Analysis of overgrowing of agricultural lands on the Perm region based on Landsat satellite images

DOI: 10.35595/2414-9179-2021-4-27-150-161

View or download the article (Rus)

About the Authors

Anna P. Belousova

Perm State University, Faculty of Geography,
Bukireva, 15, 614068, Perm, Russia;
E-mail: uran399@mail.ru

Ilya V. Bryzhko

Perm State University, Faculty of Geography,
Bukireva, 15, 614068, Perm, Russia;
E-mail: zemproekt@yandex.ru

Abstract

The article deals with the problem of overgrowing trees and shrubs of abandoned agricultural land in the Perm Region. The widespread occurrence of overgrowth processes in the non-chernozem zone is associated with the close proximity of agricultural land and forested areas. Also, a significant reason for widespread occurrence of this process is the non-use of land by agricultural producers in the region, due to financial problems and lack of funds to carry out work to return agricultural land to use. The method is based on the use of Landsat satellite imagery data. Analysis has been performed over a 30-year period, from the time of a maximum use of agricultural land to the present day. The processes of overgrowing of agricultural land on the territory of the Perm Region are used quite actively, this is due to the close proximity of agricultural land, as well as, often, with the non-use of the region’s land by agricultural producers due to financial difficulties and the lack of work to return agricultural land into circulation. The results are presented for the municipal districts of the Perm Region. The total area of overgrown agricultural land in 2020 is 138,610 km2 (58.8 % of the total area of agricultural land in the Perm Region). Early stages of forest regeneration are not identified on satellite images due to their low spatial resolution. Approximately 68,950 km2 of agricultural land are covered by closed forest vegetation, its return to agricultural use has extremely low economic efficiency for agricultural manufacturers of the region. Young unclosed forest vegetation covers 69,660 km2. Accuracy assessment is performed based on reference sites with ground survey and high-resolution satellite images from public services (Google Earth and ESRI Imagery).

Keywords

agricultural lands, overgrowing of trees and shrubs vegetation, Landsat satellite imagery data, land management, Perm Region

References

  1. Belorusceva E.V. Monitoring of the state of agricultural land in the non-chernozem zone of the Russian Federation. Modern problems of remote sensing of the Earth from space, 2012. V. 9. No. 1. P. 57–64 (in Russian).
  2. Belousova A.P. Analysis of the use of arable land from satellite images of lands at the example of the Kungur forest-steppe. Geographical bulletin = Geographical bulletin. 2018. No. 4 (47). P. 133-143. DOI: 10.17072/2079-7877-2018-4-133-143 (in Russian).
  3. Bryzhko V.G., Bryzhko I.V. Improving the social infrastructure of rural areas based on rational land use. Moscow: Limited Liability Company “Expert and Consulting Center ‘Professor’ ”, 2019. 200 p. (in Russian).
  4. Korotaev N.Ya. Soils of the Perm region. Perm, 1962. 278 p.
  5. Peterson U., Pussa K., Liira J. Issues related to delineation of forest bound aries on Landsat Thematic Mapper winter images. International Journal of Remote Sensing, 2004. V. 25. No. 24. P. 5617–5628.
  6. Prischepov A.V., Meifroy P., Schierhorn F., Müller D., Kümmerle T. Driving factors, restrictions and compromises associated with the return of abandoned arable land to circulation in Russia, Ukraine and Kazakhstan. Spatial Economics, 2016. No. 2. P. 55–103 (in Russian).
  7. Prishchepov A.V., Müller D., Baumann M., Kuemmerle T., Alcantara C., Volker C. Radeloff. Underlying Drivers and Spatial Determinants of post-Soviet Agricultural Land Abandonment in Temperate Eastern Europe. Land-Cover and Land-Use Changes in Eastern Europe after the Collapse of the Soviet Union in 1991, 2017. P. 91–117. DOI: 10.1007/978-3-319-42638-9_5.
  8. Prishchepov A.V., Volker C. Radeloff, Dubinin M., Alcantara C. The effect of Landsat ETM/ETM+ image acquisition dates on the detection of agricultural land abandonment in Eastern Europe. Remote Sensing of Environment, 2012. No. 126. P. 195–209.
  9. Stytsenko E.A. Mapping the territory of the municipality using the method of automated decoding of multi-season zonal space images. Proceedings of higher educational institutions. Geodesy and aerial photography, 2017. No. 3. P. 94–99 (in Russian).
  10. Stytsenko E.A. Possibilities of recognition of agricultural land using the method of joint automated processing of multi-season multi-zone satellite images. Modern problems of remote sensing of the Earth from space, 2017. V. 14. No. 5. P. 172–183 (in Russian).
  11. Terekhin E.A. Successions on fallow lands in the south-west of the Central Russian Upland and their study using satellite data. Geographical bulletin = Geographical bulletin, 2017. No. 2 (41). P. 118–126. DOI: 10.17072/2079-7877-2017-2-118-126 (in Russian).
  12. Terekhin E.A., Posternak T.S. Reforestation processes on fallow lands in the south of Western Siberia and their analysis using remote sensing data. Modern problems of remote sensing of the Earth from space, 2019. V. 16. No. 4. P. 161–172 (in Russian).

For citation: Belousova A.P., Bryzhko I.V. Analysis of overgrowing of agricultural lands on the Perm region based on Landsat satellite images. InterCarto. InterGIS. Moscow: MSU, Faculty of Geography, 2021. V. 27. Part 4. P. 150–161. DOI: 10.35595/2414-9179-2021-4-27-150-161 (in Russian)