CAJ | 학술논문

利用遥感影像获取地表温度信息，对于检测地表状况和生态环境变化有重要意义。在对地观测卫星MODIS的16个热红外波段中，其中有6个波段是针对地表温度来设计的，其中第31（10.78~11.28um）和32（11.77~12.27um）与TM的第6波段区间基本相同。运用单窗算法分别对这2个波段建立方程，然后通过对Planck方程的辐射率和温度计算模拟，发现温度和辐射率近似线性相关，本文通过对MODIS遥感影像进行数据读取、辐射定标、反演温度、区域裁剪预处理，得到了研究区地表温度的空间分布变化，最后运用单窗算法对31通道的影像反演了研究区的温度分布。
이용요감영상획취지표온도신식，대우검측지표상황화생태배경변화유중요의의。재대지관측위성MODIS적16개열홍외파단중，기중유6개파단시침대지표온도래설계적，기중제31（10.78~11.28um）화32（11.77~12.27um）여TM적제6파단구간기본상동。운용단창산법분별대저2개파단건립방정，연후통과대Planck방정적복사솔화온도계산모의，발현온도화복사솔근사선성상관，본문통과대MODIS요감영상진행수거독취、복사정표、반연온도、구역재전예처리，득도료연구구지표온도적공간분포변화，최후운용단창산법대31통도적영상반연료연구구적온도분포。
Land surface temperature information can be retrieved from Remote Sensing image, which is important and significant to observe macroscopically the earth's surface status and ecological and environmental change. In the 16 thermal infrared band of MODIS-Earth Observation satellites, of which there are six bands designed for surface temperature, and the interval of 31st (10.78~11.28um) and 32nd (11.77~12.27um) are basically the same with sixth band of TM. Single-window algorithm are used respectively to establish equations for these two bands, and then through the computational simulation of emissivity and temperature of Planck equation, it is concluded that the temperature and emissivity are approximately linear related. Through reading data, radiance calibration, temperature inversion, regional crop pretreatment of the MODIS remote sensing image, the distribution of surface temperature changes has been concluded. Finally window algorithm is used for the image of single 31-channel, and inverse temperature distribution in the study area.