光谱学与光谱分析
光譜學與光譜分析
광보학여광보분석
SPECTROSCOPY AND SPECTRAL ANALYSIS
2014年
2期
364-369
,共6页
云覆盖%地表温度%热红外%遥感反演
雲覆蓋%地錶溫度%熱紅外%遙感反縯
운복개%지표온도%열홍외%요감반연
Cloud cover%Land surface temperature (LST )%TIR%Remote sensing retrieval
地表温度是描述陆表过程和反映地表特征的重要参数。及时掌握区域和全球尺度上的地表温度时空分布是许多地表过程研究和热红外遥感应用的必需。热红外遥感是地表温度快捷获取的最佳手段,但仅局限于天空晴朗无云情形。云覆盖致使热红外遥感不能直接获取云覆盖像元地表温度,其反演结果为云顶温度或附加了云辐射强迫效应后的地表温度。如何精准获取热红外遥感图像中云覆盖像元地表温度信息,成为热红外遥感地表温度反演和应用亟待完善的难题。文章系统详细回顾了国内外热红外遥感图像中云覆盖像元地表温度估算方法,评述了各方法的特性,并指出今后应加强加深热红外遥感与被动微波遥感融合技术、数据同化技术、尺度效应和算法参数化中普适性假定等四方面研究。
地錶溫度是描述陸錶過程和反映地錶特徵的重要參數。及時掌握區域和全毬呎度上的地錶溫度時空分佈是許多地錶過程研究和熱紅外遙感應用的必需。熱紅外遙感是地錶溫度快捷穫取的最佳手段,但僅跼限于天空晴朗無雲情形。雲覆蓋緻使熱紅外遙感不能直接穫取雲覆蓋像元地錶溫度,其反縯結果為雲頂溫度或附加瞭雲輻射彊迫效應後的地錶溫度。如何精準穫取熱紅外遙感圖像中雲覆蓋像元地錶溫度信息,成為熱紅外遙感地錶溫度反縯和應用亟待完善的難題。文章繫統詳細迴顧瞭國內外熱紅外遙感圖像中雲覆蓋像元地錶溫度估算方法,評述瞭各方法的特性,併指齣今後應加彊加深熱紅外遙感與被動微波遙感融閤技術、數據同化技術、呎度效應和算法參數化中普適性假定等四方麵研究。
지표온도시묘술륙표과정화반영지표특정적중요삼수。급시장악구역화전구척도상적지표온도시공분포시허다지표과정연구화열홍외요감응용적필수。열홍외요감시지표온도쾌첩획취적최가수단,단부국한우천공청랑무운정형。운복개치사열홍외요감불능직접획취운복개상원지표온도,기반연결과위운정온도혹부가료운복사강박효응후적지표온도。여하정준획취열홍외요감도상중운복개상원지표온도신식,성위열홍외요감지표온도반연화응용극대완선적난제。문장계통상세회고료국내외열홍외요감도상중운복개상원지표온도고산방법,평술료각방법적특성,병지출금후응가강가심열홍외요감여피동미파요감융합기술、수거동화기술、척도효응화산법삼수화중보괄성가정등사방면연구。
Land surface temperature (LST) ,which reflects surface properties ,is one of the key parameters in the physics of land surface processes from local through global scales .LST is very required in time and space for a wide variety of scientific studies and thermal infrared (TIR) remote sensing applications .Satellite TIR channels are very available for LST retrieval but only in clear skies .However ,when the surface is obscured by clouds ,the actual retrieved LST for the corresponding pixel is ,or is con-taminated by ,the cloud top temperature .Lacking understanding of the complex relationships between clouds and LST ,the esti-mation of LST for cloud-covered pixels poses a big problem and challenge for thermal remote sensing scientists .In the present paper ,a review of algorithms and approaches related to LST retrieval for cloud-covered pixels from TIR data is presented ,and the characteristics of each method are also discussed .Directions for future research to improve the accuracy of satellite-derived LST for cloud-covered pixels are then suggested .