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2019•25th International Symposium on Atmospheric and Ocean Optics: Atmospheric PhysicsRequires access

Study of the features of vegetation index trends of forest tundra in Yakutia

Е.В. Варламова, Vladimir S. Solovyev

Open publisher page 2 citations

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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What this paper is about

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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Available 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.

Key concepts: Tundra, Normalized Difference Vegetation Index, Vegetation Index, Vegetation (pathology), Environmental science, Precipitation, Physical geography, Trend analysis

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