摘要
选用分裂窗算法,采用两因素模型对吉林省西部MODIS数据进行了连续3年的地表温度反演。通过对MODIS数据波段选取,分别计算星上亮度温度,采用基于植被指数与地表分类相结合的方法得到地表比辐射率,根据MODIS数据计算得到大气水汽含量,利用大气辐射传输模型得到大气透过率,最后,通过分裂窗算法模型反演出地表温度。实验结果表明,该方法能够获得较合理的地表温度反演结果,对农业旱灾动态监测具有一定应用价值。
Adopting the split-window algorithm and the two-factor model, the author has retrieved the land surface temperature from the MODIS data of western Jilin province in three continuous years. For one thing, the paper calculated the on-board brightness values and the temperature values using selected MODIS data band separately. Sec- ondly, the author combined vegetation index with land surface classification to obtain the land surface ratio radiance. Subsequently, we can gain the content of atmosphere moisture by calculating MODIS data and the atmospheric permeation ratio by using the atmosphere radiation transmit model. Finally, the land surface temperature was retrieved from the split-window algorithm. The experimental results show that we can obtain reasonable retrieval conclusion of land surface temperature. To a certainty, it has applied value towards agricultural dynamic drought monitoring.
出处
《地理空间信息》
2010年第1期35-37,共3页
Geospatial Information
基金
国家自然科学基金资助项目(40471086)
吉林省科技厅资助项目(20060424)
关键词
地表温度
MODIS
反演
分裂窗算法
land surface temperature
MODIS
retrieval
the split-window algorithm