基于GF-1WFV数据的16 m分辨率反照率产品算法与验证

陆彦蓉; 李霞; 杨凯祥; 刘强; 闻建光; 李秀红

doi:10.11834/jrs.20211131

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基于GF-1WFV数据的16 m分辨率反照率产品算法与验证
An algorithm for estimation of surface albedo in 16 m resolution from Chinese GF-1WFV image
2023年27卷第11期页码：2541-2551
纸质出版日期： 2023-11-07 ，
DOI： 10.11834/jrs.20211131

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陆彦蓉，李霞，杨凯祥，刘强，闻建光，李秀红.2023.基于GF-1WFV数据的16 m分辨率反照率产品算法与验证.遥感学报，27（11）： 2541-2551

Lu Y R，Li X，Yang K X，Liu Q，Wen J G and Li X H. 2023. An algorithm for estimation of surface albedo in 16 m resolution from Chinese GF-1WFV image. National Remote Sensing Bulletin， 27（11）：2541-2551
陆彦蓉，李霞，杨凯祥，刘强，闻建光，李秀红.2023.基于GF-1WFV数据的16 m分辨率反照率产品算法与验证.遥感学报，27（11）： 2541-2551 DOI： 10.11834/jrs.20211131.

Lu Y R，Li X，Yang K X，Liu Q，Wen J G and Li X H. 2023. An algorithm for estimation of surface albedo in 16 m resolution from Chinese GF-1WFV image. National Remote Sensing Bulletin， 27（11）：2541-2551 DOI： 10.11834/jrs.20211131.

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中国高分一号卫星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GF-1 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年—2017年黑河实验区的8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年—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，能够更好地支持在区域尺度研究人类活动对环境的影响。

Abstract

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.

关键词

遥感反照率算法降尺度融合高分辨率验证高分一号卫星（GF-1）黑河

Keywords

remote sensingalbedoalgorithmdownscaling fusionhigh resolutionverificationGF-1Hei He

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