用HJ-1B IRS数据反演海表温度的2种辐射传输方程改进算法

doi:10.3969/j.issn.1001-909X.2020.03.006

海洋学研究 ›› 2020, Vol. 38 ›› Issue (3): 58-64.DOI: 10.3969/j.issn.1001-909X.2020.03.006

用HJ-1B IRS数据反演海表温度的2种辐射传输方程改进算法

黄路^1,2, 张彩云^*1, 李炎³, 邵浩⁴, 杨星晨²

1.厦门大学海洋与地球学院,福建厦门 361102;
2.国家海洋技术中心漳州基地筹建办公室,福建厦门 361007;
3.福建省海陆界面生态环境重点实验室(厦门大学),福建厦门 361102;
4.91039部队,北京 102401

收稿日期:2020-05-01 发布日期:2020-09-15
通讯作者: *张彩云(1972-),女,副教授,主要从事海洋遥感应用研究。E-mail:cyzhang@xmu.edu.cn
作者简介:黄路(1989-),男,河南省信阳市人,主要从事海洋遥感观测研究。E-mail:huangyie321@163.com
基金资助:
国家重点研发计划(2016YFE0202100);国家自然科学基金重点项目(U1805241)

Two improved Radiative Transfer Equation Algorithm for retrieving sea surface temperature from HJ-1B IRS data

HUANG Lu^1,2, ZHANG Caiyun^*1, LI Yan³, SHAO Hao⁴, YANG Xingchen²

1. College of Ocean and Earth Sciences, Xiamen University, Xiamen 361102, China;
2. Preparatory Office of Zhangzhou Base, NOTC, Xiamen 361007, China;
3. Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Xiamen 361102, China;
4. Unit No.91039 of PLA, Beijing 102401, China

Received:2020-05-01 Published:2020-09-15

摘要/Abstract

摘要： 针对使用NCEP再分析数据和辐射传输方程法反演SST出现偏差较大的问题,以HJ-1B SST反演为例,从修正大气透过率入手,提出中心点算法和均值点算法2种辐射传输方程改进算法。2种改进算法对大气透过率偏差和HJ SST反演偏差均有明显改善,反演的HJ SST与MODIS SST均呈现显著的一致性。MODIS SST验证表明2种改进算法的平均偏差和均方差在0.5 ℃左右;浮标SST验证表明均值点算法的反演精度较高,其平均偏差为0.55 ℃,而中心点算法的为0.81 ℃。

关键词: NCEP, 辐射传输方程法, 大气透过率, HJ SST, MODIS SST

Abstract: In order to solve the problem that there is a large deviation in retrieving SST by using reanalysis data of NCEP and Radiative Transfer Equation Algorithm, taking HJ-1B SST retrieval as an example and starting from the correction of the atmospheric transmittance, two improved Radiative Transfer Equation Algorithm: algorithms of the Center Point Algorithm and the Mean Point Method are proposed, and they are verified by MODIS SST and buoy SST. The two improved algorithms have improved the atmospheric transmittance deviation and HJ SST retrieval deviation significantly, and both HJ SST and MODIS SST show significant consistency. The MODIS SST verification shows that the average deviation and mean square error of the two improved algorithms are about 0.5 ℃. The buoy SST verification shows that the Mean Point Algorithm has higher retrieval accuracy, which average deviation is 0.55 ℃, the average deviation of the Center Point Algorithm is 0.81 ℃.

Key words: NCEP, Radiative Transfer Equation Algorithm, atmospheric transmittance, HJ SST, MODIS SST

中图分类号:

P731.11

黄路, 张彩云, 李炎, 邵浩, 杨星晨. 用HJ-1B IRS数据反演海表温度的2种辐射传输方程改进算法[J]. 海洋学研究, 2020, 38(3): 58-64.

HUANG Lu, ZHANG Caiyun, LI Yan, SHAO Hao, YANG Xingchen. Two improved Radiative Transfer Equation Algorithm for retrieving sea surface temperature from HJ-1B IRS data[J]. Journal of Marine Sciences, 2020, 38(3): 58-64.

