农学学报Issue(10)：97-102,6.
基于Logistic模型的春玉米MODIS LAI产品订正
The Correction of MODIS LAI Product of Spring Maize Based on the Logisitic Model
摘要
Abstract
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%.关键词
叶面积指数/Logistic模型/春玉米/MODIS LAI产品Key words
Leaf Area Index/Logisitic Model/Spring Maize/MODIS LAI Product分类
信息技术与安全科学引用本文复制引用
冯锐,张玉书,纪瑞鹏,武晋雯,于文颖..基于Logistic模型的春玉米MODIS LAI产品订正[J].农学学报,2015,(10):97-102,6.基金项目
辽宁省农业攻关及成果产业化项目“农业气象灾害精细化预报及风险评估研究”(2014210003)；中央级公益性科研院所基本科研业务专项“辽宁省玉米/水稻气候适宜度诊断预报定量化技术研发”(2014IAE-CMA01)；科技部公益性行业科研专项“遥感技术在作物生长模式及农业气象预报中的应用研究”(GYHY201106027)。 （2014210003）
