INFRARED SEA SURFACE TEMPERATURE DATA RECONSTRUCTION USING DINEOF METHOD

被引：3

作者：

Li, Jiang ^{[1
]}

Sun, Weifu ^{[2
]}

Zhang, Jie ^{[1
,2
]}

机构：

[1] China Univ Petr, Coll Oceanog & Space Informat, Qingdao 266580, Peoples R China

[2] Minist Nat Resources, Inst Oceanog 1, Qingdao 266061, Peoples R China

来源：

2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022) | 2022年

关键词：

DINEOF; SST; reconstruction; Argo data; satellite data;

D O I：

10.1109/IGARSS46834.2022.9883843

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

Due to the influence of clouds and other factors on radiometers operating in the optical and infrared bands, satellite data of sea surface temperature (SST) usually has large areas missing. This will have a severe impact on its application. In this study, Data Interpolation Empirical Orthogonal Function (DINEOF) method was applied to reconstruct the missing values of SST in a region in Southeast Asia. The DINEOF was used to the 2019 Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua L3 SST data, and its accuracy was assessed by comparing Argo data, satellite data, and reconstructed data. And Argo data was used to correct the reconstructed data. The corrected Std and RMSE were 0.3992 and 0.3951, respectively.

引用

页码：7107 / 7110

页数：4

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