A method for estimating the land surface albedo of OCO-2 oxygen A-band based on MODIS/MCD43C3

YANG Jie; LI Siwei; WANG Qingxin

doi:10.11834/jrs.20231333

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A method for estimating the land surface albedo of OCO-2 oxygen A-band based on MODIS/MCD43C3
Vol. 27, Issue 4, Pages: 1009-1020(2023)
Published： 07 April 2023 ，
DOI： 10.11834/jrs.20231333

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杨洁，李四维，王庆鑫.2023.利用MODIS多通道反照率产品估算OCO-2氧气A吸收带陆表反照率方法.遥感学报，27（4）： 1009-1020

Yang J，Li S W and Wang Q X. 2023. A method for estimating the land surface albedo of OCO-2 oxygen A-band based on MODIS/MCD43C3. National Remote Sensing Bulletin， 27（4）：1009-1020
杨洁，李四维，王庆鑫.2023.利用MODIS多通道反照率产品估算OCO-2氧气A吸收带陆表反照率方法.遥感学报，27（4）： 1009-1020 DOI： 10.11834/jrs.20231333.

Yang J，Li S W and Wang Q X. 2023. A method for estimating the land surface albedo of OCO-2 oxygen A-band based on MODIS/MCD43C3. National Remote Sensing Bulletin， 27（4）：1009-1020 DOI： 10.11834/jrs.20231333.

摘要

在基于OCO-2卫星氧气A吸收带观测的云反演中，陆表反射是重要的干扰因素，其强度主要由陆表反照率决定。然而，目前尚无卫星产品能提供OCO-2云反演所需的氧气A吸收带陆表反照率，为此本文提出基于MODIS多通道黑空/白空反照率的OCO-2氧气A吸收带陆表反照率估算方法。该方法顾及地表覆盖类型对波段间转换陆表反照率的影响，在不同时间和不同空间上测试的相关系数均超过0.93，均方根误差为0.026。其中，MODIS反照率数据的质量是决定多通道模型转换精度的最重要因素。当输入最佳质量的MODIS反照率时，OCO-2氧气A吸收带陆表反照率估值的均方根误差略优于0.02，随着MODIS反照率数据质量的下降，估值的均方根误差逐渐增大至超过0.05。

Abstract

Land surface reflection depends on land surface albedo and interferes with the retrieval of cloud geometrical thickness from OCO-2 oxygen A-band observations due to its second-strongest reflection after the cloud. However

no product can provide the land surface albedo of the OCO-2 oxygen A-band required for the retrieval. Therefore

the accurate estimation of land surface albedo is necessary and beneficial to the retrieval quality.

In this study

we proposed a method for estimating land surface albedo in the oxygen A-band from multichannel black/white albedos from MODIS/MCD43C3 products. Although the estimation (MODIS→OCO-2) is related to land cover type

the comparison based on Shannon entropy proved that the multichannel albedo data contains the type information and is sufficient to achieve the same accuracy as land cover-type estimation. In addition

we implement the estimation model by BP neural network

and the accuracy is consistent with that of the analysis based on the Shannon entropy.

We verified the multichannel-based estimation model by tests in different times and spaces. Its correlation coefficients were all over 0.93

and the root-mean-squared errors were 0.026. In addition

the multichannel-based model was always superior to the single-channel linear model on all land cover types

whether applied to the best-performing type of barren or sparsely vegetated land or the worse-performing type of snow and ice. The quality of MODIS albedo data is the most important for the accuracy of estimation. The root-mean-squared error with the best inputs was slightly better than 0.02 and increased to more than 0.05 as the quality of the inputs decreased.

The method of estimating the land surface albedo in the OCO-2 oxygen A-band from MODIS multichannel black/white albedo data is feasible and can resist the disturbance caused by unknown land cover type. The estimation accuracy depends on the quality of the input MODIS albedo data.

关键词

遥感陆表反照率地表覆盖类型OCO-2氧气A吸收带云反演

Keywords

remote sensingland surface albedoland cover typeOCO-2oxygen A-bandcloud retrieval

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