摘要
重点研究不同时间空间尺度对MODIS地表温度(MODIS LST)与地面气温相关关系的影响,以寻找最优时间空间尺度来提高MODIS估算地面气温的精度。选用宁夏自治区2000~2010年MODIS地表温度产品MOD11A1和MYD11A1以及宁夏10个气象站点常规气温数据,研究了不同时间和1×1、3×3、5×5、7×7、9×9窗12对MODIS LST与站点气温线性相关关系的影响。研究表明:增大空间尺度可显著增加窗口有效数据量,但MODIS地表温度与地面气温的相关性反而降低;M()DIS地表温度与气象站点实测平均气温、最高气温相关性受时间影响不大,而当日MODIS LST与气象站次日最低气温相关性明显高于当日。
A method to obtain air temperature by the remote sensing technology was discussed in this paper. Linear dependence relations between MODIS land surface temperature and minimum temperature, maximum temperature and mean temperature were explored in Ningxia Autonomous Region. In order to improve the accuracy of air temperature estimated from MODIS land surface temperature,the influence of time and space to correlation coefficients were discussed. Ten meteorological stations in Ningxia Autonomous Region were used. Remote sensing data including MOD11A1 and MYD11A1 and common meteorological temperature data during 2000-2010 were used for the linear correlation analysis. Correlation coefficients in 1 × 1,3 × 3,5 × 5,7 ×7,9 × 9 windows centered the station locations were compared. Studies have shown that linear dependence relations between MODIS land surface temperature and minimum temperature, maximum temperature and mean temperature were good enough to estimate air temperature. Correlation coefficient between maximum temperature and surface temperature was generally greater than minimum temperature. Correlations between minimum temperature and night surface temperature were better than maximum temperature. Moreover, correlation coefficient between Aqua night surface temperature and minimum temperature was greater than Terra due to the difference of the observing time. Linear dependence relations became worse no matter whether the entire windows were filled with the valid data, though effective data increased with the enlargement of extract windows.
出处
《遥感技术与应用》
CSCD
北大核心
2013年第5期831-835,共5页
Remote Sensing Technology and Application
基金
公益性行业(气象)科研专项"中国北方果树霜冻灾害防御关键技术研究"(GYHY201206049)
关键词
MODIS
地表温度
空气温度
尺度分析
MODIS
Land surface temperature
Air temperature
Scale analysis