首页> 外文会议>Remote Sensing and Modeling of Ecosystems for Sustainability IV; Proceedings of SPIE-The International Society for Optical Engineering; vol.6679 >Response characteristic analysis of climate change of vegetation activity in Huang-Huai-Hai area based on NOAA NDVI data set
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Response characteristic analysis of climate change of vegetation activity in Huang-Huai-Hai area based on NOAA NDVI data set

机译:基于NOAA NDVI数据集的黄淮海地区植被活动气候变化响应特征分析

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Based on 1982-2003 GIMMS NDVI soundings and climate data by use of techniques for the trend, correlation and SVD analysis, this work is devoted to the space/time patterns of the response to climate change of the vegetation activity in the Huan-Huai-Hai area (HHHA). Results suggest that the area shows a more significant wanning trend and less distinct aridization, on the whole, with annual mean NDVI displaying a marginally increasing trend. On a yearly basis, NDVI is the most sensitive to climate factors, and annual temperature, rainfall and relative humidity (evaporation) exert positive (negative) effect on the dynamic variation in vegetation NDVI. On a seasonal scale, temperature and rainfall are the most strongly influencing factors, with autumnal climate having heavier impact on yearly mean NDVI. Natural vegetation is predominantly sensitive to rainfall and, to a less degree, to temperature; agricultural vegetation is sensitive dominantly to temperature and, to less extent, to rainfall. April - September vegetation response to climate has the space patterns as follows. The anomaly field of NDVI has 1) the same structure as that of temperature, 2) an anti-correlation structure with anomalies of evaporation, 3) a see-saw distribution with positive (negative) correlation in the north (south) with that of rainfall anomalies, and 4) an opposite distribution with positive (negative) correlations in the south (north) to that of relative humidity.
机译:基于1982-2003年GIMMS NDVI测深和气候数据,利用趋势,相关性和SVD分析技术,这项工作致力于研究Huan-Huai-Human-Hua-Hua-Hua-Hua-Hua-Hua-Hua-N-N-N-N植被活动对气候变化的响应的时空格局。海区(HHHA)。结果表明,该地区总体上呈现出更显着的下降趋势,而少见的干旱化程度较低,年均NDVI呈现出略有上升的趋势。每年,NDVI对气候因素最敏感,每年的温度,降雨和相对湿度(蒸发)对植被NDVI的动态变化产生正(负)影响。在季节尺度上,温度和降雨量是最强烈的影响因素,秋季气候对年均NDVI的影响更大。天然植被主要对降雨敏感,而对温度敏感程度较低;农业植被主要对温度敏感,而对降雨敏感。 4月至9月植被对气候的响应具有以下空间格局。 NDVI的异常场具有1)与温度相同的结构,2)具有蒸发异常的反相关结构,3)与北向(南)正相关(负)的跷跷板分布。降雨异常; 4)在南部(北部)与相对湿度呈正(负)相关的相反分布。

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