Paper
18 December 2019 Study of the features of vegetation index trends of forest tundra in Yakutia
Eugenia V. Varlamova, Vladimir S. Solovyev
Author Affiliations +
Proceedings Volume 11208, 25th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 112087L (2019) https://doi.org/10.1117/12.2540710
Event: XXV International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, 2019, Novosibirsk, Russian Federation
Abstract
The study of the features of NDVI trends of forest-tundra in Yakutia was carried out using GIMMS data (1982-2015). Trend maps of NDVI seasonal (May-September) values was constructed. Areas with the highest NDVI linear trend (10 – 15%) are located in the northern part of Yakutia. The highest NDVI seasonal trend is mainly due to significant increase (~26%) of May values during the past 12 years (2004-2015). Evaluation of the relationship between NDVI variations (May values) and meteorological parameters in the test site showed a high correlation (R=0.9) between NDVI and air temperature of May. The analysis of temperature changes (May values) showed also a significant increase of temperature trend (~6,1°С) during 2004-2015. While the relationship between NDVI and precipitation is negligible.
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Eugenia V. Varlamova and Vladimir S. Solovyev "Study of the features of vegetation index trends of forest tundra in Yakutia", Proc. SPIE 11208, 25th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 112087L (18 December 2019); https://doi.org/10.1117/12.2540710
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KEYWORDS
Vegetation

Temperature metrology

Meteorology

Data modeling

Ecosystems

Satellites

Atmospheric sciences

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