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An algorithm for estimation of surface albedo in 16 m resolution from Chinese GF-1WFV image

  • role： First author第一作者
  • Affiliation：

    Collage of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China

  • Email：202131490009@mail.bnu.edu.cn
  • Introduction：陆彦蓉，研究方向为地表反照率产品验证。E-mail：202131490009@mail.bnu.edu.cn
LU Yanrong1,  
  • Affiliation：

    Collage of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China

LI Xia1,  
  • Affiliation：

    Collage of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China

YANG Kaixiang1,  
  • role： Corresponding author通信作者
  • Affiliation：

    Collage of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China

    State Key Laboratory of Remote Sensing Science, , Beijing Normal University, Beijing 100875, China

  • Email：toliuqiang@bnu.edu.cn
  • Introduction：刘强，研究方向为多角度遥感模型和反演。E-mail： toliuqiang@bnu.edu.cn
LIU Qiang12*,  
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, , Beijing Normal University, Beijing 100875, China

    Aerospace Information Research Institute, Chinese Academy of Science, Beijing 100094,China

WEN Jianguang23,  
  • Affiliation：

    Collage of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China

    State Key Laboratory of Remote Sensing Science, , Beijing Normal University, Beijing 100875, China

LI Xiuhong12

реферат

Surface albedo plays a vital role in land surface climate and biosphere models. Many researchers and teams use different algorithms to develop high- resolution surface albedo products for better satisfying the requirements of multi-field research and broaden the application of quantitative remote sensing parameters.The proposed algorithm aims to generate albedo products of high spatial resolution based on the sensor data of GF-1 WFV and the GLASS albedo product with 500 m resolution. The idea of the algorithm is to first invert the GF-1 WFV data with a direct inversion algorithm for obtaining the primary albedo product of 16 m resolution. Then, it downscales the GLASS albedo product of 500 m resolution with the texture information of the primary product of 16 m resolution to obtain the final albedo product of 16 m resolution.The algorithm results are verified with ground observations at eight stations in the Heihe Experimental Area using the data from 2016 to 2017. The time series graphs of the measured data and the inverted fusion data show that the fused albedo product of 16 m resolution agrees well with the measured value. At the same time, through the analysis of the scatter plots of all stations from 2016 to 2017, the root mean square error of the fusion albedo is 0.02439, and the primary albedo is 0.05135. The fusion albedo is closer to the measured value than the primary albedo. The GLASS albedo product of 500 m resolution in the photovoltaic industrial park was compared with the co-located albedo product of 16 m resolution to visually illustrate the effect of the albedo product of 16 m resolution. The albedo product of 16 m resolution could better support the studies on human activities and the environment. The algorithm quantitatively fuses the texture information of 16 m resolution in the GF-1 data with the mean value information of the GLASS albedo product of 500 m resolution to obtain the albedo product of 16 m resolution. It contains two main steps: a simple direct inversion algorithm and a downscale-to-fuse algorithm. The albedo product of 16 m resolution enriches the spatial texture information on the premise that the average value is consistent with that of the GLASS albedo product of 500 m resolution.

ключеви́че слова́

remote sensing;albedo;algorithm;Downscaling fusion;high resolution;Verification;GF-1;Hei He

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