ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa


Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2022, Vol. 19, No. 4, pp. 223-235

Effect of abandoned agricultural lands forest cover on Sentinel-2 spectral response in forest-steppe natural zone

E.A. Terekhin 1 
1 Belgorod State National Research University, Belgorod, Russia
Accepted: 16.08.2022
DOI: 10.21046/2070-7401-2022-19-4-223-235
The influence of the abandoned lands parameters on their spectral response is the basis for the development of methods for their study using remote sensing data. The article analyzes the relationships between the forest cover of abandoned agricultural lands, typical for the Central Russian forest-steppe, and Sentinel-2 spectral response. For abandoned lands with deciduous species, the strongest relationship between forest cover and spectral response is found in the red and SWIR bands. The relationship between forest cover and spectral response in the red edge and NIR ranges is direct, but less pronounced. For abandoned lands with coniferous or mixed forests, a pronounced relationship between forest cover and spectral response is in red and SWIR bands. The relationship between the forest cover and the spectral response of marked lands in the most informative ranges of MSI sensor is curvilinear and described by the logit-function. Spatial analysis of forest cover and spectral response of abandoned lands in the red and SWIR ranges showed that the reflectance values in these bands can be used for spatial estimates of abandoned lands forest cover in the region.
Keywords: abandoned agricultural lands, forest cover, Central Russian forest-steppe, remote sensing, Sentinel-2
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  1. Baisheva E. Z., Shirokikh P. S., On the bryophyte flora of abandoned agricultural lands overgrown with forest in the republic of Bashkortostan, Izvestiya Ufimskogo nauchnogo tsentra RAN, 2017, No. 3-1, pp. 17–21 (in Russian).
  2. Varaksin G. S., Vais A. A., Baikalov E. M., Agricultural land colonization by tree vegetation, Vestnik Krasnoyarskogo gosudarstvennogo agrarnogo universiteta, 2012, No. 5, pp. 201–205 (in Russian).
  3. Vildanov I. R., Yaparov I. M., Gumerov A. P., Khizbullina R. Z., Space images in study of the current status of abandoned agricultural land in the southern Urals, Vestnik Severo-Vostochnogo federal’nogo universiteta im. M. K. Ammosova. Ser.: Nauki o Zemle, 2019, No. 2(14), pp. 50–60 (in Russian), DOI: 10.25587/SVFU.2019.14.35446.
  4. Ivanov A. I., Ivanova Zh. A., Sokolov I. V., Secondary Development of Unused Land, Russian Agricultural Sciences, 2020, Vol. 46, No. 3, pp. 274–278, DOI: 10.3103/S1068367420030076.
  5. Kurbanov E. A., Vorobyev O. N., Gubayev A. V., Leznin S. A., Nezamayev S. A., Alexandrova T. L., Estimation of reforestation of Mari El republic abandoned agricultural lands by satellite images, Vestnik Povolzhskogo gosudarstvennogo tekhnologicheskogo universiteta. Ser.: Les. Ekologiya. Prirodopol’zovanie, 2010, No. 2, pp. 14–20 (in Russian).
  6. Kurganova I. N., Lopes de Gerenyu V. O., Lichko V. I., Telesnina V. M., Karavanova E. I., The Dynamics of Carbon Pools and Biological Activity of Retic Albic Podzols in Southern Taiga during the Postagrogenic Evolution, Eurasian Soil Science, 2021, Vol. 54, No. 3, pp. 337–51, DOI: 10.1134/S1064229321030108.
  7. Ponomareva T. V., Ponomarev E. I., Shishikin A. S., Shvetsov E. G., Monitoring of transformation of postagrogenic soils in forest-steppe zone during the process of reforestation, Geografiya i prirodnye resursy, 2018, No. 2, pp. 154–161 (in Russian), DOI: 10.21782/GiPR0206-1619-2018-2(154-161).
