实用劈窗算法的改进及大气水汽含量对精度影响评价

¹呼伦贝尔草原生态系统国家野外科学观测研究站,农业部资源遥感与数字农业重点开放实验室/中国农业科学院农业资源与农业区划研究所,北京市海淀区中关村南大街12号100081;²中国科学院东亚区域气候-环境重点实验室,北京市朝阳区德胜门外祁家豁子,100029;³中国科学院研究生院,北京市石景山区玉泉路甲19号,100049

基金项目: 国家863计划资助项目(2006AA10Z241,2007AA10Z230,2006AA12Z103)；中央级公益性科研院所基本科研业务费专项资金资助项目；中国科学院东亚区域气候-环境重点实验室开放研究基金资助项目

详细信息

Improvement for Split-Window Algorithm and Influence Analysis of Water Vapor Content for Retrieval Accuracy

¹Hulunber Grassland Ecosystem Observation and Research Station/ Key Laboratory of Resources Remote Sensing and Digital Agriculture,MOA / Institute of Agricultural Resources and Regional Planning,Chinese Academy of Agricultural Sciences,12 South Street,Zhongguancun,Haidian District,Beijing 100081,China;²Key Laboratory of Regional Climate-Environment Research for Temperate East Asia(RCE-TEA;Chinese Academy of Sciences,Qijiahuozi,Chaoyang District,Beijing 100029,China;³ School of Graduate,Chinese Academy of Sciences,A19 Yuquan Road,Shijingshan District,Beijing 100049,China

Funds: 国家863计划资助项目(2006AA10Z241,2007AA10Z230,2006AA12Z103)；中央级公益性科研院所基本科研业务费专项资金资助项目；中国科学院东亚区域气候-环境重点实验室开放研究基金资助项目

摘要: 对劈窗算法进行了改进,提高了算法的精度和实用性。对影响大气透过率的大气水汽含量进行了敏感性分析。模拟数据结果表明,劈窗算法对大气水汽含量不敏感,当大气水汽含量误差在-80%~80%变化时,反演的平均精度仍能在1℃以下。对实际MODIS影像进行反演的结果与大气模拟数据分析的结论基本一致,这说明适当地利用大气水汽含量的先验知识可以提高劈窗算法反演地表温度的精度。
- 地表温度 /
- 透过率 /
- MODIS /
- 劈窗算法
Abstract: The split-window algorithm proposed by the authors is improved.In order to evaluate the practical effect of the algorithm,the analysis of influence of water content on the transmittance is made and the results indicate that the algorithm is not sensitivity to water content.In order to confirm the conclusion,the authors retrieve the land surface temperature through change the water content retrieved from MODIS data and get similar conclusion.All the results show that the algorithm is practical and not sensitive to water content.
- land surface temperature /
- transmittance /
- MODIS /
- split-window algorithm