Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Galina Vysotskaya"'
Publikováno v:
WIDER Working Paper.
Autor:
L. A. Somova, Tamara I. Pisman, Anatoly P. Shevyrnogov, A. G. Degermendzhi, Galina Vysotskaya
Publikováno v:
Doklady Earth Sciences. 493:658-660
The tundra was divided into different classes depending on the temperature and precipitation in accordance with the Holdridge classification. Dry, moist, wet, and rainy tundras were distinguished. Datasets on climate variability were obtained from th
Autor:
Anatoly P. Shevyrnogov, Tamara I. Pisman, N. A. Kononova, I. Yu. Botvich, A. A. Larko, Galina Vysotskaya
Publikováno v:
Izvestiya, Atmospheric and Oceanic Physics. 55:1353-1361
This article presents investigation data on the seasonal dynamics of productivity, status, and species composition of vegetation on fallow lands in the Krasnoyarsk forest steppe (Middle Siberia) obtained from terrain and satellite materials from 2017
Autor:
T.N. Demyanenko, I.Yu. Botvich, A. A. Larko, Galina Vysotskaya, V.K. Ivchenko, D.V. Emelyanov, Anatoly P. Shevyrnogov
Publikováno v:
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 16:150-160
Publikováno v:
Izvestiya, Atmospheric and Oceanic Physics. 49:1047-1056
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, tho
Publikováno v:
Advances in Space Research. 43:206-213
In this work historical investigations and modern results of classification of the Krasnoyarsk Reservoir are presented. The paper presents results of studying the dynamics of phytopigments and other optically active components, using multispectral sa
Publikováno v:
Advances in Space Research. 41:36-40
The paper shows the efficiency of an application of the vegetation index image time series to determine long-term vegetation dynamics. The influence of large industrial centers of Siberia on the near-by vegetation is demonstrated. The analysis of the
Publikováno v:
Aquatic Ecology. 36:153-164
This work describes avenues to use satellite information to analyse dynamic processes in aquatic ecosystems. Information for this analysis, was retrieved from AVHRR satellite sensor data. This information consisteds of time series of images of radiat
Publikováno v:
Advances in Space Research. 26:1169-1172
Deep insight into types of vegetation variability provided by AVHRR space scanner images of vegetation index spatial distribution helps reveal impact of land surface changes on environment. The Institute of Computational Modeling SB RAS has developed
Publikováno v:
Advances in Space Research. 18:129-132
To estimate the seasonal progress of the production process over the planet and its long-standing trend it is important to measure not only the spatial distributions of pigment that represent the rates of photosynthesis but also their time variabilit