国土资源遥感Issue(4)：68-72,5.DOI:10.6046/gtzyyg.2015.04.11
基于FY-2 C数据的地表温度反演验证--以黄河源区玛曲为例
Validation of FY-2 C derived land surface temperature over the source region of the Yellow River：A case study of Maqu County
摘要
Abstract
Land surface temperature ( LST ) is an essential parameter in such fields of research as climate, hydrology and ecology, and it plays a significant role in the understanding of the water and energy balance of the Earth ’ s surface. Because the heterogeneity of the underlying surface is most likely a main source of the uncertainties of the satellite derived LST, this paper aims to evaluate the accuracy of the FY-2C derived LST over the heterogeneous area of Maqu County in the source region of the Yellow River and subsequently to provide solid basis for the future development of the LST inversion algorithm and product. MODIS LST product (MOD11B1) was primarily conducted to verify the FY-2C derived LST over the study area. In addition to the MODIS data, soil temperature measurements from 20 soil samples of the study area were also implemented to validate the FY-2 C derived LST. The results indicate that a significant correlation exists between the two datasets, with the coefficient of correlation, varying from 0. 72 to 0. 95, root mean square error(RMSE) ranging from 0. 44 to 3. 87 K, and the average RMSE being 1. 90 K. The FY -2C derived LST exhibits a consistent variation with the measured soil temperature, and the coefficient of correlation reaches 0. 69.关键词
地表温度/FY-2C/劈窗算法/MODISKey words
land surface temperature/FY-2 C/split-window algorithm/MODIS分类
信息技术与安全科学引用本文复制引用
王亚维,宋小宁,唐伯惠,李召良,冷佩..基于FY-2 C数据的地表温度反演验证--以黄河源区玛曲为例[J].国土资源遥感,2015,(4):68-72,5.基金项目
国家自然科学基金项目“基于静止气象卫星数据的区域尺度土壤水分反演方法研究”(编号:41271379)和中国科学院重点部署项目“黄河源区冻土变化的水文效应”(编号：KZZD-EW-13)共同资助。 （编号:41271379）
