Ekosist., 2008, vol. 14, no. 35–36, pp. 34–46.

    Google Scholar 

  11. Obshchiya E.N., Dudchenko L.V., Lapenko N.G., Khripunov A.I., Optimization of depressed forest strips as a way to increase the biologization of the agricultural landscape, Lesotekh. Zh., 2018, vol. 8, no. 2, pp. 79–86. https://doi.org/10.12737/article_5b24060cd20b28.24910048

    Article  Google Scholar 

  12. Osipov, S.V., Scales of the Earth’s surface slopes and methods for their development, Vestn. Voronezh. Gos. Univ.: Ser. Geogr. Geoekol., 2016, no. 3, pp. 45–50.

  13. Pochvennaya karta Volgogradskoi oblasti (M 1:400 000) (Soil Map of the Volgograd Region (Scale 1:400 000)), Tsvylev, E.M., Ed., GUGK SSSR, 1989.

  14. Rulev, A.S., Yuferev, V.G., Mikhalev, V.Yu., and Maenko, A.N., RF Patent 2437061 C1, MPK G01C 11/04, A01G 23/00, December 20, 2011.

  15. Rulev, A.S., Yuferev, V.G., and Yuferev, M.V., Geoinformatsionnoe kartografirovanie i modelirovanie erozionnykh landshaftov (Geoinformation Map** and Modeling of Erosion Landscapes), Vserossiiskii nauchno-issledovatel’skii agrolesomeliorativnyi institut, 2015.

  16. Rulev, A.S., Kosheleva, O.Yu., and Shinkarenko, S.S., Assessment of forest cover of agricultural landscapes in the south of the Volga Upland according to NDVI data, Izv. Nizhnevolzh. Agrouniv. Kompleksa: Nauka Vyssh. Prof. Obraz., 2016a, no. 4, pp. 32–39.

  17. Rulev, A.S. and Yuferev, V.G., Mathematical and geomorphological modeling of erosion landscapes, Geomorfologiya, 2016b, no. 3, pp. 36–45.

  18. Sazhin, A.N., Kulik, K.N., and Vasil’ev, Yu.I., Pogoda i klimat Volgogradskoi oblasti (Weather and Climate in the Volgograd Region), Volgograd: VNIALMI, 2010.

  19. Shikhov, A.N. and Dremin, D.A., Patterns of windfall damage to forests in European Russia and the Urals: Analysis from satellite data, Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa, 2021, vol. 18, no. 3, pp. 153–168. https://doi.org/10.21046/2070-7401-2021-18-3-153-168

    Article  Google Scholar 

  20. Shinkarenko, S.S. and Bartalev, S.A., Seasonal dynamics of NDVI of pasture landscapes of the Northern Caspian region according to MODIS data, Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa, 2020, vol. 17, no. 4, pp. 179–194. https://doi.org/10.21046/2070-7401-2020-17-4-179-194

    Article  Google Scholar 

  21. Silova, V.A., Forest reclamation impact on the productivity of agricultural lands in the dry-steppe zone, Nauchn. Zh. Ross. NII Probl. Melior., 2021, vol. 11, no. 2, pp. 68–81. https://doi.org/10.31774/2222-1816-2021-11-2-68-81

    Article  Google Scholar 

  22. Taranov, N.N. and Sinel’nikova, K.P., Analysis of the safety of the Kamyshin–Volgograd state forest belt, using retrospective methods and GIS technologies. Investigation, conservation, and restoration of natural landscapes, in Sbornik Statei VII vserossiiskoi s mezhdunarodnym uchastiem nauchno-prakticheskoi konferentsii (Proceedings of the VII All-Russian Scientific and Practical Conference with International Participation), 2017, pp. 389–393.

  23. Terekhin, E.A., Spatial analysis of the formation of woody vegetation on fallow lands of the forest-steppe of the Central Black Earth Region using their spectral characteristics, Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa, 2020, vol. 17, no. 5, pp. 142–156. https://doi.org/10.21046/2070-7401-2020-17-5-142-156

    Article  Google Scholar 

  24. Terekhin, E.A. and Marinina, O.A., Study of the features of winter grain crops on the basis of their spectral and reflective characteristics, Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa, 2016, vol. 13, no. 5, pp. 202–213. https://doi.org/10.21046/2070-7401-2016-13-5-202-213

    Article  Google Scholar 

  25. Vinogradov, B.V., Aerokosmicheskii monitoring ekosistem (Aerospace Ecosystem Monitoring), Moscow: Nauka, 1984.

  26. Vol’nov, V.V., Impact of forest belts on soil moisture and crop productivity, Vestn. Altai. Gos. Agrar. Univ., 2006, no. 3, pp. 41–44.

  27. Vypritskiy, A.A., Electronic map** of state protective forest belts in the Volgograd region, Grani Poznaniya, 2021, no. 3, pp. 9–14.

  28. Vypritskiy, A.A., Comparative analysis of the conservation of watershed state protected forest belts of the Volgograd region according to SENTINEL-2 NDVI data and information products of land cover types, InterKarto, InterGIS, 2022, vol. 28, no. 1, pp. 359–367. https://doi.org/10.35595/2414-9179-2022-1-28-458-470

    Article  Google Scholar 

  29. Vypritskiy, A.A. and Shinkarenko, S.S., Analysis of the impact of soil and climatic conditions on the safety of state protected forest belts on the basis of Sentinel-2 data, Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa, 2022, vol. 19, no. 5, pp. 147–163. https://doi.org/10.21046/2070-7401-2022-19-5-147-163

    Article  Google Scholar 

  30. Zasoba, V.V., Cheplyanskii, I.Ya., and Popovichev, V.V., The seventy-year history of state protected forest belts in the steppe zone of Russia, Zhivye Biokosnye Sist., 2019, no. 27, p. 3.

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Funding

The work was carried out according to state assignments from the Federal Scientific Center for Agroecology of the Russian Academy of Sciences, NIOKTR 122020100406-6 “Theoretical foundations of mathematical and cartographic modeling of the functioning and natural-anthropogenic transformation of agroforestry systems in protecting soils from deflation.”

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Vypritskiy, A.A., Yuferev, V.G. Geoinformation Analysis of the Impact of State Protective Forest Belts on the Productivity of Agricultural Land. Izv. Atmos. Ocean. Phys. 59, 1465–1473 (2023). https://doi.org/10.1134/S0001433823120241

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