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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Evaluation of the consistency of long-term NDVI time series derived from AVHRR,SPOT-vegetation, SeaWiFS, MODIS, and Landsat ETM+ sensors
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Evaluation of the consistency of long-term NDVI time series derived from AVHRR,SPOT-vegetation, SeaWiFS, MODIS, and Landsat ETM+ sensors

机译:评估源自AVHRR,SPOT植被,SeaWiFS,MODIS和Landsat ETM +传感器的长期NDVI时间序列的一致性

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This paper evaluates the consistency of the Normalized Difference Vegetation Index (NDVI) records derived from Advanced Very High Resolution Radiometer (AVHRR), SPOT-Vegetation, SeaWiFS, Moderate Resolution Imaging Spectroradiometer, and Landsat ETM+. We used independently derived NDVI from atmospherically corrected ETM+ data at 13 Earth Observation System Land Validation core sites, eight locations of drought, and globally aggregated one-degree data from the four coarse resolution sensors to assess the NDVI records agreement. The objectives of this paper are to: 1) compare the absolute and relative differences of the vegetation signal across these sensors from a user perspective, and, to a lesser degree, 2) evaluate the possibility of merging the AVHRR historical data record with that of the more modern sensors in order to provide historical perspective on current vegetation activities. The statistical and correlation analyses demonstrate that due to the similarity in their overall variance, it is not necessary to choose between the longer time series of AVHRR and the higher quality of the more modern sensors. The long-term AVHRR-NDVI record provides a critical historical perspective on vegetation activities necessary for global change research and, thus, should be the basis of an intercalibrated, sensor-independent NDVI data record. This paper suggests that continuity is achievable given the similarity between these datasets.
机译:本文评估了源自超高分辨率高分辨率辐射计(AVHRR),SPOT植被,SeaWiFS,中分辨率成像光谱仪和Landsat ETM +的归一化植被指数(NDVI)记录的一致性。我们使用了从13个地球观测系统土地验证核心站点,八个干旱地点的大气校正ETM +数据中独立获得的NDVI,以及来自四个粗分辨率传感器的全球汇总一度数据,以评估NDVI记录的一致性。本文的目的是:1)从用户的角度比较这些传感器上的植被信号的绝对和相对差异,并在较小程度上,2)评估将AVHRR历史数据记录与以下内容合并的可能性为了提供有关当前植被活动的历史视角的更现代的传感器。统计和相关分析表明,由于它们的总体方差相似,因此不必在较长的AVHRR时间序列与更高质量的现代传感器之间进行选择。长期的AVHRR-NDVI记录为全球变化研究所必需的植被活动提供了重要的历史观点,因此,应作为相互校准的,独立于传感器的NDVI数据记录的基础。本文建议,鉴于这些数据集之间的相似性,可以实现连续性。

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