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Comparison of AVHRR-Based Global Data Records

机译:基于AVHRR的全球数据记录的比较

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Several global data sets have been developed from the AVHRR instrument measuring reflectance/emission of the Earth since the early 1980s. The longest datasets currently available for users are NOAA's Global Vegetation Health (GVH), NASA's Global Inventory Modeling and Mapping Studies (GIMMS) and Land Long Term data Records (LTDR). The GVH has 30-year records (1981-2010), GIMMS - 26 (1981-2006) and LTDR - 19 (1981-1999). These datasets have different spatial and temporal resolutions, processing methods (sampling, calibration, noise removal, mapping, gap treatment etc.), applicability, availability, distribution etc. They have been used frequently for monitoring earth surface, atmosphere near the ground and analysis of climate related land surface trends. Since one of the common features of these datasets is the Normalized Difference Vegetation Index (NDVI) this paper is focusing on comparison of NDVI time series, specifically comparing time series dynamics and trends. It is shown that GIMMS NDVI is two to three times higher and has steeper long-term trend compared to GVH and LTDR.
机译:自1980年代初以来,已经通过AVHRR仪器开发了一些全球数据集,用于测量地球的反射率/发射率。当前可供用户使用的最长数据集是NOAA的全球植被健康(GVH),NASA的全球清单建模和制图研究(GIMMS)和土地长期数据记录(LTDR)。 GVH拥有30年的记录(1981-2010),GIMMS-26(1981-2006)和LTDR-19(1981-1999)。这些数据集具有不同的时空分辨率,处理方法(采样,校准,噪声消除,映射,间隙处理等),适用性,可用性,分布等。它们经常用于监视地球表面,地面附近的大气和分析与气候有关的地表趋势。由于这些数据集的共同特征之一是归一化植被指数(NDVI),因此本文着重比较NDVI时间序列,尤其是比较时间序列动态和趋势。结果表明,与GVH和LTDR相比,GIMMS NDVI高出2到3倍,并且具有更陡峭的长期趋势。

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