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首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >Long-Term Global Land Surface Satellite (GLASS) Fractional Vegetation Cover Product Derived From MODIS and AVHRR Data
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Long-Term Global Land Surface Satellite (GLASS) Fractional Vegetation Cover Product Derived From MODIS and AVHRR Data

机译：长期全球陆地面卫星（玻璃）源自MODIS和AVHRR数据的分数植被覆盖产品

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摘要

Long-term global land surface fractional vegetation cover (FVC) data are essential for global climate modeling, earth surface process simulations, and related applications. However, high quality and long time series global FVC products remain scarce, although several FVC products have been generated using remote sensing data. This study aims to use the previously proposed Global LAnd Surface Satellite (GLASS) FVC product from Moderate Resolution Imaging Spectroradiometer (MODIS) data (denoted as GLASS-MODIS FVC) to generate a long term GLASS FVC product from advanced very high resolution radiometer (AVHRR) data (denoted as GLASS-AVHRR FVC) back to year 1981. The GLASS-AVHRR FVC algorithm adopted the multivariate adaptive regression splines method, which was trained using samples extracted from the GLASS-MODIS FVC product and the corresponding red and near-infrared band reflectances of the preprocessed AVHRR reflectance data from 2003 over the global sampling locations. The GLASS-AVHRR FVC product has a temporal resolution of eight days and a spatial resolution of 0.05 degrees. Through comparison of the GLASS-AVHRR and GLASS-MODIS FVC products from 2013, good temporal and spatial consistencies were observed, which confirmed the reliability of the GLASS-AVHRR FVC product. Furthermore, direct validation using field FVC measurement based reference data indicated that the performance of the GLASS-AVHRR FVC product (R-2 = 0.834, RMSE = 0.145) was slightly superior to that of the popular long term GEOV1 FVC product (R-2 = 0.799, RMSE = 0.174).
机译：长期全球陆地表面分数植被覆盖（FVC）数据对于全球气候建模，地球表面处理模拟和相关应用是必不可少的。然而，高质量和长时间系列全球FVC产品仍然稀缺，尽管使用遥感数据产生了几种FVC产品。本研究旨在使用中提出的全球陆地表面卫星（玻璃）FVC产品，从中等分辨率成像分光镜（MODIS）数据（表示为玻璃MODIS FVC），从高级高分辨率辐射计（AVHRR）产生长期玻璃FVC产品（AVHRR ）数据（表示为Glass-AVHRR FVC）返回到1981年。玻璃AVHRR FVC算法采用多变量自适应回归均衡方法，使用从玻璃MODIS FVC产品中提取的样品和相应的红色和近红外线进行培训。在全球采样位置的2003年预处理的AVHRR反射数据的频段反射。玻璃AVHRR FVC产品的时间分辨率为8天，空间分辨率为0.05度。通过2013年玻璃-AVRR和玻璃模型FVC产品的比较，观察到良好的时间和空间常量，这证实了玻璃-AVHRR FVC产品的可靠性。此外，使用基于场FVC测量的参考数据的直接验证表明，玻璃AVHRR FVC产品的性能（R-2 = 0.834，RMSE = 0.145）略微优于流行的长期GEOV1 FVC产品（R-2 = 0.799，RMSE = 0.174）。

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    Jia Kun; Yang Linqing; Liang Shunlin; Xiao Zhiqiang; Zhao Xiang; Yao Yunjun; Zhang Xiaotong; Jiang Bo; Liu Duanyang;

  • 作者单位

    Beijing Normal Univ StateKey Lab Remote Sensing Sci Fac Geog Sci Beijing 100875 Peoples R China|Beijing Normal Univ Fac Geog Sci Beijing Engn Res Ctr Global Land Remote Sensing P Beijing 100875 Peoples R China;

    Beijing Normal Univ StateKey Lab Remote Sensing Sci Fac Geog Sci Beijing 100875 Peoples R China|Beijing Normal Univ Fac Geog Sci Beijing Engn Res Ctr Global Land Remote Sensing P Beijing 100875 Peoples R China;

    Univ Maryland Dept Geog Sci College Pk MD 20742 USA|Wuhan Univ Sch Remote Sensing Informat Engn Wuhan Hubei Peoples R China;

    Beijing Normal Univ StateKey Lab Remote Sensing Sci Fac Geog Sci Beijing 100875 Peoples R China|Beijing Normal Univ Fac Geog Sci Beijing Engn Res Ctr Global Land Remote Sensing P Beijing 100875 Peoples R China;

    Beijing Normal Univ StateKey Lab Remote Sensing Sci Fac Geog Sci Beijing 100875 Peoples R China|Beijing Normal Univ Fac Geog Sci Beijing Engn Res Ctr Global Land Remote Sensing P Beijing 100875 Peoples R China;

    Beijing Normal Univ StateKey Lab Remote Sensing Sci Fac Geog Sci Beijing 100875 Peoples R China|Beijing Normal Univ Fac Geog Sci Beijing Engn Res Ctr Global Land Remote Sensing P Beijing 100875 Peoples R China;

    Beijing Normal Univ StateKey Lab Remote Sensing Sci Fac Geog Sci Beijing 100875 Peoples R China|Beijing Normal Univ Fac Geog Sci Beijing Engn Res Ctr Global Land Remote Sensing P Beijing 100875 Peoples R China;

    Beijing Normal Univ StateKey Lab Remote Sensing Sci Fac Geog Sci Beijing 100875 Peoples R China|Beijing Normal Univ Fac Geog Sci Beijing Engn Res Ctr Global Land Remote Sensing P Beijing 100875 Peoples R China;

    Beijing Normal Univ StateKey Lab Remote Sensing Sci Fac Geog Sci Beijing 100875 Peoples R China|Beijing Normal Univ Fac Geog Sci Beijing Engn Res Ctr Global Land Remote Sensing P Beijing 100875 Peoples R China;

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  • 正文语种 eng
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  • 关键词

    Advanced very high resolution radiometer (AVHRR); climate change; fractional vegetation cover (FVC); global land surface; long time series data;

    机译：先进的非常高分辨率辐射计（AVHRR）;气候变化;分数植被覆盖（FVC）;全球陆地面;长时间序列数据;

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