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Proceedings of the International Association of Hydrological Sciences An open-access publication for refereed proceedings in hydrology
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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.
PIAHS | Articles | Volume 379
Proc. IAHS, 379, 105–112, 2018
https://doi.org/10.5194/piahs-379-105-2018
Proc. IAHS, 379, 105–112, 2018
https://doi.org/10.5194/piahs-379-105-2018

Pre-conference publication 05 Jun 2018

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 Han et al.

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Cited articles

Cai, M., Lv, Y., Yang, S., and Zhou, Q.: TRMM precipitation downscaling in the data scarce Yarlung Zangbo River Basin, Journal of Beijing Normal University, Natural Science, 1, 111–119, 2017. 
Chen, B., Li, H., Cao, X., Shen, W., and Jin, H.: Vegetation Pattern and Spatial Distribution of NDVI in the Yarlung Zangbo River Basin of China, Journal of Desert Research, 1, 120–128, 2015. 
Chen, B., Li, H., Cao, X., and Tang, H.: Dynamic Changes in Vegetation Coverage in the Yarlung Zangbo River Basin Based on SPOT – VGT NDVI, Mountain Research, 2, 249–256, 2016. 
Feng, X., Luo, L., and Feng, Z.: Hurst index experiment on precipitation change trend and mutation of China in the near 50 years, Arid Land Geography, 6, 859–866, 2009. 
Guo, B., Zhou, Y., Wang, S., and Tao, H.: The relationship between normalized difference vegetation index (NDVI) and climate factors in the semiarid region: A case study in Yalu Tsangpo River basin of Qinghai-Tibet Plateau, J. Mt. Sci., 11, 926–940, https://doi.org/10.1007/s11629-013-2902-3, 2014. 
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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.
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