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Proc. IAHS, 379, 105-112, 2018
https://doi.org/10.5194/piahs-379-105-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Pre-conference publication
05 Jun 2018
Analysis of vegetation condition and its relationship with meteorological variables in the Yarlung Zangbo River Basin of China
Xianming Han1,2, Depeng Zuo1,2, Zongxue Xu1,2, Siyang Cai1,2, and Xiaoxi Gao1,2 1College of Water Sciences, Beijing Normal University, Beijing 100875, China
2Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing 100875, China
Abstract. The Yarlung Zangbo River Basin is located in the southwest border of China, which is of great significance to the socioeconomic development and ecological environment of Southwest China. Normalized Difference Vegetation Index (NDVI) is an important index for investigating the change of vegetation cover, which is widely used as the representation value of vegetation cover. In this study, the NDVI is adopted to explore the vegetation condition in the Yarlung Zangbo River Basin during the recent 17 years, and the relationship between NDVI and meteorological variables has also been discussed. The results show that the annual maximum value of NDVI usually appears from July to September, in which August occupies a large proportion. The minimum value of NDVI appears from January to March, in which February takes up most of the percentage. The higher values of NDVI are generally located in the lower elevation area. When the altitude is higher than 3250 m, NDVI began to decline gradually, and the NDVI became gradual stabilization as the elevation is up to 6000 m. The correlation coefficient between NDVI and precipitation in the Yarlung Zangbo River Basin is greater than that with temperature. The Hurst index of the whole basin is 0.51, indicating that the NDVI of the Yarlung Zangbo River Basin shows a weak sustainability.
Citation: Han, X., Zuo, D., Xu, Z., Cai, S., and Gao, X.: Analysis of vegetation condition and its relationship with meteorological variables in the Yarlung Zangbo River Basin of China, Proc. IAHS, 379, 105-112, https://doi.org/10.5194/piahs-379-105-2018, 2018.
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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...
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