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Retrieval of surface albedo based on GF-4 geostationary satellite image data

  • role： First author第一作者
  • Affiliation：

    Institute of Remote Sensing and Geographical Information System, School of Earth and Space Science, Peking University, Beijing 100871, China

    Qingdao Public Transportation Service Center, Qingdao 266061, China

  • Email：1601210224@pku.edu.cn
  • Introduction：孙越君(1991—　)，女，硕士研究生，研究方向为地表二向性反射以及地表反照率的应用研究。E-mail：1601210224@pku.edu.cn
Yuejun SUN12,  
  • Affiliation：

    Institute of Remote Sensing and Geographical Information System, School of Earth and Space Science, Peking University, Beijing 100871, China

Zihao WANG1,  
  • role： Corresponding author通信作者
  • Affiliation：

    Institute of Remote Sensing and Geographical Information System, School of Earth and Space Science, Peking University, Beijing 100871, China

    Beijing Key Lab of Spatial Information Integration and 3S Application, Peking University, Beijing 100871, China

    National Surveying and Mapping Geographic Information Engineering Technology Center of Geographic Information Basic Software and Application, Beijing 100871, China

  • Email：qmqin@pku.edu.cn
  • Introduction：秦其明(1955—　)，男，教授，研究方向为定量遥感与地理信息系统。E-mail：qmqin@pku.edu.cn
Qiming QIN134*,  
  • Affiliation：

    Institute of Remote Sensing and Geographical Information System, School of Earth and Space Science, Peking University, Beijing 100871, China

Guhuai HAN1,  
  • Affiliation：

    Institute of Remote Sensing and Geographical Information System, School of Earth and Space Science, Peking University, Beijing 100871, China

Huazhong REN1,  
  • Affiliation：

    Institute of Agricultural Remote Sensing and Information Technology Application, College of Environmental and Resource Sciences, Zhejiang University,Hangzhou 310029, China

Jingfeng HUANG5

résumé

Land surface albedo is an important surface parameter applied in surface energy balance. GF-4, which is the first geostationary orbit satellite that combines high spatial and temporal resolution in China, has great potential in obtaining regional albedo in the country. The present geostationary orbit satellites are relatively low in spatial resolution, and the observation ranges of most cannot cover all land areas because their orbitals are deviated from China. Multi-frequency observation cannot be easily realized in the country. Therefore, to address the problemsof short time and low spatial resolution of albedo products in China and obtain the albedo images of geostationary orbit satellite data, an albedo inversion method based on kernel-driven bidirectional reflectance distribution (BRDF), taking GF-4 stationary satellite data as data source, is constructed. Earth surface classification is integrated to provide an initial value to kernel factorsto explore the feasibility of semi-empirical kernel-driven BRDF model applied on GF-4 satellite data. Compared with the least squares fitting method, the Powell iterative optimization algorithm has better convergence effect and is thus used to optimize the result of the model. Then, the land surface narrowband albedos of each band can be gained through angle integration using the BRDF model. Therefore, narrowbandalbedo is converted into broadband for the GF-4 satellite data for the first time by using the Santa Barbara DISORT model and combining the spectral library with the spectral response function of the GF-4 satellite. Albedo inversion in visible (0.4—0.7 μm) and shortwave bands (0.3—3 μm) are acquired. Finally, a cross-validation experiment using Landsat8 reflectivity and MODIS albedo productsis conducted. The albedo comparison results retrieved by Landsat8 and GF-4 data shows that the accuracy of albedo in the visible band retrieved by GF-4 data is 85.6%, and that in the shortwave band retrieved by GF-4 is 93.4%. The albedo comparison results retrieved by MODIS and GF-4 data shows that the accuracy of albedo in the visible band retrieved by GF-4 data is 87.7%, and that in shortwave band retrieved by GF-4 data is 85.9%. The experiment indicates that albedo retrieved by GF-4 data has high accuracy, and GF-4 satellite albedo products have considerable potential applications. The algebraic inversion method that uses GF-4 satellite data successfully obtains high-resolution albedo imagesfrom a geosynchronous orbit satellite. If this method is further verified, then it can be used for the mass production of albedo products and address the problemsof short time and low spatial resolution. However, relevant verification work should be conducted due to the current lack of ground test data.

mots-clés

GF-4 satellite;high frequency observation;land surface Albedo;BRDF;geostationary orbit

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