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Validating MODIS and Sentinel-2 NDVI Products at a Temperate Deciduous Forest Site Using Two Independent Ground-Based Sensors

机译:使用两个独立的基于地面传感器在温带落叶林网站上验证MODIS和SENTINEL-2 NDVI产品

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摘要

Quantifying the accuracy of remote sensing products is a timely endeavor given the rapid increase in Earth observation missions. A validation site for Sentinel-2 products was hence established in central Germany. Automatic multispectral and hyperspectral sensor systems were installed in parallel with an existing eddy covariance flux tower, providing spectral information of the vegetation present at high temporal resolution. Normalized Difference Vegetation Index (NDVI) values from ground-based hyperspectral and multispectral sensors were compared with NDVI products derived from Sentinel-2A and Moderate-resolution Imaging Spectroradiometer (MODIS). The influence of different spatial and temporal resolutions was assessed. High correlations and similar phenological patterns between in situ and satellite-based NDVI time series demonstrated the reliability of satellite-based phenological metrics. Sentinel-2-derived metrics showed better agreement with in situ measurements than MODIS-derived metrics. Dynamic filtering with the best index slope extraction algorithm was nevertheless beneficial for Sentinel-2 NDVI time series despite the availability of quality information from the atmospheric correction procedure.
机译:量化遥感产品的准确性是一个及时的努力,鉴于地球观测任务的快速增加。因此,Sentinel-2产品的验证网站在德国中部建立。自动多光谱和高光谱传感器系统与现有的涡旋协方差通量塔平行安装,提供高时分辨率存在的植被的光谱信息。将来自地面高光谱和多光谱传感器的归一化差异植被指数(NDVI)值与来自Sentinel-2a和中等分辨率成像光谱仪(MODIS)的NDVI产品进行比较。评估不同空间和时间分辨率的影响。原位和基于卫星的NDVI时间序列之间的高相关性和类似酚类模式证明了基于卫星的鉴性度量的可靠性。 Sentinel-2派生的指标显示比Modis派生指标与原位测量更好。尽管有大气校正程序的质量信息可用,但具有最佳指标斜率提取算法的动态滤波是有益的,尽管有大气校正程序的质量信息可用。

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