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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2022, Vol. 19, No. 4, pp. 181-194

Trend analysis of MODIS time series vegetation indices to assess the impact of droughts on forest stands in the Middle Volga from 2000 to 2020

O.N. Vorobyov 1 , E.A. Kurbanov 1 , J. Sha 2 , S.A. Lezhnin 1 , J. Wang 3 , J. Cole 4 , D.M. Dergunov 1 
1 Volga State University of Technology, Yoshkar-Ola, Russia
2 College of Geography, Fujian Normal University, Fuzhou, China
3 Faculty of Geography, Yunnan Normal University, Kunming, China
4 Council for Geoscience, Pretoria, South Africa
Accepted: 28.07.2022
DOI: 10.21046/2070-7401-2022-19-4-181-194
Timely, accurate and regular monitoring of drought based on satellite data is an important part in assessing the state and productivity of forest stands. In the study we carried out a spatio-temporal analysis of drought impact on forest ecosystems of the Middle Volga region of Russia for 2000 to 2020 based on time series estimation of MODIS difference vegetation index (NDVI), vegetation condition index (VCI), standardized precipitation index (SPI) and their standardized anomalies. Raster maps of the spatial distribution trends of the studied remote sensing indices on the area of forest cover were obtained by the Kriging geostatistical interpolation. The study showed that two meteorological indicators (temperature and precipitation) obtained from satellite data are the most suitable for estimating NDVI in dry years. The possibilities of using anomalous values of the studied indices are limited due to peculiarities of the response to negative consequences of dry season impact on forest cover. When monitoring droughts on the territory of large forest areas, it is necessary to take into account local spatial and temporal trends of the studied indices, which allow assessing the situation as a whole. on the example of a particular region (the Republic of Mari El) The VCI index made it possible to conduct a more accurate assessment of the impact of drought intensity on the condition and productivity of forest stands than for the entire study region. An analysis of the linear trend of the NDVI time series over a twenty-year period demonstrates a sustainable increase in the productivity of forest stands in the Middle Volga region. The results obtained can be used for both current and predictive drought monitoring to detect the impact of climate change on the forests of the Middle Volga region and assess the probability of forest disturbances at the regional and local levels.
The reported study was funded by RFBR (Russian Foundation for Basic Research), MOST (Ministry of Science and Technology of the People’s Republic of China) and NRF (South Africa’s National Research Foundation) in the framework of research project No. 19-55-80010.
Keywords: remote monitoring, draught, climate, Middle Volga, forest ecosystems, MODIS, SPI, VCI, NDVI
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