CAJ | 학술논문

选取QIN和SOB两种代表性劈窗算法对辽宁地区地表温度进行反演，并分析二者的精度和误差分布。结果表明：QIN和SOB算法反演的地表温度（Ts ）与地面气象台站准同步观测的气温和地温的线性拟合显著，SOB算法线性拟合更好；从误差分布直方图可知，两种算法的反演结果与地温更接近，SOB算法与同步气温和地温在±2.0℃之间的误差比例略高于QIN算法；在野外开展与卫星遥感空间尺度一致的地表温度观测试验，QIN和SOB 算法与实测值的平均绝对误差均为1.5℃；与NASA官网发布的地表温度产品对比发现，QIN和SOB算法的平均绝对误差分别为1.75℃和1.70℃；因此，QIN和SOB算法在辽宁地区均适用，而SOB算法误差较小。
선취QIN화SOB량충대표성벽창산법대료녕지구지표온도진행반연，병분석이자적정도화오차분포。결과표명：QIN화SOB산법반연적지표온도（Ts ）여지면기상태참준동보관측적기온화지온적선성의합현저，SOB산법선성의합경호；종오차분포직방도가지，량충산법적반연결과여지온경접근，SOB산법여동보기온화지온재±2.0℃지간적오차비례략고우QIN산법；재야외개전여위성요감공간척도일치적지표온도관측시험，QIN화SOB 산법여실측치적평균절대오차균위1.5℃；여NASA관망발포적지표온도산품대비발현，QIN화SOB산법적평균절대오차분별위1.75℃화1.70℃；인차，QIN화SOB산법재료녕지구균괄용，이SOB산법오차교소。
Using QIN and SOB representative algorithms for retrieving land surface temperature (LST)based on the MODIS in Liaoning province,both precision and error were analyzed.The results show that LST retrieved by QIN and SOB algorithms has a good linear fitting with the observed air temperature and surface temperature,espe-cially for a SOB algorithm.According to the error histograms,retrieved LST by two methods is close to the ob-served surface temperature.Errors of the air and surface temperature between ±2 ℃calculated by two methods are compared,and error ratio of the SOB algorithm is slightly higher than that of the QIN algorithm.Field experiment, being a same resolution with remote sensing data,suggests that mean absolute errors between two the retrieved and observed temperature both are 1.5 ℃.Compared with the LST from NASA website,mean absolute error of the QIN and SOB algorithms are 1.75 ℃and 1.70 ℃,respectively.Thus,the two algorithms both are suitable in Lia-oning province,and the SOB algorithm has less error.