Noise reduction of NDVI time series: An empirical comparison of selected techniques
Noise reduction of NDVI time series: An empirical comparison of selected techniques
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DOI：
10.1016/j.rse.2008.09.003
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发表时间：
2009-01-15
影响因子：
13.5
通讯作者：
McDermid, Gregory J.
中科院分区：
文献类型：
--
作者：
Hird, Jennifer N.;McDermid, Gregory J.
卫星衍生的NDVI时间序列是植被物候遥感的基础，但其应用受到主要由不同大气条件和太阳传感器表面观测几何形状引起的普遍噪声的阻碍。对六种选定的NDVI时间序列降噪技术进行了基于模型的经验比较，发现双逻辑逻辑和非对称高斯函数拟合方法比四种替代滤波技术具有普遍的优势。然而，进一步的分析表明，噪声水平、强度和偏差以及物候变量的提取对技术性能有很强的影响。在选择降噪方法时，特别是在推导物候变量时，强烈提醒用户考虑他们的最终目标和NDVI数据集中存在的噪声的性质。(C) 2008爱思唯尔公司版权所有。
Satellite-derived NDVI time series are fundamental to the remote sensing of vegetation phenology, but their application is hindered by prevalent noise resulting chiefly from varying atmospheric conditions and sunsensor-surface viewing geometries. A model-based empirical comparison of six selected NDVI time series noise-reduction techniques revealed the general superiority of the double logistic and asymmetric Gaussian function-fitting methods over four alternative filtering techniques. However, further analysis demonstrated the strong influence of noise level, strength, and bias, and the extraction of phenological variables on technique performance. Users are strongly cautioned to consider both their ultimate objectives and the nature of the noise present in an NDVI data set when selecting an approach to noise reduction, particularly when deriving phenological variables. (C) 2008 Elsevier Inc. All rights reserved.