Journal of Siberian Federal University. Engineering & Technologies / Using MODIS Satellite Data to Analyze Correlation Between Phenology of Forest Vegetation and Climate in Siberia

Full text (.pdf)
Issue
Journal of Siberian Federal University. Engineering & Technologies. 2025 18 (2)
Authors
Pisman, Tamara I.; Botvich, Irina Yu.; Emelyanov, Dmitry V.; Shevyrnogov, Anatoly P.
Contact information
Pisman, Tamara I. : Institute of Biophysics SB RAS Krasnoyarsk, Russian Federation; Botvich, Irina Yu.: Institute of Biophysics SB RAS Krasnoyarsk, Russian Federation; irina.pugacheva@mail; Emelyanov, Dmitry V. : Institute of Biophysics SB RAS Krasnoyarsk, Russian Federation; Shevyrnogov, Anatoly P. : Institute of Biophysics SB RAS Krasnoyarsk, Russian Federation
Keywords
remote sensing data; MODIS; Siberi; forest; climate; phenology; correlation; MODIS
Abstract

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

Pages
241–248
EDN
HZGQZB
Paper at repository of SibFU
https://elib.sfu-kras.ru/handle/2311/154994

Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).

Меню