Recent Signal of Vegetation Change in Siberia Using Satellite Data
-
- SAKAI Hidetaka
- Graduate School of Science and Technology, Chiba University, Japan
-
- SUZUKI Rikie
- Frontier Research Center for Global Change, <BR>Japan Agency for Marine-Earth Science and Technology Center for Environmental Remote Sensing, Chiba University
-
- KONDOH Akihiko
- Center for Environmental Remote Sensing, Chiba University
Bibliographic Information
- Other Title
-
- 衛星データによる近年の東シベリアにおける植生変化のシグナル抽出
- エイセイ データ ニ ヨル キンネン ノ ヒガシシベリア ニ オケル ショクセイ ヘンカ ノ シグナル チュウシュツ
Search this article
Abstract
Global vegetation index data based on the observation of the satellite NOAA from 1980's enabled us to analyze the vegetation change over continental-scale regions for 20 years and more. An increasing trend of vegetation in boreal forests has been reported by some previous studies. Since the signal of such trend in the vegetation is probably apparent in the ecotone, detailed investigation should be required in the region of ecotone. This study targeted the ecotone from the boreal forest to the tundra in eastern Siberia, and examined the 19-year (1982 to 2000) trend of the satellite-derived vegetation index by using two kinds of parameters, i.e., the annual accumulative NDVI (∑NDVI) and the annual maximum NDVI (MaxNDVI). As a result, we confirmed that ∑NDVI showed an increasing trend in the boreal forest as previous studies pointed out. By contrast, an increasing trend of MaxNDVI was found over the region to the north of the boreal forest (transitional zone between the boreal forest and the tundra). This suggests that signals due to the biomass increase or the vegetation change occurred in the region are detected.
Journal
-
- JOURNAL OF JAPAN SOCIETY OF HYDROLOGY AND WATER RESOURCES
-
JOURNAL OF JAPAN SOCIETY OF HYDROLOGY AND WATER RESOURCES 21 (1), 50-56, 2008
THE JAPAN SOCIETY OF HYDROLOGY AND WATER RESOURCES
- Tweet
Details 詳細情報について
-
- CRID
- 1390282679415870464
-
- NII Article ID
- 10020154843
-
- NII Book ID
- AN10088049
-
- ISSN
- 13492853
- 09151389
-
- NDL BIB ID
- 9351327
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- NDL
- Crossref
- CiNii Articles
-
- Abstract License Flag
- Disallowed