国土资源遥感2018，Vol.30Issue(1)：54-62,9.DOI:10.6046/gtzyyg.2018.01.08
基于FSDAF方法融合生成高时空分辨率地表温度
Generation of land surface temperature with high spatial and temporal resolution based on FSDAF method
摘要
Abstract
The application of the high spatio - temporal resolution data possesses very extensive foreground. Consequently,based on a flexible spatio -temporal data fusion(FSDAF)method and using MODIS and ASTER data,the authors generate the land surface temperature(LST) with high spatial and temporal resolution. FSDAF is a method based on spectral unmixing and thin plate spline interpolation function. Compared with the existing spatio-temporal data fusion method, its advantages lie in less input data,suitableness for heterogeneous surface and capability of predicting the gradient of land cover types and so on. The fusion results were verified by using the ASTER temperature products(7 days) and the surface radiation infrared temperature data(4 days)of the automatic weather station(AWS) sites. The results show that the LST images generated by the data fusion method based on FSDAF have higher clarity,the correlation coefficient of the fusion images and the ASTER LST products is higher than 0.91(September 28),the room mean square error (RMSE) is less than 2.44 k(September 19), the mean absolute error (MAE) is less than 1.84 k (September 19)and the correlation coefficient of the fusion images and the AWS LST data R2 is higher than 0.64(August 18).关键词
时空融合/数据融合/遥感/地表温度(LST)/自动气象站(AWS)Key words
spatial and temporal fusion/data fusion/remote sensing/land surface temperature(LST)/automatic weather station(AWS)分类
计算机与自动化引用本文复制引用
杨敏,杨贵军,陈晓宁,张勇峰,尤静妮..基于FSDAF方法融合生成高时空分辨率地表温度[J].国土资源遥感,2018,30(1):54-62,9.基金项目
国家自然科学基金项目"基于同化策略的地表温度多模式降尺度方法及其不确定性研究"(编号:41271345)资助. （编号:41271345）
