Articles | Volume 379
https://doi.org/10.5194/piahs-379-105-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/piahs-379-105-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Pre-conference publication
| 
05 Jun 2018
Pre-conference publication |
| 05 Jun 2018
| 05 Jun 2018
Analysis of vegetation condition and its relationship with meteorological variables in the Yarlung Zangbo River Basin of China
Xianming Han
College of Water Sciences, Beijing Normal University, Beijing 100875, China
Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing 100875, China
Depeng Zuo
CORRESPONDING AUTHOR
College of Water Sciences, Beijing Normal University, Beijing 100875, China
Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing 100875, China
Zongxue Xu
College of Water Sciences, Beijing Normal University, Beijing 100875, China
Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing 100875, China
Siyang Cai
College of Water Sciences, Beijing Normal University, Beijing 100875, China
Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing 100875, China
Xiaoxi Gao
College of Water Sciences, Beijing Normal University, Beijing 100875, China
Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing 100875, China
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Short summary
To further protect the ecology of the study area, remote sensing image technology is used to analyze the temporal and spatial distribution characteristics of vegetation in the Yarlung Zangbo River Basin by splicing the remote sensing image of a time series (from February 2000 to December 2016). It can be found that vegetation coverage is better in low elevation areas,vegetation change shows a weak sustainability and the vegetation growth is more affected by the temperature than the precipitation.
To further protect the ecology of the study area, remote sensing image technology is used to...
