CAJ | 학술논문

湖泊水面温度与藻类生长密切相关，通过获取水体表层温度信息来监测湖泊水面温度时空动态变化，对于蓝藻水华预警监控具有重要意义。湖泊水面温度遥感定量反演的理论方法与反演地表、海洋表面温度基本相同。本文在介绍遥感反演地表温度原理的基础上，总结了国内外基于热红外波段反演水体表面温度的单窗算法、劈窗算法、多通道算法等几种常用方法，重点分析了各算法的优缺点和反演的主要难点，并对今后在内陆水体藻华预测顸警等方面的应用趋势进行了展望。
호박수면온도여조류생장밀절상관，통과획취수체표층온도신식래감측호박수면온도시공동태변화，대우람조수화예경감공구유중요의의。호박수면온도요감정량반연적이론방법여반연지표、해양표면온도기본상동。본문재개소요감반연지표온도원리적기출상，총결료국내외기우열홍외파단반연수체표면온도적단창산법、벽창산법、다통도산법등궤충상용방법，중점분석료각산법적우결점화반연적주요난점，병대금후재내륙수체조화예측한경등방면적응용추세진행료전망。
Lake surface temperature （LST） affects the growth of algae very much. To obtain the information of the spatial and temporal dynamic changes of the lake surface temperature is helpful to forecast and monitor eyanobaeterial bloom. The theory and method of reconstruction of lake surface temperature using remote sensing data is similar as that for surfaces of earth and oceans. In this paper, based on the mechanism of reconstruction of earth surface temperature, several methods adopted home and abroad such as single window algorithm, split-window and multiple-band algorithms were reviewed, of which the advantages and disadvantages and the reconstruction difficulties were analyzed. The future applications trend of broadcast and early warning of inland water algal blooms were prespeetod.