Error Analysis of the Land Surface Temperature Retrieval Using HJ-1B Thermal Infrared Remote Sensing Data
Error Analysis of the Land Surface Temperature Retrieval Using HJ-1B Thermal Infrared Remote Sensing Data
复制标题
HJ-1B热红外遥感数据反演地表温度误差分析
DOI：
10.3964/j.issn.1000-0593(2010)12-3359-04
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发表时间：
2010-12-01
影响因子：
0.7
通讯作者：
Wan Wei
中科院分区：
文献类型：
--
作者：
Zhao Li-min;Yu Tao;Wan Wei
误差分析在遥感数据和模型的应用中发挥着重要作用。介绍了利用辐射传递模型(RT)反演地表温度(LST)误差敏感性的理论分析，并应用于环境一号乙卫星(IRS4)新的热红外遥感数据。提到了使用 MODTRAN 4 对 IRS4 数据的 RT 模型进行的修改。通过分析参数的导数来展示模型的误差敏感性。结果表明，水汽含量越大、发射率和温度越小，地表温度反演误差越大。主要误差来源是等效噪声、水汽含量的不确定性和发射率，导致典型条件下LST的误差分别为0. 7、0. 6和0. 5 K。因此，发现 LST 的总误差为 1 K。经证实，当应用要求超过1K时，从HJ-1B数据反演的地表温度是令人难以置信的，除非采用更准确的大气参数和发射率原位测量。
Error analysis is playing an important role in the application of the remote sensing data and model. A theoretical analysis of error sensitivities in land surface temperature (LST) retrieval using radiance transfer model (RT) is introduced, which was applied to a new thermal infrared remote sensing data of HJ-1B satellite(IRS4). The modification of the RT model with MODTRAN 4 for IRS4 data is mentioned. Error sensitivities of the model are exhibited by analyzing the derivatives of parameters. It is shown that the greater the water vapor content and smaller the emissivity and temperature, the greater the LST retrieval error. The main error origin is from equivalent noise, uncertainty of water vapor content and emissivity, which lead to an error of 0. 7, 0. 6 and 0. 5 K on LST in typical condition, respectively. Hence, a total error of 1 K for LST has been found. It is confirmed that the LST retrieved from HJ-1B data is incredible when application requirement is more than 1K, unless more accurate in situ measurements for atmospheric parameters and emissivity are applied.