Using remote sensing technology to estimate phenology change in the hinterland on Tibet Plateau

DOI

10.2991/icitmi-15.2015.121How to use a DOI?

Keywords

Remote sensing sensor;NDVI ratio;phenological change;Tibetan Plateau;spring temperature

Abstract

Recent studies have detected the amplitude of spring plant phenology in whole Tibet Plateau and growing season by remote sensing technology. However, few studies have examined that how the plant phenology has changed in the past decade. At the regional scale, we investigated the phenological variations in five regions (Dingri, Gaize, Pula, Yangtze River and Yellow River source areas) in the hinterland of the Tibetan Plateau from 2001 to 2010 using remote sensing technology. To analyze differentiation of vegetation phenology, we characterize the green up variation along a gradient from outer edge to inland horizontal zonation on the Tibetan Plateau using remote sensing technology. To examine phenological inter-annual variation, we found that a significant lengthening of vegetation growing season has been occurring in most study regions, marked by an earlier beginning. Taking 31°N as the boundary, the beginning of the growing season (BGS) for alpine vegetation in Dingri area in the southern Tibetan Plateau delayed of 11.6 days from 2001 to 2010, however it shows an obvious advance trend in northern area of the Tibetan Plateau. Interestingly, the advance days of BGS is increasing from 5.1 days/decade to 13.1 days/decade in northern Tibet Plateau during the last decade. The inter-annual variation of the end of the growing season for alpine vegetation was not obvious, and most of the study regions had natural inter-annual fluctuations. Analysis of the meteorological records in the study areas shows that spring temperature rising appears to be a critical factor contributing to the earlier green up and prolonged growing season in the northern TP; nevertheless, spring precipitation plays a more important role than spring temperature in Dingri region in the southern Tibetan Plateau.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xuejiao Wu
AU  - Anxin Lu
AU  - Guobao Xu
AU  - Huawei Zhang
PY  - 2015/10
DA  - 2015/10
TI  - Using remote sensing technology to estimate phenology change in the hinterland on Tibet Plateau
BT  - Proceedings of the 4th International Conference on Information Technology and Management Innovation
PB  - Atlantis Press
SP  - 724
EP  - 732
SN  - 2352-538X
UR  - https://doi.org/10.2991/icitmi-15.2015.121
DO  - 10.2991/icitmi-15.2015.121
ID  - Wu2015/10
ER  -