首页> 外文会议>Workshop on Hyperspectral Image and Signal Processing >SPATIAL-TEMPORAL INFORMATION EXTRACTION FOR VEGETATION PHENOLOGY VARIATION BASED ON MODIS NDVI DATASETS IN THE TIBETAN PLATEAU
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SPATIAL-TEMPORAL INFORMATION EXTRACTION FOR VEGETATION PHENOLOGY VARIATION BASED ON MODIS NDVI DATASETS IN THE TIBETAN PLATEAU

机译:基于MODIS NDVI数据集的植被候选植被候选的空间信息提取

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Vegetation phenology change is one of the most sensitive and direct indicators of global climate change. It is very important to make an accurate understanding of the spatial and temporal of vegetation phenology variation in the Tibetan Plateau. Based on MODIS (Moderate-Resolution Imaging Spectroradiometer) NDVI (Normalized Difference Vegetation Index) data from 2001 to 2013, we studied the extraction models of the vegetation phenology in the Tibetan Plateau with maximum change slope method. After the analysize of 13 years vegetation phenology, the results showed that(1) the vegetation phenology in the Tibetan plateau showed obvious spatial distribution rule from the southeast to the northwest. (2) alpine steppe started to grow when the temperature reached 5°C (3) there was no obvious change in the start of growing season (SOS) in the Tibetan Plateau over the past 13 years as the end of seanson (EOS) following a more complex change. (4) Vegetation phenology obtaining from remote sensing were different from the traditional sense of the phenology.
机译:植被候选变化是全球气候变化最敏感和最敏感和直接指标之一。准确地了解藏高原植被候选素质变化的空间和时间非常重要。基于MODIS(适度分辨率成像分光镜)NDVI(标准化差异植被指数)数据从2001年到2013年,我们研究了藏高平台植被酚类素质的提取模型,最大变化斜率法。分析13年植被候选后,结果表明,(1)西藏高原植被候选群体从东南部到西北部的明显空间分布规则。 (2)高山草原在达到5°C达到5°C(3)时,在过去的13年里,在苏森(EOS)结束后,藏高高原的生长季节(SOS)开始没有明显变化更复杂的变化。 (4)从遥感中获得的植被候选与传统的候选意义不同。

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