摘要
为快速、宏观、全面地获取陆面生态重要参数陆面温度(LST),避免分裂窗算法中诸多参数的估计和参数的适用范围限制,加快计算速度,更好地利用中国气象局"三站四网"的建设成果,利用宁夏2005—2007年13个时次过境晴空地表MODIS资料及对应过境时17个自动气象站观测数据,筛选、优化引入对LST影响较大的水汽通道、NDVI和EVI参数,建立基于MODIS遥感和地面自动气象站观测数据反演陆面温度(LST)的统计模式。研究结果表明:引入相关参数后,宁夏各季及全年模式的相关性和精度有较大提高,且水汽通道和EVI的参数组合最优。与分裂窗算法相比,省去了对大气透过率的估算以及对地表比辐射率估计的繁琐计算,与地面自动站观测真实值误差70.1%能够控制在4.0℃以内,计算速度快,能够满足一般业务的需求,易于推广使用。
In order to obtain the important land surface ecological parameter—land surface temperature （LST） quickly, macroscopically, and to avoid the more parameters estimation and the limitation of the parameters applicability range of the split-window algorithm, a statistical model to retrieve LST was built up by using 13 clear air earth surface MODIS data and 24 auto-weather station data in 2005-2007. The new model can enhance the calculation speed and make more efficient use of the ＂three-stations and four nets＂ products built by China Meteorological Administration. The results indicate that after introducing the related parameters, the model relevance and accuracy were improved obviously, the combination of the water vapor channel of MODIS with the enhanced vegetation index （EVI） can obtain an optimal effect. Compared with the split-window algorithm, the statistical model is simple and feasible. It does not need to estimate the atmospheric transmissivity and the land surface emissivity. Compared with the AWS data, the actual error in 70% retrieved LST is within 4.0℃.
出处
《气象》
CSCD
北大核心
2009年第5期61-65,共5页
Meteorological Monthly
基金
科技部社会公益研究专项(2005DIB3J103)
中国气象局新技术推广项目(CMATG2005M45)其同资助
关键词
MODIS
陆面温度
EVI
反演
MODIS land surface temperature （LST） enhanced vegetation index （EVI） retrieve