  8. Rusanov A. M., Natural restoration of agricultural landscapes of the steppe and forest-steppe zones of the Orenburg region, Stepnoi byulleten’, 2012, No. 36, pp. 8–12 (in Russian).
  9. Savin I. Yu., Shishkonakova E. A., Spatial features of goldenrods (invasive solidago species) expansion in central regions of European part of Russia, Izvestiya Rossiiskoi akademii nauk. Ser. geograficheskaya, 2021, Vol. 85, No. 3, pp. 446–457 (in Russian), DOI: 10.31857/S2587556621030134.
  10. Terekhin E. A., Satellite-based estimation of successional processes on abandoned farmland of south Central Russian upland, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, Vol. 16, No. 6, pp. 180–193 (in Russian), DOI: 10.21046/2070-7401-2019-16-6-180-193.
  11. Terekhin E. A., Spatial analysis of tree vegetation of abandoned arable lands using their spectral response in forest-steppe zone of Central Chernozem Region, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2020, Vol. 17, No. 5, pp. 142–156 (in Russian), DOI: 10.21046/2070-7401-2020-17-5-142-156.
  12. Terekhin E. A., Indication of long-term changes in the vegetation of abandoned agricultural lands for the forest-steppe zone using NDVI time series, Komp’yuternaya optika, 2021, Vol. 45, No. 2, pp. 245–252 (in Russian), DOI: 10.18287/2412-6179-CO-797.
  13. Trofimov I. A., Trofimova L. S., Yakovleva E. P., Preservation and optimization of agrolandscapes of the Central Chernozem zone, Izvestiya Rossiiskoi akademii nauk. Ser. geograficheskaya, 2017, No. 1, pp. 103–109 (in Russian), DOI: 10.15356/0373-2444-2017-1-103-109.
  14. Alcantara C., Kuemmerle T., Prishchepov A. V., Radeloff V. C., Mapping abandoned agriculture with multi-temporal MODIS satellite data, Remote Sensing of Environment, 2012, Vol. 124, pp. 334–347, DOI: 10.1016/j.rse.2012.05.019.
  15. Grădinaru S. R., Kienast F., Psomas A., Using multi-seasonal Landsat imagery for rapid identification of abandoned land in areas affected by urban sprawl, From urban sprawl to compact green cities indicators for multi-scale and multi-dimensional analysis, 2019, Vol. 96, pp. 79–86, DOI: 10.1016/j.ecolind.2017.06.022.
  16. Hemmerling J., Pflugmacher D., Hostert P., Mapping temperate forest tree species using dense Sentinel 2 time series, Remote Sensing of Environment, 2021, Vol. 267, Art. No. 112743, DOI: 10.1016/j.rse.2021.112743.
  17. Korhonen L., Hadi, Packalen P., Rautiainen M., Comparison of Sentinel 2 and Landsat 8 in the estimation of boreal forest canopy cover and leaf area index, Remote Sensing of Environmen, 2017, Vol. 195, pp. 259–274, DOI: 10.1016/j.rse.2017.03.021.
  18. Lasanta T., Nadal-Romero E., Arnáez J., Managing abandoned farmland to control the impact of re-vegetation on the environment. The state of the art in Europe, Environmental Science and Policy, 2015, Vol. 52, pp. 99–109, DOI: 10.1016/j.envsci.2015.05.012.
  19. Terres J.-M., Scacchiafichi L. N., Wania A., Ambar M., Anguiano E., Buckwell A., Coppola A., Gocht A., Källström H. N., Pointereau P., Strijker D., Visek L., Vranken L., Zobena A., Farmland abandonment in Europe: Identification of drivers and indicators, and development of a composite indicator of risk, Land Use Policy, 2015, Vol. 49, pp. 20–34, DOI: 10.1016/j.landusepol.2015.06.009.
  20. Yoon H., Kim S., Detecting abandoned farmland using harmonic analysis and machine learning, ISPRS J. Photogrammetry and Remote Sensing, 2020, Vol. 166, pp. 201–212, DOI: 10.1016/j.isprsjprs.2020.05.021.
  21. Zhang Z., Dong X., Tian J., Tian Q., Xi Y., He D., Stand density estimation based on fractional vegetation coverage from Sentinel 2 satellite imagery, Intern. J. Applied Earth Observation and Geoinformation, 2022, Vol. 108, Art. No. 102760, DOI: 10.1016/j.jag.2022.102760.