Using MODIS satellite data to analyze correlation between phenology of forest vegetation and climate in Siberia
Автор: Pisman T.I., Botvich I.Yu., Emelyanov D.V., Shevyrnogov A.P.
Журнал: Журнал Сибирского федерального университета. Серия: Техника и технологии @technologies-sfu
Рубрика: Исследования. Проектирование. Опыт эксплуатации
Статья в выпуске: 2 т.18, 2025 года.
Бесплатный доступ
The study reports results of analyzing the dynamics of forest vegetation phenology associated with climate change in Siberia (the Stolby National Park, Krasnoyarsk Krai). Correlations between the start of growing season (SOS) and land surface temperature (LST) in March, April, May, and June and between the end of growing season (EOS) and LST in August and September have been analyzed. Regions where the growing season of forest vegetation tends to increase have been revealed. The study shows that the longer growing season of forest vegetation is associated with the earlier start of the season, which is correlated with the rise in April air temperature. The later end of growing season of forest vegetation is determined by higher temperatures in both August and September
Remote sensing data, modis, siberia, forest, climate, phenology, correlation
Короткий адрес: https://sciup.org/146283093
IDR: 146283093
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