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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Comparison and Evaluation of Annual NDVI Time Series in China Derived from the NOAA AVHRR LTDR and Terra MODIS MOD13C1 Products
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Comparison and Evaluation of Annual NDVI Time Series in China Derived from the NOAA AVHRR LTDR and Terra MODIS MOD13C1 Products

机译：来自NOAA AVHRR LTDR和Terra MODIS MOD13C1产品的中国年度NDVI时间序列的比较和评估

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Time series of Normalized Difference Vegetation Index (NDVI) derived from multiple satellite sensors are crucial data to study vegetation dynamics. The Land Long Term Data Record Version 4 (LTDR V4) NDVI dataset was recently released at a 0.05 × 0.05° spatial resolution and daily temporal resolution. In this study, annual NDVI time series that are composited by the LTDR V4 and Moderate Resolution Imaging Spectroradiometer (MODIS) NDVI datasets (MOD13C1) are compared and evaluated for the period from 2001 to 2014 in China. The spatial patterns of the NDVI generally match between the LTDR V4 and MOD13C1 datasets. The transitional zone between high and low NDVI values generally matches the boundary of semi-arid and sub-humid regions. A significant and high coefficient of determination is found between the two datasets according to a pixel-based correlation analysis. The spatially averaged NDVI of LTDR V4 is characterized by a much weaker positive regression slope relative to that of the spatially averaged NDVI of the MOD13C1 dataset because of changes in NOAA AVHRR sensors between 2005 and 2006. The measured NDVI values of LTDR V4 were always higher than that of MOD13C1 in western China due to the relatively lower atmospheric water vapor content in western China, and opposite observation appeared in eastern China. In total, 18.54% of the LTDR V4 NDVI pixels exhibit significant trends, whereas 35.79% of the MOD13C1 NDVI pixels show significant trends. Good agreement is observed between the significant trends of the two datasets in the Northeast Plain, Bohai Economic Rim, Loess Plateau, and Yangtze River Delta. By contrast, the datasets contrasted in northwestern desert regions and southern China. A trend analysis of the regression slope values according to the vegetation type shows good agreement between the LTDR V4 and MOD13C1 datasets. This study demonstrates the spatial and temporal consistencies and discrepancies between the AVHRR LTDR and MODIS MOD13C1 NDVI products in China, which could provide useful information for the choice of NDVI products in subsequent studies of vegetation dynamics.
机译：来自多个卫星传感器的归一化植被指数（NDVI）的时间序列是研究植被动态的关键数据。土地长期数据记录第4版（LTDR V4）NDVI数据集最近以0.05×0.05°的空间分辨率和每日时间分辨率发布。在这项研究中，比较并评估了2001年至2014年期间由LTDR V4和中分辨率成像光谱仪（MODIS）NDVI数据集（MOD13C1）合成的年度NDVI时间序列。 NDVI的空间模式通常在LTDR V4和MOD13C1数据集之间匹配。高和低NDVI值之间的过渡区域通常与半干旱和半湿润地区的边界匹配。根据基于像素的相关性分析，在两个数据集之间发现了很高的确定系数。 LTDR V4的空间平均NDVI的特征在于，相对于MOD13C1数据集的空间平均NDVI的正回归斜率要弱得多，这是因为2005年至2006年之间NOAA AVHRR传感器的变化。LTDRV4的NDVI实测值始终较高由于中国西部的大气水汽含量相对较低，因此比中国西部的MOD13C1相对要低，而在中国东部则出现了相反的观察。总体上，LTDR V4 NDVI像素的18.54％呈现显着趋势，而MOD13C1 NDVI像素的35.79％呈现显着趋势。在东北平原，环渤海经济圈，黄土高原和长江三角洲这两个数据集的显着趋势之间观察到很好的一致性。相反，这些数据集在西北沙漠地区和中国南方形成了对比。根据植被类型对回归坡度值进行趋势分析表明，LTDR V4和MOD13C1数据集之间具有良好的一致性。这项研究表明了中国AVHRR LTDR和MODIS MOD13C1 NDVI产品之间的时空一致性和差异，这可以为随后的植被动态研究中选择NDVI产品提供有用的信息。

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