High-precision sea-land surface temperature inversion over the Yellow River Delta with Sentinel-3

doi:10.13474/j.cnki.11-2246.2023.0020

Bulletin of Surveying and Mapping ›› 2023, Vol. 0 ›› Issue (1): 120-126.doi: 10.13474/j.cnki.11-2246.2023.0020

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High-precision sea-land surface temperature inversion over the Yellow River Delta with Sentinel-3

ZHANG Yun^1,2, LI Peng^1,2,3, LI Zhenhong⁴, WANG Houjie^1,2

1. Key Lab of Submarine Geosciences and Prospecting Technology, Institute of Estuarine and Coastal Zone, College of Marine Geosciences, Ocean University of China, Qingdao 266100, China;
2. Laboratory of Marine Geology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266061, China;
3. State Key Laboratory of Geodesy and Earth's Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, China;
4. College of Geological Engineering and Geomatics, Chang'an University, Xi'an 710054, China

Received:2022-02-23 Revised:2022-11-20 Published:2023-02-08

Abstract

Abstract: Land surface temperature (LST) and sea surface temperature (SST) are key parameters for understanding global change and human activities. However, the existing surface temperature products are usually discontinuous at the sea and land boundary. In this study, we use Sentinel-3 sea and land surface temperature radiometer (SLSTR) to measure continuous surface temperature product of land and sea over the Yellow River Delta (YRD) with split-window algorithms, while land surface emissivity can be estimated using NDVI threshold method. Compared with ground-truth observations and the fifth generation ECMWF reanalysis (ERA5) data, this method can obtain land and sea surface temperature inversion with high accuracy, whose RMSE is lower than 1.1 K. The results show that the accuracy of land and sea surface temperature inversion is higher than existing publicly available global products and can provide reference for global spatio-temporal continuous temperature inversion.

Key words: Sentinel-3, sea surface temperature, land surface temperature, land surface emissivity, Yellow River Delta

CLC Number:

P208

ZHANG Yun, LI Peng, LI Zhenhong, WANG Houjie. High-precision sea-land surface temperature inversion over the Yellow River Delta with Sentinel-3[J]. Bulletin of Surveying and Mapping, 2023, 0(1): 120-126.

References

[1] 李召良,段四波,唐伯惠,等. 热红外地表温度遥感反演方法研究进展[J]. 遥感学报,2016,20(5):899-920.
[2] 谭琨,廖志宏,杜培军. 顾及地面传感器观测数据的遥感影像地面温度反演算法[J]. 武汉大学学报(信息科学版),2016,41(2):148-155.
[3] 王斐,覃志豪,宋彩英. 利用Landsat TM影像进行地表温度像元分解[J]. 武汉大学学报(信息科学版),2017,42(1):116-122.
[4] 朱金顺,任华忠,叶昕,等. 热红外遥感地表温度与发射率地面验证进展[J]. 遥感学报,2021,25(8):1538-1566.
[5] PRICE J C. Land surface temperature measurements from the split window channels of the NOAA 7 advanced very high resolution radiometer[J].Journal of Geophysical Research Atmospheres,1984,89(D5):7231.
[6] ZHANG Shuting,DUAN Sibo,LI Zhaoliang,et al. Improvement of split-window algorithm for land surface temperature retrieval from Sentinel-3A SLSTR data over barren surfaces using ASTER GED product[J]. Remote Sensing,2019,11(24):3025.
[7] WANG Han,et al. A method for land surface temperature retrieval based on model-data-knowledge-driven and deep learning[J]. Remote Sensing of Environment,2021,265:112665.
[8] YANG Jiajia,et al. Investigation and validation of algorithms for estimating land surface temperature from Sentinel-3 SLSTR data[J]. International Journal of Applied Earth Observation and Geoinformation,2020,91:102136.
[9] SOBRINO J A,RAISSOUNI N. Toward remote sensing methods for land cover dynamic monitoring:application to Morocco[J]. International Journal of Remote Sensing,2000,21(2):353-366.
[10] 王平,毛克彪,孟飞,等. 中国东海海表温度时空演化分析[J]. 国土资源遥感,2020,32(4):227-235.
[11] STEFFEN W,RICHARDSON K,ROCKSTRÖM J,et al. The emergence and evolution of Earth System Science[J]. Nature Reviews Earth & Environment,2020,1(1):54-63.
[12] WEI Meng,SHU Qi,SONG Zhenya,et al. Could CMIP6 climate models reproduce the early-2000s global warming slowdown?[J]. Science China Earth Sciences,2021,64(6):853-865.
[13] ZHU Quantao,LI Peng,LI Zhenhong,et al.Spatiotemporal changes of coastline over the Yellow River Delta in the previous 40 years with optical and SAR remote sensing[J]. Remote Sensing,2021,13(10):1940.
[14] 李鹏,黎达辉,李振洪,等. 黄河三角洲地区GF-3雷达数据与Sentinel-2多光谱数据湿地协同分类研究[J]. 武汉大学学报(信息科学版),2019,44(11):1641-1649.
[15] HULLEY G C,HOOK S J,ABBOTT E,et al. The ASTER Global Emissivity Dataset (ASTER GED):mapping Earth's emissivity at 100 meter spatial scale[J]. Geophysical Research Letters,2015,42(19):7966-7976.
[16] 杨景梅,邱金桓. 用地面湿度参量计算我国整层大气可降水量及有效水汽含量方法的研究[J]. 大气科学,2002,26(1):9-22.
[17] 孟翔晨,历华,杜永明,等. 基于ASTER GED产品的地表发射率估算[J]. 遥感学报,2016,20(3):382-396.
[18] 张松,于非,刁新源,等. 渤、黄、东海海表面温度年际变化特征分析[J]. 海洋科学,2009,33(8):76-81.
[19] WANG Qingyuan,LI Yan,LI Qingquan,et al. Changes in means and extreme events of sea surface temperature in the East China Seas based on satellite data from 1982 to 2017[J]. Atmosphere,2019,10(3):140.
[20] BAO B. Climatological characteristics and long-term change of SST over the marginal seas of China[J]. Continental Shelf Research,2014,77:96-106.
[21] YAO Ling,LU Jiaying,XIA Xiaolin,et al. Evaluation of the ERA5 sea surface temperature around the Pacific and the Atlantic[J]. IEEE Access,9:12067-12073.
[22] WANG Guoyang,LI Peng,LI Zhenhong,et al. Coastal Dam inundation assessment for the Yellow River Delta:measurements,analysis and scenario[J]. Remote Sensing,2020,12(21):3658.
[23] HULLEY G C,et al. Validation of the North American ASTER Land Surface Emissivity Database (NAALSED) version 2.0 using pseudo-invariant sand dune sites[J]. Remote Sensing of Environment,2009,113(10):2224-2233.

High-precision sea-land surface temperature inversion over the Yellow River Delta with Sentinel-3

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