Spatiotemporal variations in remote sensing phenology of vegetation and its responses to temperature change of boreal forest in tundrataiga transitional zone in the Eastern Siberia |
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作者姓名: | LI Cheng ZHUANG Dafang HE Jianfeng WEN Kege |
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作者单位: | 1. State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, CAS;2. University of Chinese Academy of Sciences |
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基金项目: | Major Special Project-The China High-Resolution Earth Observation System,No.30-Y20A07-9003-17/18; |
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摘 要: | Phenology is an important indicator of climate change. Studying spatiotemporal variations in remote sensing phenology of vegetation can provide a basis for further analysis of global climate change. Based on time series data of MODIS-NDVI from 2000 to 2017, we extracted and analyzed four remote sensing phenological parameters of vegetation, including the Start of Season(SOS), the End of Season(EOS), the Middle of Season(MOS) and the Length of Season(LOS), in tundra-taiga transitional zone in the...
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