CAJ | 학술논문

基于Logistic模型，利用2011—2013年辽宁省实测的叶面积指数和作物发育期数据，构建回归模型对MODIS LAI产品进行订正及效果检验。以抽雄期为分界线，分2个时段构建Logistic模型，对春玉米的全生育期进行模拟，利用模拟结果建立MODIS LAI产品的多种订正模型，其中二次多项式模型相关性最好，决定系数达到0.975。利用2013年实测数据对订正模型进行检验，在抽穗期和乳熟期将MODIS LAI产品监测误差从45%降低到10%左右，为提高MODIS LAI产品在中国北方地区旱田的适用性和反演精度提供数据基础。
기우Logistic모형，이용2011—2013년요녕성실측적협면적지수화작물발육기수거，구건회귀모형대MODIS LAI산품진행정정급효과검험。이추웅기위분계선，분2개시단구건Logistic모형，대춘옥미적전생육기진행모의，이용모의결과건립MODIS LAI산품적다충정정모형，기중이차다항식모형상관성최호，결정계수체도0.975。이용2013년실측수거대정정모형진행검험，재추수기화유숙기장MODIS LAI산품감측오차종45%강저도10%좌우，위제고MODIS LAI산품재중국북방지구한전적괄용성화반연정도제공수거기출。
Leaf area index is a key indicator of leaf area change of crop population, and also an important parameter for studying crop photosynthesis, transpiration and biomass formation, etc. Based on the Logisitic model, in combination with the field experiment data of leaf area index and developmental stages data of spring maize in Liaoning Province in 2011-2013, the regression model was constructed for the revised MODIS LAI products. The growth of maize was divided into 2 stages by the anthesis stage, the paper built the Logisitic model to simulate the whole growth period of spring maize, and construct the various correction models of the MODIS LAI product. The Logisitic LAI had highly significant correlation with the MODIS LAI product, especially for quadratic polynomial model, whose determination coefficient reached to 0.975. Using the field experiment data in 2013, the correction model was tested, the error of MODIS LAI product was reduced from 45%to 10%.