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首页> 外文会议>Remote Sensing and Photogrammetry Society annual conference 2011 >Vegetation phenology of Northern China from SPOT-VEGETATION and the influence of climate
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Vegetation phenology of Northern China from SPOT-VEGETATION and the influence of climate

机译：从点植被看中国北方植被物候与气候影响

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摘要

This paper demonstrates an empirical link between temperature and vegetation phenology, and environmental changes in vegetation productivity and vegetation phenology in Northern China over 11 years. SPOT Vegetation derived NDVI at 10-day (dekad) temporal resolution was analysed over Northern China from 1998 to 2009. We extracted phenological information from NDVI time-series by deriving three indices: start and end of the growing season, and the time-integrated NDVI as an indicator of seasonal vegetation productivity. In this process, the camelback algorithm (Balzter et al., 2007) was used to define the dates of green-up and dormancy. The derived timing-based phenological matrices in eight Koppen climate classes indicate an overall advance of the start of the growing season and a statistically significant increase in NDVI-based productivity. A regression analysis between corresponding phenological and temperature variables for each year found positive trends in the onset of green-up and negative trends in vegetation dormancy on both pixel and climate-type basis. In nearly all years, the earlier start of the growing season (SOS) is related to warmer weather in the preceding three months, while higher temperatures in the three months before the end of the growing season (EOS) have the effect of delaying EOS.
机译：本文证明了华北地区11年间温度与植被物候学与植被生产力和植被物候学的环境变化之间的经验联系。分析了1998年至2009年中国北方地区SPOT植被在10天（原始）时间分辨率下获得的NDVI。我们通过得出三个指数（生长季节的开始和结束以及时间积分）从NDVI时间序列中提取了物候信息。 NDVI可作为季节性植被生产力的指标。在此过程中，使用了驼背算法（Balzter et al。，2007）来定义绿化和休眠的日期。在八种Koppen气候类别中，基于时序的物候矩阵得出的结果表明，生长季节开始总体上有所进展，而基于NDVI的生产力在统计上也有了显着提高。每年在相应的物候和温度变量之间的回归分析发现，在像素和气候类型的基础上，绿化发生的积极趋势和植被休眠的消极趋势。在几乎所有年份中，生长季节（SOS）的较早开始与前三个月的天气变暖有关，而生长季节（EOS）结束前的三个月中较高的温度会延迟EOS。

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