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陆彦蓉，李霞，杨凯祥，刘强，闻建光，李秀红.XXXX.基于GF1-WFV数据的16 m分辨率反照率产品算法与验证.遥感学报，XX（XX）： 1-11
Lu Yanrong，Li Xia，Yang Kaixiang，Liu Qiang，Wen Jianguang，Li Xiuhong. XXXX. An algorithm for estimation of surface albedo in 16 m resolution from Chinese GF1-WFV image. National Remote Sensing Bulletin， XX（XX）：1-11
地表反照率在陆面气候和生物圈模型中起着至关重要的作用。为了更好地满足多领域研究的要求，拓宽定量遥感参数的应用，许多研究学者及团队正在利用不同的算法开发高分辨率地表反照率产品。本文提出的算法基于我国高分一号卫星WFV传感器数据和500 m分辨率的GLASS反照率产品生成高空间分辨率的反照率产品。算法思路首先用直接反演算法反演GF1-WFV数据得到16 m分辨率初级反照率产品，再将500 m分辨率的GLASS反照率产品与16 m分辨率初级产品的纹理信息进行降尺度融合，最终得到16 m分辨率的融合反照率产品。以2016~2017年黑河实验区的八个站点的地面观测值对算法结果进行验证，实测数据与反演融合数据的时间序列图表明融合后的16 m分辨率反照率与实测值一致性较好；同时，通过2016~2017年所有站点散点图分析，融合反照率均方根误差为0.02439，初级反照率则为0.05135，融合反照率比初级反照率更接近实测值。16 m分辨率反照率产品在平均值与500 m分辨率的GLASS反照率产品一致的前提下丰富了空间纹理信息，能够更好的支持在区域尺度研究人类活动对环境的影响。
Surface albedo plays a vital role in land surface climate and biosphere models. In order to better meet the requirements of multi-field research and broaden the application of quantitative remote sensing parameters, many researchers and teams are using different algorithms to develop high- resolution surface albedo products.Objective The algorithm proposed in this paper aims to generate high-spatial resolution albedo products based on the sensor data of GF1 - WFV and the GLASS albedo product with 500m resolution.Method The idea of the algorithm is to first invert the GF1-WFV data with a direct inversion algorithm to obtain the 16m resolution primary albedo product, and then downscale the 500m resolution GLASS albedo product with the texture information of the 16m resolution primary product to obtain the final 16-m albedo product.Result 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 16 m resolution albedo is in good agreement 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. In order to visually illustrate the effect of the 16-m resolution albedo product, the 500-m resolution GLASS albedo product in the photovoltaic industrial park was compared with the co-located 16-m albedo product. It is shown that the 16m resolution albedo product could better support the studies about human activities and the environment.conclusion The algorithm quantitatively fuses the 16-m resolution texture information in the GF1 data with the mean value information of the 500m resolution GLASS albedo product to obtain the 16m albedo. It contains two main steps: a simple direct inversion algorithm and a downscale-to-fuse algorithm. The 16m resolution albedo product enriches the spatial texture information on the premise that the average value is consistent with the 500m resolution GLASS albedo product.
反照率算法降尺度融合高分辨率验证
AlbedoAlgorithmDownscaling fusionHigh resolutionVerification
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