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Phenological Metrics Derived over the European Continent from NDVI3g Data and MODIS Time Series

机译:从NDVI3g数据和MODIS时间序列得出的欧洲大陆的物候指标

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Time series of normalized difference vegetation index (NDVI) are important data sources for environmental monitoring. Continuous efforts are put into their production and updating. The recently released Global Inventory Modeling and Mapping Studies (GIMMS) NDVI3g data set is a consistent time series with 1/12° spatial and bi-monthly temporal resolution. It covers the time period from 1981 to 2011. However, it is unclear if vegetation density and phenology derived from GIMMS are comparable to those obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) NDVI with 250 m ground resolution. To check the consistency between GIMMS and MODIS data sets, a comparative analysis was performed. For a large European window (40 × 40°), data distribution, spatial and temporal agreement were analyzed, as well as the timing of important phenological events. Overall, only a moderately good agreement of NDVI values was found. Large differences occurred during winter. Large discrepancies were also observed for phenological metrics, in particular the start of season. Information regarding the maximum of season was more consistent. Hence, both data sets should be well inter-calibrated before being used concurrently.
机译:归一化差异植被指数(NDVI)的时间序列是进行环境监测的重要数据来源。他们不断地努力进行生产和更新。最近发布的全球清单建模和制图研究(GIMMS)NDVI3g数据集是一个具有1/12°空间和两个月时间分辨率的一致时间序列。它涵盖了从1981年到2011年的时间段。但是,尚不清楚GIMMS得出的植被密度和物候是否可与地面分辨率为250 m的中分辨率成像光谱仪(MODIS)NDVI相比。为了检查GIMMS和MODIS数据集之间的一致性,进行了比较分析。对于较大的欧洲窗口(40×40°),分析了数据分布,时空一致性以及重要物候事件的发生时间。总体而言,仅发现NDVI值适度良好的一致性。冬季差异很大。在物候指标上也观察到较大差异,尤其是在季节开始时。有关最大季节的信息更加一致。因此,两个数据集在同时使用之前应进行良好的相互校准。

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