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引用本文:

DOI:

10.11834/jrs.2021131

收稿日期:

2021-03-10

修改日期:

2021-10-14

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基于GF1-WFV数据的16 m分辨率反照率产品算法与验证
陆彦蓉1, 李霞1, 杨凯祥1, 刘强1, 闻建光2, 李秀红1
1.北京师范大学;2.中国科学院空天信息创新研究院
摘要:

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。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。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,表明融合后的16 m分辨率反照率与实测值一致性较好,比初级反照率更接近实测值。

An algorithm for estimation of surface albedo in 16 m resolution from Chinese GF1-WFV image
Abstract:

abstract: 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 Rate surface albedo products. Objective:The algorithm proposed in this paper is based on the sensor data of GF1 - WFV and the GLASS albedo product with 500m resolution to generate high-spatial resolution albedo products. 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 fusion albedo product with 16m resolution. Result: The algorithm results are verified with ground observations at eight stations in the Heihe Experimental Area from 2016 to 2017, and it is shown that the fused 16m resolution albedo is in good agreement with the measured value, and is closer to the measured value than the primary albedo. In order to visually illustrate the effect of the 16m resolution albedo product, the 500m resolution GLASS albedo product in the photovoltaic industrial park was also selected for comparison with the produced 16m albedo product in the same area. The comparison showed that the 16m resolution albedo product is more suitable for research on the impact of human activities on the environment. conclusion: The algorithm quantitatively fuses the 16m resolution texture information of the GF1 data with the mean value information of the 500m resolution GLASS albedo product to obtain the 16m albedo. It includes two main steps: a simple direct inversion algorithm and a downscaling fusion 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, which can better support the study of the impact of human activities on the environment at the regional scale.

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