参考文献

[1] YANG Minglun, GUAN Lei, BEGGS H, et al. Comparison of Himawari-8 AHI SST with shipboard skin SST measurements in the Australian region[J]. Remote Sensing, 2020, 12(8): 1237.
[2] STAN C. The role of SST variability in the simulation of the MJO[J]. Climate Dynamics, 2017, 51(7): 2943-2964.
[3] CRISTINA G H, JORDI I F, TANDEO P, et al. Ocean Surface currents reconstruction: Spectral characterization of the transfer function between SST and SSH[J]. Journal of Geophysical Research: Oceans, 2020, 125(10): 1-16.
[4] CHEN Huanhuan, QI Yiquan, WANG Yuntao, et al. Seasonal variability of SST fronts and winds on the southeastern continental shelf of Brazil[J]. Ocean Dynamics, 2019, 69(11-12): 1387-1399.
[5] ZHOU Ying, GONG Cailan, KUANG Dingbo, et al. Distribution of thermal discharge from a power plant: Analysis of thermal infrared data from the environmental mitigation satellite[J]. Journal of Infrared & Millimeter Waves, 2012, 31(6): 544-549.
[6] LI Zhaoliang, BECKER F. Feasibility of land surface temperature and emissivity determination from AVHRR Data[J]. Remote Sensing of Environment, 1993, 43(1): 67-85.
[7] 毛克彪,覃志豪,施建成,等.针对MODIS影像的劈窗算法研究[J].武汉大学学报:信息科学版,2005,30(8):703-707.
MAO Kebiao, QIN Zhihao, SHI Jiancheng, et al. The research of split window algorithm on the MODIS[J]. Geomatics and Information Science of Wuhan University, 2005, 30(8): 703-707.
[8] QIN Zhihao, KARNIELI A, BERLINER P A. Mono-algorithm for retrieving land surface temperature from LandSAT TM data and its application to the Israel-Egypt border region[J]. International Journal of Remote Sensing, 2001, 22 (18): 583-594.
[9] JORDI C, JUAN J M, ANUPMA P, et al. An improved single-channel method to retrieve land surface temperature from the Landsat-8 thermal band[J]. Remote Sensing, 2018, 10(3): 431.
[10] 邢前国,陈楚群,施平.利用LandSAT数据反演近岸海水表层温度的大气校正算法[J].海洋学报,2007,29(3):23-30.
XING Qianguo, CHEN Chuqun, SHI Ping. Atmospheric correction of using Landsat data to retrieve sea surface temperature in coastal waters[J]. Acta Oceanologica Sinica, 2007, 29(3): 23-30.
[11] 周纪,李京,赵祥,等.HJ-1B卫星数据反演地表温度的修正单通道算法[J].红外与毫米波学报,2011,30(1):61-67.
ZHOU Ji, LI Jing, ZHAO Xiang. A modified single-channel algorithm for land surface temperature retrieval from HJ-1B satellite data[J]. Journal of Infrared Millimeter Waves, 2011, 30(1): 61-67.
[12] 黄路.基于Landsat 8/HJ-1B卫星的海表温度遥感反演及应用研究[D].厦门:厦门大学,2015.
HAUNG Lu. Research of algorithms retrieving sea surface temperature and their application based on Landsat 8/HJ-1B Satellites[D]. Xiamen: Xiamen University, 2015.
[13] LI Hua, LIU Qinhuo, DU Yongming, et al. Evaluation of the NCEP and MODIS atmospheric products for single channel land surface temperature retrieval with ground measurements: A case study of HJ-1B IRS data[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 6(3): 1399-1408.
[14] YU Xiaolei, GUO Xulin, WU Zhaocong. Land surface temperature retrieval from Landsat 8 TIRS-Comparison between radiative transfer equation-based method, split window algorithm and single channel method[J]. Remote Sensing, 2014, 6(10): 9829-9852.
[15] 张晓峰,徐京萍,张曼祺,等.Landsat-8热红外数据监测田湾核电站温排水分布[J].海洋科学进展,2019,37(3):518-525.
ZHANG Xiaofeng, XU Jingping, ZHANG Manqi, et al. Distribution of thermal discharge from Tianwan nuclear power plant: Analysis of thermal infrared data from Landsat-8[J]. Advances in Marine Science, 2019,37(3): 518-525.
[16] BARSI J A, SCHOTT J R, PALLUCONI F D, et al. Landsat TM and ETM+ thermal band calibration[J]. Canadian Journal of Remote Sensing, 2003, 29(2): 141-153.
[17] BARSI J A, SCHOTT J R, PALLUCONI F D, et al. Validation of a web-based atmospheric correction tool for single thermal Band instruments[J]. Proceedings of SPIE, 2005, 5882(1): 136-142.
[18] 周旋,杨晓峰,程亮,等.单通道物理法反演海表温度的参数敏感性分析及验证[J].红外与毫米波学报,2012,31(1):91-96.
ZHOU Xuan, YANG Xiaofeng, CHENG Liang, et al. Sensitivity analysis and validation of the single channel physical method for retrieving sea surface temperature[J]. Journal of Infrared Millimeter Waves, 2012, 31(1): 91-96.
[19] 段四波,阎广建,钱永刚,等.利用HJ-1B模拟数据反演地表温度的两种单通道算法[J].自然科学进展,2008,18(9):1001-1008.
DUAN Sibo, YAN Guangjian, QIAN Yonggang, et al. Two single-channel algorithms for retrieving land surface temperature from HJ-1B simulation data[J]. Advances in Natural Science, 2008, 18(9): 1001-1008.

用HJ-1B IRS数据反演海表温度的2种辐射传输方程改进算法

Two improved Radiative Transfer Equation Algorithm for retrieving sea surface temperature from HJ-1B IRS data

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