Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2023, Vol. 20, No. 5, pp. 194-204
Informativeness of vegetation indices in assessing post-cutting restoration of dark coniferous forests in Northern Sikhote-Alin according to data from Landsat series satellites
A.V. Ostroukhov
1 , D.R. Klevtsov
2 1 Institute of the Water and Ecology Problems FEB RAS, Khabarovsk, Russia
2 Pacific National University, Khabarovsk, Russia
Accepted: 04.10.2023
DOI: 10.21046/2070-7401-2023-20-5-194-204
The possibility of using vegetation indices to assess the dynamics of indigenous vegetation regeneration was analyzed using the example of a large massif of dark coniferous (spruce-fir) forests in the Vaninsky and Sovetsko – Gavansky districts of the Khabarovsk Territory with a total area of 34 ths ha and a 43 year history of forestry development. A map of the current state of vegetation and the history of forestry growth in the study region was developed by processing of a long-term series (1980–2023) of Landsat-3…-9 satellite data, expedition materials, and aerial photography data from unmanned aerial vehicle (UAV). The calculated vegetation indices NDVI (Normalized Difference Vegetation Index), EVI (Enhanced Vegetation Index), SWVI (Shortwave Vegetation Index), and BSFI (Bi-Seasonal Forest Index) are evaluated for their applicability in assessing post-harvesting dynamics in dark coniferous forests. The results show that the NDVI and EVI indices are unsuitable for these purposes, which is related to both the specificity of the object of investigation and the spatial resolution of the obtained materials. Although the BSFI and SWVI indices better reflect the dynamics of vegetation cover, they have disadvantages associated with large value scatter due to the specifics of the dark coniferous forests regeneration, which hampers data interpretation.
Keywords: : vegetation indices, NDVI, EVI, SWVI, BSFI, Landsat-8, reforestation, fir-spruce forests, Northern Sikhote-Alin
Full textReferences:
- Bartalev S. A., Kuryatnikova T. S., Stibig H.-J., Methods for the analysis of time-series of high-resolution satellite images for the assessment of logging in the taiga, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2005, Vol. 2, No. 2, pp. 217–227 (in Russian).
- Bartalev S. A., Egorov V. A., Zharko V. O., Loupian E. A., Plotnikov D. E., Khvostikov S. A., Shabanov N. V., Sputnikovoe kartografirovanie rastitel’nogo pokrova Rossii (Land cover mapping over Russia using Earth observation data), Moscow: IKI RAN, 2016, 208 p. (in Russian).
- Belova E. I., Ershov D. V., Using Landsat time series for assessing reforestation on clear cuts in Bryansk region, Forest science issues, 2019, Vol. 2, No. 4, pp. 1–20 (in Russian), DOI: 10.31509/2658-607x-2019-2-4-1-20.
- Verhoturov A. A., Melkiy V. A., Sabirov R. N., Geoinformation mapping of fir-spruce forests by data of space survey in various spectral rangesm, Regulirovanie zemel’no-imushchestvennykh otnoshenii v Rossii: pravovoe i geoprostranstvennoe obespechenie, otsenka nedvizhimosti, ekologiya, tekhnologicheskie resheniya (Regulation of land and property relations in Russia: legal and geospatial support, real estate valuation, ecology, technological solutions), 2020, Vol. 1, pp. 141–147 (in Russian), DOI: 10.33764/2687-041X-2020-1-141-147.
- Vorobiev O. N., Kurbanov E. A., Remote monitoring of vegetation regeneration dynamics on burnt areas of Mari Zavolzhje forests, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2017. Vol. 14, No. 2, pp. 84–97 (in Russian), DOI: 10.21046/2070-7401-2017-14-2-84-97.
- Zhirin V. M., Knyazeva S. V., Eidlina S. P., Remote maintenance of forest-forming process in taiga forests after their cutting in the Russian Plain, Lesovedenie, 2011, No. 6, pp. 29–38 (in Russian).
- Klimina E. M., Ostroukhov A. V., Landscape and ecological zoning of municipal districts on the Khabsrovsk territory example, Regional problems, 2022, Vol. 25, No. 3, pp. 28–30 (in Russian), DOI: 10.31433/2618-9593-2022-25-3-28-30.
- Krasnoshchekov K. V., Dergunov A. V., Ponomarev E. I., Evaluation of underlying surface temperature maps on logging sites using Landsat data, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, Vol. 16, No. 2, pp. 87–97 (in Russian), DOI: 10.21046/2070-7401-2019-16-2-87-97.
- Kuular Kh. B. O., The study of vegatation cover of the republic of Tyva from satellite observation, Natural resources, environment and society, 2020, No. 1(5), pp. 55–61 (in Russian).
- Malinnikov V. A., Bartalev S. S., Possibilities of regional ecological assessment of forests based on satellite observations, Izvestiya vuzov. Geodesy and Aerophotosurveying, 2006, No. 6, pp. 3–18 (in Russian).
