鲍艳松,李紫甜,王冬梅,闵锦忠,严婧.基于FY3热红外数据的地表温度反演方法研究[J].农业机械学报,2014,45(6):266-274.
Bao Yansong,Li Zitian,Wang Dongmei,Min Jinzhong,Yan Jing.Retrieval of Land Surface Temperature from FY3 Infrared Imageries[J].Transactions of the Chinese Society for Agricultural Machinery,2014,45(6):266-274.
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基于FY3热红外数据的地表温度反演方法研究   [下载全文]
Retrieval of Land Surface Temperature from FY3 Infrared Imageries   [Download Pdf][in English]
投稿时间:2013-07-11  
DOI:10.6041/j.issn.1000-1298.2014.06.041
中文关键词:  风云三号卫星  地表温度  遥感反演
基金项目:国家重点基础研究发展计划(973计划)资助项目(2013CB430101)、中国博士后科学基金资助项目( 20090461131、201003596)和江苏高校优势学科建设工程资助项目(PAPD)
作者单位
鲍艳松 南京信息工程大学 
李紫甜 南京信息工程大学 
王冬梅 江苏省水利科学研究院 
闵锦忠 南京信息工程大学 
严婧 南京信息工程大学 
中文摘要:使用中分辨率大气辐射传输模式MODTRAN模拟风云三号卫星(FY3)热红外通道数据,基于模拟数据,利用分裂窗温度反演方法,建立地表温度反演模型。利用平均比辐射率方法确定像元比辐射率,并将该反演模型用于江苏省3个时次(2012年1月23日、2月3日和2月11日)的地表温度反演。将反演结果与MODIS的温度产品进行了对比分析,分析反演模型的系统偏差,并对反演模型进行修订。验证试验结果表明:修订后模型反演的地表温度与MODIS温度产品的平均相关系数为0.877,均方根误差为1.33 K;相比于同时期的FY3温度产品,所建模型反演的地表温度与MODIS温度产品更为接近。
Bao Yansong  Li Zitian  Wang Dongmei  Min Jinzhong  Yan Jing
Nanjing University of Information Science and Technology;Nanjing University of Information Science and Technology;Jiangsu Research Institute of Hydraulic Science;Nanjing University of Information Science and Technology;Nanjing University of Information Science and Technology
Key Words:Feng-Yun 3 satellite  Land surface temperature  Estimation by remote sense technology
Abstract:This paper focuses on the estimation of land surface temperature (LST) based on the measurements from the visible and infrared radiometer (VIRR) and the medium resolution spectral imager (MERSI) on board the second-generation polar-orbiting meteorological satellite of China (FY3). The moderate spectral resolution atmospheric transmittance algorithm and computer model (MODTRAN) were used to simulate FY3 VIRR and MERSI infrared data. The split-window algorithm was employed to build LST estimation models based on the simulated data. The LST estimation experiments were conducted in Jiangsu Province. Nine images with fewer clouds cover were acquired on January 23 and February 3 and 11, 2012. They consisted of three VIRR band 4 images, three VIRR band 5 images and three MERSI band 5 images, which were used to retrieve LST of the experimental region. LST estimation from the images acquired at the first two days was evaluated by MODIS LST products. The results showed that the combination of the VIRR 4th and 5th bands obtained higher LST estimation accuracy, compared with the combination of the VIRR 4th and MERSI 5th band. In addition, it was found that the estimated LST from VIRR 4 and 5 band images had a systematic bias (-1.664) compared with MODIS LST. The systematic bias was used to revise the LST estimation model. The revised model was validated by the images acquired at February 11. The results showed that the correlation coefficient between the estimated LST and MODIS LST was 0.877, and the RMSE was 1.33K. Compared with FY3 LST products, the estimated LST from the model was comparable to MODIS LST product.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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