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Articles | Volume XL-7/W3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W3, 157–163, 2015
https://doi.org/10.5194/isprsarchives-XL-7-W3-157-2015
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W3, 157–163, 2015
https://doi.org/10.5194/isprsarchives-XL-7-W3-157-2015

  28 Apr 2015

28 Apr 2015

NDVI dynamics of the taiga zone in connection with modern climate changes

A. Bobkov1, E. Panidi2, N. Torlopova3, and V. Tsepelev4 A. Bobkov et al.
  • 1Saint-Petersburg State University, Institute of Earth Sciences, Department of Physical Geography and Landscape Design, Saint-Petersburg, Russian Federation
  • 2Saint-Petersburg State University, Institute of Earth Sciences, Department of Cartography and Geoinformatics, Saint-Petersburg, Russian Federation
  • 3Russian Academy of Sciences, Ural Branch, Komi Scientific Center, Institute of Biology, Syktyvkar, Russian Federation
  • 4Russian State Hydrometeorological University, Meteorological Department, Saint-Petersburg, Russian Federation

Keywords: Climate Change, Vegetation Cover, Dynamics of Vegetation, Taiga Zone

Abstract. This research is dedicated to the investigation of the relations between the XXI century climate changes and Normalized Difference Vegetation Index (NDVI) variability of the taiga zone. For this purposes was used the observations of vegetation variability on the test area located nearby Syktyvkar city (Komi Republic, Russia), 16-day averages of NDVI data derived from TERRA/MODIS space imagery (spatial resolution is about 250 meters), and the air temperature and precipitation observations from Syktyvkar meteorological station.

The research results confirmed the statistically significant positive correlation between NDVI and air temperature for all vegetation types of the test area, for both spring and autumn seasons. The weakest correlation was found for coniferous forest, namely, pine forest on poor soils, and the strongest correlation was found for meadows and bogs. Additionally the map of NDVI trends of the test area shows that the sectors of greatest positive trend located on the territories with non-forest cover, and as a result, the positive trend of air temperature is indicated most brightly on vegetation of non-forest lands. Thereby these lands can serve as climate changes indicator in the investigated region. The study was partially supported by Russian Foundation for Basic Research (RFBR), research project No. 14-05-00858 a.