- Melkiy V. A., Verkhoturov A. A., Bratkov V. V., Climate influence on the state of the northern part of the eel-fir subzone of the dark coniferous boreal forests of Sakhalin Island, Regional Geosystems, 2020, Vol. 44, No. 4, pp. 415–431 (in Russian), DOI: 10.18413/2712-7443-2020-44-4-415-431.
- Petrov E. S., Novorotskii P. V., Lenshin V. T., Klimat Khabarovskogo kraya i Evreiskoi avtonomnoi oblasti (Climate of the Khabarovsk Territory and the Jewish Autonomous Region), A. N. Makhinov (ed.), Vladivostok; Khabarovsk: Institute of Water and Environmental Problems FEB RAS, 2000, 174 p. (in Russian).
- Stytsenko F. V., Bartalev S. A., Bukas. A. V. et al., The possibilities of prolonged burnt severity assessment of evergreen coniferous forest using multi-spectral satellite data, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, Vol. 16, No. 5, pp. 217–227 (in Russian), DOI: 10.21046/2070-7401-2019-16-5-217-227.
- Tuktamyshev I. R., Shirokikh P. S., Mullagulov R. Yu., On the information content of spectral channels and NDVI of the Landsat 5 TM Landsat 7 ETM+ remote sensing satellite for assessing the stages of forest overgrowth of abandoned agricultural lands, Ecobiotech, 2021, Vol. 4, No. 3, pp. 178–185 (in Russian), DOI: 10.31163/2618-964X-2021-4-3-178-185.
- Shvetsov E. G., Ponomarev E. I., Detection of clear-cuts using satellite-derived global forest change product, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2021, Vol. 18, No. 4, pp. 140–148 (in Russian), DOI: 10.21046/2070-7401-2021-18-4-140-148.
- Shinkarenko S. S., Bartalev S. A., Possibilities of assessing forest belts canopy closure using Sentinel 2 based Bi Seasonal Forest Index and UAV data, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2023, Vol. 20, No. 1, pp. 189–202 (in Russian), DOI: 10.21046/2070-7401-2023-20-1-189-202.
- Shinkarenko S. S., Bartalev S. A., Vasilchenko A. A., Method for protective forest plantations mapping based on multi-temporal high spatial resolution satellite images and Bi-Season Forest Index, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2022, Vol. 19, No. 4, pp. 207–222 (in Russian), DOI: 10.21046/2070-7401-2022-19-4-207-222.
- Shum N. M., Multifactorial assessment of the export potential of the forest complex (on the example of the Khabarovsk territory), Fundamental research, 2021, No. 9, pp. 85–93 (in Russian), DOI: 10.17513/fr.43098.
- Frost G. V., Epstein H. E., Walker D. A., Regional and landscape-scale variability of Landsat-observed vegetation dynamics in northwest Siberian tundra, Environmental Research Letters, 2014, Vol. 9, No. 2, Article 025004, DOI: 10.1088/1748-9326/9/2/025004.
- Huete A., Didan K., Miura T. et al., Overview of the radiometric and biophysical performance of the MODIS vegetation indices, Remote Sensing of Environment, 2002, Vol. 83, Issue 1–2, pp. 195–213, https://doi.org/10.1016/S0034-4257(02)00096-2.
- Liang S., Narrowband to broadband conversions of land surface albedo I: Algorithms, Remote Sensing of Environment, 2001, Vol. 76, Issue 2, pp. 213–238, https://doi.org/10.1016/S0034-4257(00)00205-4.
- Meddens A. J. H., Hicke J. A., Vierling L. A., Hudak A. T., Evaluating methods to detect bark beetle-caused tree mortality using single-date and multi-date Landsat imagery, Remote Sensing of Environment, 2013, Vol. 132, pp. 49–58, DOI: 10.1016/j.rse.2013.01.002.
- Miles V. V., Esau I., Spatial heterogeneity of greening and browning between and within bioclimatic zones in northern West Siberia, Environmental Research Letters, 2016, Vol. 11, No. 11, Article 115002, DOI: 10.1088/1748-9326/11/11/115002.
- Silva B. B., Braga A. C., Braga C. C. et al., Procedures for calculation of the albedo with OLI-Landsat 8 images: Application to the Brazilian semi-arid, Revista Brasileira de Engenharia Agrícola e Ambiental, 2016, Vol. 20, Issue 1, pp. 3–8, DOI: 10.1590/1807-1929/agriambi.v20n1p3-8.
- Zhirin V. M., Knyazeva S. V., Eydlina S. P., Long-term dynamics of vegetation indices in dark coniferous forest after Siberian moth disturbance, Contemporary Problems of Ecology, 2016, Vol. 9, No. 7, pp. 834–843, DOI: 10.1134/S1995425516070118.