Spatial distribution and its seasonality of satellite‐derived vegetation index (NDVI) and climate in Siberia
Abstract The Normalized Difference Vegetation Index (NDVI) distribution and its seasonal cycle were investigated in relation to temperature and precipitation over Siberia and its surrounding regions. The analyses used 5‐year (1987–1991) monthly means. The monthly mean NDVI was calculated from the th...
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crwiley:10.1002/joc.653 2024-06-23T07:57:19+00:00 Spatial distribution and its seasonality of satellite‐derived vegetation index (NDVI) and climate in Siberia Suzuki, Rikie Nomaki, Tomoyuki Yasunari, Tetsuzo 2001 http://dx.doi.org/10.1002/joc.653 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjoc.653 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.653 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor International Journal of Climatology volume 21, issue 11, page 1321-1335 ISSN 0899-8418 1097-0088 journal-article 2001 crwiley https://doi.org/10.1002/joc.653 2024-06-11T04:43:12Z Abstract The Normalized Difference Vegetation Index (NDVI) distribution and its seasonal cycle were investigated in relation to temperature and precipitation over Siberia and its surrounding regions. The analyses used 5‐year (1987–1991) monthly means. The monthly mean NDVI was calculated from the third‐generation monthly Global Vegetation Index (GVI) product; monthly temperature and precipitation at 611 stations were calculated from Global Daily Summary (GDS) data. The 611 stations were classified by cluster analysis into 10 classes based on the NDVI seasonal cycle (March–October). The geographical distribution characteristics of the NDVI cycle were described using temperature, precipitation and Olson's land‐cover type. In northern regions, where tundra vegetation prevails and temperatures and precipitation are low, the amplitude of the NDVI seasonal cycle is small. In southern regions, where temperatures are high and there is little precipitation, the seasonal amplitude of the NDVI is small because of the arid land type. Forested regions were split into six classes, each characterized by large amplitudes in the NDVI seasonal cycle. The phenological characteristics of the forest classes were noted. For example, a forest‐class localized near Lake Baikal shows higher NDVI values, even with the presence of snow cover in March, compared with other regions. This high NDVI value suggests that the exposed green canopy of the coniferous forest can be observed even when snow is present. In addition, the NDVI peaks at stations near 60°N, where the maximum monthly temperature is around 18°C. This result suggests that the optimum temperature‐precipitation environment coincides to the area in Siberia where the maximum monthly temperature is 18°C. Copyright © 2001 Royal Meteorological Society Article in Journal/Newspaper Tundra Siberia Wiley Online Library International Journal of Climatology 21 11 1321 1335 |
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Open Polar |
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Wiley Online Library |
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language |
English |
description |
Abstract The Normalized Difference Vegetation Index (NDVI) distribution and its seasonal cycle were investigated in relation to temperature and precipitation over Siberia and its surrounding regions. The analyses used 5‐year (1987–1991) monthly means. The monthly mean NDVI was calculated from the third‐generation monthly Global Vegetation Index (GVI) product; monthly temperature and precipitation at 611 stations were calculated from Global Daily Summary (GDS) data. The 611 stations were classified by cluster analysis into 10 classes based on the NDVI seasonal cycle (March–October). The geographical distribution characteristics of the NDVI cycle were described using temperature, precipitation and Olson's land‐cover type. In northern regions, where tundra vegetation prevails and temperatures and precipitation are low, the amplitude of the NDVI seasonal cycle is small. In southern regions, where temperatures are high and there is little precipitation, the seasonal amplitude of the NDVI is small because of the arid land type. Forested regions were split into six classes, each characterized by large amplitudes in the NDVI seasonal cycle. The phenological characteristics of the forest classes were noted. For example, a forest‐class localized near Lake Baikal shows higher NDVI values, even with the presence of snow cover in March, compared with other regions. This high NDVI value suggests that the exposed green canopy of the coniferous forest can be observed even when snow is present. In addition, the NDVI peaks at stations near 60°N, where the maximum monthly temperature is around 18°C. This result suggests that the optimum temperature‐precipitation environment coincides to the area in Siberia where the maximum monthly temperature is 18°C. Copyright © 2001 Royal Meteorological Society |
format |
Article in Journal/Newspaper |
author |
Suzuki, Rikie Nomaki, Tomoyuki Yasunari, Tetsuzo |
spellingShingle |
Suzuki, Rikie Nomaki, Tomoyuki Yasunari, Tetsuzo Spatial distribution and its seasonality of satellite‐derived vegetation index (NDVI) and climate in Siberia |
author_facet |
Suzuki, Rikie Nomaki, Tomoyuki Yasunari, Tetsuzo |
author_sort |
Suzuki, Rikie |
title |
Spatial distribution and its seasonality of satellite‐derived vegetation index (NDVI) and climate in Siberia |
title_short |
Spatial distribution and its seasonality of satellite‐derived vegetation index (NDVI) and climate in Siberia |
title_full |
Spatial distribution and its seasonality of satellite‐derived vegetation index (NDVI) and climate in Siberia |
title_fullStr |
Spatial distribution and its seasonality of satellite‐derived vegetation index (NDVI) and climate in Siberia |
title_full_unstemmed |
Spatial distribution and its seasonality of satellite‐derived vegetation index (NDVI) and climate in Siberia |
title_sort |
spatial distribution and its seasonality of satellite‐derived vegetation index (ndvi) and climate in siberia |
publisher |
Wiley |
publishDate |
2001 |
url |
http://dx.doi.org/10.1002/joc.653 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjoc.653 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.653 |
genre |
Tundra Siberia |
genre_facet |
Tundra Siberia |
op_source |
International Journal of Climatology volume 21, issue 11, page 1321-1335 ISSN 0899-8418 1097-0088 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1002/joc.653 |
container_title |
International Journal of Climatology |
container_volume |
21 |
container_issue |
11 |
container_start_page |
1321 |
op_container_end_page |
1335 |
_version_ |
1802650887121797120 |