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Remote Sensing for Land & Resources    2021, Vol. 33 Issue (1) : 249-255     DOI: 10.6046/gtzyyg.2020066
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Accuracy evaluation of the FY-3C/MWRI land surface temperature product in Hunan Province
FAN Jiazhi1,2(), LUO Yu1, TAN Shiqi3, MA Wen4, ZHANG Honghao5, LIU Fulai2()
1. China Meteorological Administration Training Centre Hunan Branch, Changsha 410125, China
2. Key Laboratory of Hunan Province for Meteorological Disaster Prevention and Mitigation, Changsha 410118, China
3. Hunan Meteorological Service Center, Changsha 410118, China
4. Yang Jiang Emergency Command Platform Techmology Center, Yangjiang 529500, China
5. Yangjiang Meteorological Bureau, Yangjiang 529500, China
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Abstract  

Land surface temperature (LST) retrieved from remote sensing plays an important role in climatology, hydrology, ecology and other fields, and microwave detection has the wide range and all-weather advantages. It is of great significance to verify the reliability of LST products from domestic satellite on a large scale. Based on the microwave LST product of Fengyun 3C combined with ground surface temperature observed from 97 meteorological stations in Hunan Province, the authors explored the accuracy of microwave inversion and its influencing factors. The results show that the mean absolute error, the root mean squared error, the coefficient of determination, the relative error between LST product and observed data is 6.54℃, 8.88℃, 0.57 and 0.29% respectively, the accuracy of ascending (nighttime) and the south is better than that of descending (daytime) and the north, and the worst consistency is around Dongting Lake. The LST product is of high precision in low temperature but with general underestimation, the accuracy is linearly correlated with the average temperature of each site, and in most cases it is comparable with MODIS products. The precision of LST product increases with the altitude, and varies with seasons, the time series fluctuation of ground temperature can be accurately captured at the sites with strong consistency. According to the analysis results, the inversion accuracy and applicability of LST product could be improved by modifying the retrieval algorithm in the future.
Keywords FengYun-3C      microwave radiation imager      remote sensing retrieval      land surface temperature      accuracy evaluation     
ZTFLH:  P407.7  
Corresponding Authors: LIU Fulai     E-mail: fjz92419@hotmail.com;Liufl10126@126.com
Issue Date: 18 March 2021
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Jiazhi FAN
Yu LUO
Shiqi TAN
Wen MA
Honghao ZHANG
Fulai LIU
Cite this article:   
Jiazhi FAN,Yu LUO,Shiqi TAN, et al. Accuracy evaluation of the FY-3C/MWRI land surface temperature product in Hunan Province[J]. Remote Sensing for Land & Resources, 2021, 33(1): 249-255.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.2020066     OR     https://www.gtzyyg.com/EN/Y2021/V33/I1/249
Fig.1  The geography, the footprints of FY-3C and ground observation station located in Hunan province
频率/
GHz		 极化形式 带宽/
GHz		 灵敏
度/K		 地面分辨率/
(km×km)		 像元大小/
(km×km)
10.65 垂直/水平 180 0.5 51×85 40×11.2
18.7 垂直/水平 200 0.5 30×50 40×11.2
23.8 垂直/水平 400 0.8 27×45 20×11.2
36.5 垂直/水平 900 0.5 18×30 20×11.2
89 垂直/水平 4600 1 9×15 10×11.2
Tab.1  Introduction to the microwave radiation imager channels
数据源 数据量 MAE/℃ RMSE/℃ R2 RE/%
整体数据 31 938 6.54 8.88 0.57 0.29
升轨数据 16 329 3.18 4 0.80 0.16
降轨数据 15 609 10.06 12.03 0.65 0.39
Tab.2  The error parameters in land surface temperature of FY-3C with observation
Fig.2  The scatter diagram of land surface temperature from observation station and remote sensing
Fig.3  The distribution of determination coefficient in land surface temperature from FY-3C and observation
海拔和季节 数据量 MAE/℃ RMSE/℃ R2 RE/%
400 m以上站点 1 770 5.46 6.78 0.66 0.27
400 m以下站点 30 168 6.61 8.99 0.57 0.29
春季 8 752 6.05 7.82 0.39 0.31
夏季 9 778 8.74 11.07 0.11 0.28
秋季 9 326 6.19 8.67 0.41 0.27
冬季 4 082 3.16 4.58 0.21 0.37
Tab.3  The influence of altitude and season on the precision of land surface temperature from remote sensing
Fig.4  The variation of error parameters with station altitude
Fig.5  The comparison of land surface temperature in remote sensing and observation in different sensons
站点 数据量 MAE/℃ RMSE/℃ R2 RE/%
益阳市南县站 271 12.3 15.46 0.12 0.45
郴州市汝城站 386 3.59 4.58 0.78 0.18
Tab.4  The error parameters in stations of best and worst consistency
Fig.6  The time series diagram of land surface temperature from remote sensing and observation in Nanxian and Rucheng station
Fig.7  The variation of error parameters with mean land surface temperature in station
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