基于吉林一号光谱星影像的农作物叶面积指数反演  

Retrieval of Crop Leaf Area Index based on Jilin-1GP Image

作　　者：杜一博 朱瑞飞 巩加龙 王栋 钟兴 DU Yibo;ZHU Ruifei;GONG Jialong;WANG Dong;ZHONG Xing(Chang Guang Satellite Technology Company Limited,Ltd,Changchun 130000,China;Jilin Provincial Key Laboratory of Satellite Application,Changchun 130000,China)

机构地区：[1]长光卫星技术股份有限公司,吉林长春130000 [2]吉林省卫星应用重点实验室,吉林长春130000

出　　处：《遥感技术与应用》2023年第4期816-826,共11页Remote Sensing Technology and Application

基　　金：国家重点研发计划(2019YFE0127000);吉林省遥感信息技术应用创新基地项目(20180623058TC);吉林省西部典型湿地生态系统生态承载力遥感评估与应用(20210203176SF)。

摘　　要：吉林一号光谱星的发射提高了我国对地观测能力,并且在农业定量反演方面具有较大的潜力,为了准确、有效地反演农作物关键参数,分析吉林一号光谱星影像的反演能力具有重要意义。以内蒙古乌拉特前旗、正蓝旗、科尔沁右翼前旗的农田为研究区,基于吉林一号光谱星影像,使用优化后的PROSAIL模型和曲线匹配算法,对不同物候期内的玉米和水稻叶面积指数(LAI)进行了反演,并结合实测LAI数据进行了精度验证。结果表明:优化后的PROSAIL模型其参数范围和参数步长更适用于农作物LAI反演,在保证精度的前提下精简了查找表的容量;基于特征值的曲线匹配算法在空间分布高度一致、误差绝对值均值为0.41的情况下,计算效率平均提高了41.43%;研究区不同物候期内的玉米和水稻LAI反演精度R^(2)为0.72~0.9,RMSE为0.32~0.49。其中,玉米开花期精度最高(R^(2)=0.9,RMSE=0.4),玉米成熟期精度最低(R^(2)=0.72,RMSE=0.47)。综上所述,基于吉林一号光谱星影像反演农作物LAI具有精度高、误差小的特点,研究结果可为该数据在农作物LAI精准反演方面提供科学方法和依据。The launch of the Jilin-1GP satellite has enhanced China’s Earth observation capabilities,and has great potential in agricultural quantitative inversion.To invert the key crop parameters accurately and effective⁃ly,it is of great significance to analyze the inversion capability of Jilin-1GP satellite images.The farmland of Urad Front Banner,Zhenglan Banner and Horqin Right Front Banner in Inner Mongolia were taken as the study area in this study,and based on the Jilin-1GP images,the optimized PROSAIL model and curve match⁃ing algorithm were used to invert the Leaf Area Index(LAI)of maize and rice in different phenological periods,and the accuracy was verified by combining the measured LAI data.Results showed that the parameter range and step size of the optimized PROSAIL model were more suitable for crop LAI inversion,and the capacity of the look-up table was reduced on the premise of ensuring the accuracy;The curve matching algorithm based on eigenvalues improved the computational efficiency by an average of 41.43%when the spatial distribution was highly consistent and the mean absolute value of the error was 0.41;The LAI inversion accuracies R^(2) of maize and rice in different phenological periods of the study area ranged from 0.72 to 0.9,and the RMSE ranged from 0.32 to 0.49.Among them,the precision of maize in the flowering stage was the highest(R^(2)=0.9,RMSE=0.4),and the precision of maize in the maturity stage was the lowest(R^(2)=0.72,RMSE=0.47).This study showed that the crop LAI inversion based on Jilin-1GP images had the characteristics of high precision and small error.The research results can provide scientific methods and basis for the accurate inversion of crop LAI with Jilin-1GP images.

关 键 词：吉林一号光谱星 农作物 PROSAIL模型 叶面积指数 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]