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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. 6, pp. 108-123

Long-term arid pasture landscapes NDVI dynamics in European Russia and adjacent territories

S.S. Shinkarenko 1 , S.А. Bartalev 1 
1 Space Research Institute RAS, Moscow, Russia
Accepted: 28.10.2022
DOI: 10.21046/2070-7401-2022-19-6-108-123
The article presents the results of the analysis of the long-term dynamics of the average and maximum NDVI values during the growing season for pastures in the southeast of European Russia and Western Kazakhstan. The research is based on the MODIS data for the period of 2001–2020. The current studies of landscape condition trends often do not differentiate between pastures and arable land and do not take into account pasture loads. Moreover, they are limited to the territories of individual countries, regions or test sites. The present research outlines a correlation analysis of the long-term NDVI series, including the total precipitation for hydrological and calendar years, the average annual air temperatures, the maximum air temperatures during the growing season, as well as pasture loads. We have established a significant positive correlation between the landscape condition and the amount of precipitation during the hydrological year on 98 % of the pasture area. The strongest negative impact of air temperatures and pasture loads is observed on 44.5 and 55 % of pastures, respectively. An area of 20 million ha (24 % of the studied pastures) is characterized by a significant negative trend in the average NDVI value for the growing season. 72 % of pastures are characterized by a negative trend in precipitation amount; 83% of pastures are characterized by a significant trend in the increase of pasture loads; and 59 % of pastures are characterized by a positive trend for an increase in maximum temperatures during the growing season. Thus, as a result of the research, the regularities of the long-term dynamics of the NDVI of arid pastures in Russia and adjacent territories have been established, and key factors for reducing their productivity have been identified. They include deterioration in moisture conditions, an increase in air temperature and pasture loads.
Keywords: pasture loads, remote sensing, MODIS, Northern Caspian, Western Kazakhstan
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