高分辨率地表反照率遥感估算研究进展

赵聪聪; 闻建光; 游冬琴; 唐勇; 陈曦; 刘强

doi:10.11834/jrs.20231732

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高分辨率地表反照率遥感估算研究进展
Remote sensing retrieval of high-spatial-resolution land surface albedo
2023年27卷第3期页码：724-737
纸质出版日期： 2023-03-07 ，
DOI： 10.11834/jrs.20231732

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赵聪聪，闻建光，游冬琴，唐勇，陈曦，刘强.2023.高分辨率地表反照率遥感估算研究进展.遥感学报，27（3）： 724-737

Zhao C C，Wen J G，You D Q，Tang Y，Chen X and Liu Q. 2023. Remote sensing retrieval of high-spatial-resolution land surface albedo. National Remote Sensing Bulletin， 27（3）：724-737
赵聪聪，闻建光，游冬琴，唐勇，陈曦，刘强.2023.高分辨率地表反照率遥感估算研究进展.遥感学报，27（3）： 724-737 DOI： 10.11834/jrs.20231732.

Zhao C C，Wen J G，You D Q，Tang Y，Chen X and Liu Q. 2023. Remote sensing retrieval of high-spatial-resolution land surface albedo. National Remote Sensing Bulletin， 27（3）：724-737 DOI： 10.11834/jrs.20231732.

摘要

地表反照率是研究地表能量收支平衡、中长期天气预报和全球气候变化的一个重要参数。利用卫星数据估算地表反照率需要地表二向反射特征知识的支持，目前针对中低分辨率卫星数据的反照率反演算法相对成熟，且发布了不同分辨率和精度的全球产品。随着全球高分辨率对地观测技术的不断发展，特别是中国高分系列卫星的发展，为高分辨率地表反照率精确估算提供了丰富的数据源。然而高分辨率地表反照率遥感估算面临着观测角度数据不足、波段信息少等有效数据缺失的问题，国内外学者开展了一系列针对高分辨率地表反照率估算方法的研究。本文首先简述了地表反照率遥感估算的基本原理与目前存在的主要问题，总结并分析了近几年高分辨率反照率估算的相关算法，并对未来高分辨率反照率估算的进一步发展提出了展望和设想。论文研究可为高分辨率反照率算法研究和产品发展提供理论支持。

Abstract

Land surface albedo is an important variable for controlling Earth radiation budget. It is also recognized as an Essential Climate Variable by the Global Climate Observing System. The progress of the high-spatial-resolution satellite development allows high-spatial-resolution albedo to provide important data for the research of local radiation and energy balance

regional climate

and ecological environment. However

albedo is a variable related to solar angle

wavelength

and atmospheric status. Thus

the estimation of high-spatial-resolution land surface albedo becomes challenging. Different methods of land surface albedo remote sensing estimation have been developed in the last two decades. These methods greatly improve the high-resolution albedo mapping ability. Summarizing and analyzing the proposed methods of high-spatial-resolution albedo are important to improve the accuracy of its product estimation further.

Two fundamental problems of insufficient multiangle observation and multisensor band information for high-resolution albedo estimation are proposed by analyzing the basic principle of the existing albedo estimation. Four main methods of high-spatial-resolution albedo are summarized in the characteristics of the algorithm and application cases according to how the problem of insufficient understanding of land surface reflectance anisotropy is overcome. Lastly

the conclusion and prospect of the high-spatial-resolution albedo method development are also summarized.

According to whether the land surface anisotropic reflection characteristics are considered

the current high-resolution albedo retrieval methods are divided into two basic types: the method of narrowband to broadband conversions and the method of Bidirectional Reflectance Distribution Functionconsideration. The latter type considers the surface anisotropic reflection characteristics in different ways. It also includes estimation based on high-resolution multiangle reflectance data

estimation based on combining high-resolution reflectance data with low-resolution reflectance data

and estimation based on empirical knowledge of BRDF/albedo.

These proposed methods of obtaining high-spatial-resolution land surface albedo with the surface bidirectional reflection characteristic information directly or indirectly are still the mainstream idea. They alleviate the problem of missing high-resolution valid data to a certain extent. However

they are still limited because of the lack of effective data

such as the angle and band of the high-resolution remote sensing data and the lack of high-resolution BRDF a priori knowledge information. The development of a high-resolution albedo algorithm is a prospect for future research. It can potentially provide theoretical support for high-resolution land surface albedo product development.

关键词

地表反照率地表二向反射遥感反演窄宽波段转换高分辨率卫星

Keywords

land surface albedoBidirectional Reflectance Distribution Function (BRDF)remote sensing retrievalnarrowband to broadbandhigh spatial resolution satellite

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