Paper
29 November 2016 Study of NDVI vegetation index in East Siberia under global warming
Eugenia Varlamova, Vladimir Solovyev
Author Affiliations +
Proceedings Volume 10035, 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 100355K (2016) https://doi.org/10.1117/12.2248092
Event: XXII International Symposium Atmospheric and Ocean Optics. Atmospheric Physics, 2016, Tomsk, Russian Federation
Abstract
Study of NDVI (Normalized Difference Vegetation Index) in Eastern Siberia was carried out on long-term (1982-2014) satellite data. 15-days average NDVI data (GIMMS project) was used to create the maps of NDVI trends distribution and correlation of NDVI with air temperature and precipitation. Using NDVI daily data (NOAA CDR Program data) over three test sites (in Yakutia), phenological parameters of tundra vegetation and deciduous needleleaf forests were calculated. It is shown, that for past three decades there is a positive NDVI trend in Eastern Siberia. Analysis of phenological parameters shows a tendency of an earlier SOS (start of season) and later EOS (end of season) for deciduous needleleaf forests and tundra vegetation. Air temperature is the major factor that defines positive trend of NDVI vegetation index under conditions of low precipitation.
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Eugenia Varlamova and Vladimir Solovyev "Study of NDVI vegetation index in East Siberia under global warming", Proc. SPIE 10035, 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 100355K (29 November 2016); https://doi.org/10.1117/12.2248092
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KEYWORDS
Vegetation

Climate change

Climatology

Satellites

Meteorology

Temperature metrology

Atmospheric physics

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