CAJ | 학술논문

大气透过率是热红外。感中的一个重要参数。针对前文构建的大气透过率模式，以我国环境灾害卫星HJ-1B红外相机IRS第4通道的大气透过率模式为例，利用辐射传输模型MODTRAN模拟水体辐亮度，对模式中的变量引入不同的误差，将模拟的辐亮度反演水温，分析不同气溶胶模型、水汽量、能见度和观测天顶角对反演水温的敏感性。并将该大气透过率模式用于HJ-1B/IRS热红外图像中，反演了2009年4月17日、21日、22日和25日太湖水温。研究结果表明：同一波段、不同气溶胶模型的大气透过率模式在反演温度时会产生不同的误差，以气溶胶模型为平流雾的最大、对流型的最小；大气透过率模式中3个变量的误差与温度反演的误差呈线性关系，即变量的误差越大，温度反演的误差也越大；以水汽量对温度反演最敏感，观测天顶角其次，能见度最弱。该大气透过率模式用于4天。感图像反演中，除4月17日反演的误差稍高，均方根误差和平均相对误差分别为1.127℃和5.75%，其他3天的均方根误差都小于1℃、平均相对误差在5%以下，说明所建的大气透过率模式在热红外。感中具有较高的应用精度。
대기투과솔시열홍외。감중적일개중요삼수。침대전문구건적대기투과솔모식，이아국배경재해위성HJ-1B홍외상궤IRS제4통도적대기투과솔모식위례，이용복사전수모형MODTRAN모의수체복량도，대모식중적변량인입불동적오차，장모의적복량도반연수온，분석불동기용효모형、수기량、능견도화관측천정각대반연수온적민감성。병장해대기투과솔모식용우HJ-1B/IRS열홍외도상중，반연료2009년4월17일、21일、22일화25일태호수온。연구결과표명：동일파단、불동기용효모형적대기투과솔모식재반연온도시회산생불동적오차，이기용효모형위평류무적최대、대류형적최소；대기투과솔모식중3개변량적오차여온도반연적오차정선성관계，즉변량적오차월대，온도반연적오차야월대；이수기량대온도반연최민감，관측천정각기차，능견도최약。해대기투과솔모식용우4천。감도상반연중，제4월17일반연적오차초고，균방근오차화평균상대오차분별위1.127℃화5.75%，기타3천적균방근오차도소우1℃、평균상대오차재5%이하，설명소건적대기투과솔모식재열홍외。감중구유교고적응용정도。
Atmospheric transmittance is an important parameter in the thermal infrared remote sensing. For the atmospheric transmittance models in the previous paper, taking the transmittance model of the infrared camera(IRS) onboard chinese environment and disaster monitoring satellite(HJ-1B)as an example, the radiance at top atmosphere over waters was simulated, a series of error were brought to the variables in the atmospheric transmittance model, and the temperature from the simulated radiance was retrieved. Given that, the sensitivity of aerosol model, water vapor, visibility and view zenith affecting on retrieved temperature was analyzed. The atmospheric transmittance model was applied to 4 HJ/IRS thermal infrared images and the water surface temperature on April 17, 21, 22 and 25, 2009 was retrieved in lake Taihu, China. The results show that the atmospheric transmittance model within different aerosol models for any channel produce various errors during the temperature retrieving from the remote sensed radiance , that the error is the largest for the advective fog model and is the lowest for the tropospheric model, that the retrieved error of temperature displays the linear trend with the error of variables in the atmospheric transmittance models, the water vapor is the most susceptible for the temperature retrieving, the second for the view zenith and the third for visibility. When the atmospheric transmittance model is applied to HJ/IRS thermal infrared images for retrieving the water surface temperature, the error on April 17 is a little high which the root mean square error (RMSE)and the mean relative error(MRE)are 1.127℃and 5.75%respectively, while the RMSE on other 3 days is below 1℃and their MRE is less than 5%. This illustrates that the atmospheric transmittance model have the perfect application accuracy in the thermal infrared remote sensing.