Multiyear trends of Normalized Difference Vegetation Index and temperature in the south of Krasnoyarsk Krai

Описание

Тип публикации: статья из журнала

Год издания: 2013

Идентификатор DOI: 10.1134/S0001433813090132

Ключевые слова: NDVI, MODIS, AVHRR, GIMMS, air temperature, radiation temperature of surface, trends, northern Eurasia, Yermakovsk raion, air temperature, AVHRR, GIMMS, MODIS, NDVI, northern Eurasia, radiation temperature of surface, trends, Yermakovsk raion, air temperature, AVHRR, boreal forest, data processing, error analysis, MODIS, NDVI, regression analysis, satellite data, trend analysis, Eurasia, Krasnoyarsk [Russian Federation], Russian Federation

Аннотация: It is found that the nonlinear positive Normalized Difference Vegetation Index (NDVI) trend of mountain taiga in the south of Krasnoyarsk Krai has been negative since 1999-2000. A comparison with the boreal belt of northern Eurasia showed that, though still nonnegative, the positive trend has distinctly decreased to nearly a plateaПоказать полностьюu. A trend analysis of radiation temperature of the surface revealed that the temperature shows a decreasing trend for the selected region of mountainous taiga and an increasing trend for northern Eurasia. We compared air-temperature data from the Yermakovskoe meteorological station to eliminate a preliminary data-processing error. Regression analysis demonstrated a fairly high degree of correlation. Also, we found a quite high degree of correlation between time series and trends of air temperature and NDVI. Trends in air temperature in northern Eurasia according to NCEP-DOE Reanalysis 2 data also confirm the trend found on the basis of satellite data.

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Издание

Журнал: IZVESTIYA ATMOSPHERIC AND OCEANIC PHYSICS

Выпуск журнала: Vol. 49, Is. 9

Номера страниц: 1047-1056

ISSN журнала: 00014338

Место издания: NEW YORK

Издатель: MAIK NAUKA/INTERPERIODICA/SPRINGER

Авторы

  • Shevyrnogov A.P. (Siberian Federal University)
  • Chernetskiy M.Y. (Institute of Biophysics, Siberian Branch,Russian Academy of Sciences)
  • Vysotskaya G.S. (Institute of Computational Modeling, Siberian Branch,Russian Academy of Sciences)

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