基于无人机多光谱的夏玉米穗位叶叶绿素含量反演研究  

Retrieval of Chlorophyll Content in Ear Leaves of Summer Maize Based on UAV Multispectral Data

作　　者：杨广云 牛鲁燕[2,3] YANG Guang-yun;NIU Lu-yan(Agricultural and Rural Bureau of Shenxian County,Shenxian 252400,China;Institute of Agricultural Information and Economics,Shandong Academy of Agricultural Sciences,Jinan 250100,China;Shandong Provincial Agricultural and Rural Remote Sensing Application Center,Jinan 250100,China)

机构地区：[1]山东省莘县农业农村局,山东莘县252400 [2]山东省农业科学院农业信息与经济研究所,山东济南250100 [3]山东省农业农村遥感应用中心,山东济南250100

出　　处：《江西农业学报》2022年第5期8-12,共5页Acta Agriculturae Jiangxi

基　　金：山东省自然科学基金项目(ZR2021MD055);山东省农业科学院创新工程项目“农业气象”(CXGC2021A26);国家重点研发课题(2021YFB3901303)。

摘　　要：以2021年8月初夏玉米抽雄期无人机飞行数据和地面实测夏玉米穗位叶叶绿素含量(SPAD值)数据为基础,构建了基于多光谱数据的归一化植被指数(NDVI)、冠层叶绿素含量指数(CCCI)、无蓝色波段增强型植被指数(EVI2)、比值植被指数(RVI)、土壤调整植被指数(SAVI)、绿色归一化植被指数(GNDVI)、土壤调节植被指数(OSAVI)、红边优化土壤调节植被指数(REOSAVI)、绿色比值植被指数(GRVI)、红边归一化植被指数(RENDVI),建立了各植被指数与SPAD值间的一元线性回归模型。结果表明:在对夏玉米抽雄期穗位叶SPAD值的模拟中,上述10种植被指数的反演能力有区别,反演能力最好的是由CCCI构建的模型;反演能力最差的是由REOSAVI构建的模型;基于EVI2和RVI构建的模型对于夏玉米叶片SPAD值均具备一定的反演能力。Based on the UAV flight data and the ground measured SPAD data of ear leaves of summer maize in early August 2021,10 tasseling stage vegetation indexes based on multispectral data were constructed including normalized difference vegetation index(NDVI),canopy chlorophyll content index(CCCI),enhanced vegetation index without blue band(EVI2),ratio vegetation index(RVI),soil adjusted vegetation index(SAVI),green normalized vegetation index(GNDVI),soil adjusted vegetation index(OSAVI),red edge optimized soil adjusted vegetation index(REOSAVI),green ratio vegetation index(GRVI)and red edge normalized difference vegetation index(RENDVI).The unitary linear regression model between vegetation index and SPAD value was established.The results showed that in the SPAD value simulation of ear leaves at tasseling stage of summer maize,the inversion ability of 10 different vegetation indexes were different.The univariate linear regression model based on CCCI had the best inversion ability,and the univariate linear regression model based on REOSAVI had the worst inversion ability.SPAD-EVI2 and SPAD-RVI model based on EVI2 and RVI had certain inversion ability for SPAD value of chlorophyll content in leaves of summer maize.

关 键 词：无人机 夏玉米 穗位叶 叶绿素含量 植被指数 

分 类 号：S513[农业科学—作物学]