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首页> 外文期刊>International journal of remote sensing >The reconstruction of abnormal segments in HJ-1A/B NDVI time series using MODIS: a statistical method
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The reconstruction of abnormal segments in HJ-1A/B NDVI time series using MODIS: a statistical method

机译：使用MODIS重建HJ-1A / B NDVI时间序列中的异常段：一种统计方法

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摘要

HJ-1A/B is the first small satellite constellation built by China for environmental and disaster monitoring and forecasting. The satellite group has a 2-day repetition cycle and 30m spatial resolution (charge coupled device camera). Thus, HJ-1A/B can provide hyper-temporal normalized difference vegetation index (NDVI) time series with a medium-high spatial resolution. However, the quality of the HJ NDVI time series can be abnormally low due to a number of factors, such as cloud cover, continuous fog, and haze. In the rainy season or in areas with serious atmospheric pollution, low-quality series often appear in succession, which is referred to as an abnormal segment. Neither the composition method nor quality flags satisfactorily solve this problem; therefore, a large amount of noise and long periods of abnormally low values often remain in HJ NDVI time series. This article presents a method to reconstruct the abnormal segments in HJ NDVI time series with the assistance of Moderate Resolution Imaging Spectroradiometer (MODIS) NDVI time series. The cointegration test was adopted to decide whether MODIS can be used for the reconstruction of NDVI time series for the corresponding HJ image pixels. Statistical quality control methods were used for singling out the abnormal segments in the HJ NDVI time series and establishing an error correction model that combines MODIS and HJ NDVI time series to perform the reconstruction. The study area is located in Jiangsu Province, China. Four-year (2009-2012) HJ multispectral images that cover the study area were used. The results show that abnormal segments in the HJ NDVI time series can be corrected using the proposed method. In a particular year, this method can decrease the root mean square error between the HJ NDVI time series and the reference sequence by 52.5%.
机译：HJ-1A / B是中国建造的第一个用于环境和灾害监测与预报的小型卫星星座。卫星组具有2天的重复周期和30m的空间分辨率（电荷耦合设备照相机）。因此，HJ-1A / B可以提供具有中高空间分辨率的超时态归一化植被指数（NDVI）时间序列。但是，由于许多因素（例如云量，连续雾和霾），HJ NDVI时间序列的质量可能异常低。在雨季或大气污染严重的地区，通常会连续出现低质量系列，这被称为异常部分。合成方法和质量标记都不能令人满意地解决此问题；因此，HJ NDVI时间序列中经常会保留大量噪声和长时间的异常低值。本文提出了一种在中等分辨率成像光谱仪（MODIS）NDVI时间序列的帮助下重建HJ NDVI时间序列中异常段的方法。采用协整测试来确定是否可以将MODIS用于相应的HJ图像像素的NDVI时间序列的重建。统计质量控制方法用于将HJ NDVI时间序列中的异常段分离出来，并建立将MODIS和HJ NDVI时间序列相结合的纠错模型以进行重构。研究区域位于中国江苏省。使用覆盖研究区域的四年（2009-2012年）HJ多光谱图像。结果表明，使用该方法可以纠正HJ NDVI时间序列中的异常段。在特定年份，此方法可以将HJ NDVI时间序列与参考序列之间的均方根误差降低52.5％。

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  • 来源
    《International journal of remote sensing》 |2014年第24期|7991-8007|共17页
  • 作者

    Wang Yecheng; Liu Yongxue; Li Manchun; Tan Lu;

  • 作者单位

    Nanjing Univ, Dept Geog Informat Sci, Nanjing 210023, Jiangsu, Peoples R China;

    Nanjing Univ, Dept Geog Informat Sci, Nanjing 210023, Jiangsu, Peoples R China|Nanjing Univ, Jiangsu Prov Key Lab Geog Informat Sci & Technol, Nanjing 210023, Jiangsu, Peoples R China;

    Nanjing Univ, Dept Geog Informat Sci, Nanjing 210023, Jiangsu, Peoples R China|Nanjing Univ, Jiangsu Prov Key Lab Geog Informat Sci & Technol, Nanjing 210023, Jiangsu, Peoples R China;

    Chinese Univ Hong Kong, Inst Space & Earth Informat Sci, Hong Kong, Hong Kong, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
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  • 正文语种 eng
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