摘要
为了能够根据遥感数据类型实现指数的优化选择进而提高叶面积指数的反演精度,该研究分析了不同波段宽度(5~80 nm)对植被指数反演叶面积指数精度的影响。通过比较反演模型的决定系数均值,筛选出14个模型精度较高的植被指数,并探讨了不同波段宽度的选取对各指数叶面积指数反演精度的影响。结果表明,波段宽度对不同植被指数的影响可分为3类:1)OSAVI2等指数波宽越窄,反演精度越高,更适合应用于高光谱遥感数据;2)SR[800,680]等指数随着波段宽度的增加,反演精度先升后降,最适波宽为35 nm,适用于中等光谱分辨率的遥感数据;3)SR[675,700]等指数随着波段宽度的增大,反演精度不断提高,在多光谱数据中有更好的应用潜力。
To improve the accuracy and universality of the inversion model of the leaf area index,on the one hand,many researchers constantly optimized inversion algorithm,on the other hand,they were committed to analyzing the influence of interference factors such as soil background,soil type,observation geometry and hot spot effected on the inversion process of leaf area index.Band width is generally considered as an important factor affecting the inversion of vegetation parameters.However,there were few studies on the influence of band width on estimating leaf area index.To optimize the selection of vegetation indices based on the type of remote sensing data,the influence of different band widths on the inversion model established by vegetation index was analyzed.Firstly,the spectral reflectance of different band widths was simulated by the measured wheat spectral data set.The initial band width was set to 5 nm and gradually increased to 80 nm in 5 nm steps.On this basis,28 vegetation indices commonly used for inversion of leaf area indices,such as SR[800680],NDCI and Carte2,were calculated.To select the vegetation index with greater potential to estimate the leaf area index,the mean value of the coefficient of determination was used as a prediction accuracy measure,and 14 vegetation indices such as OSAVI2,Carte3 and SR[800680]were screened out.Then,by analyzing the sensitivity of 14 indices and variation of coefficient of determination to band widths,the influence of band widths on the accuracy of the leaf area index estimated by vegetation indices was discussed.The results indicated that the band width was one of the important factors that affected the accuracy of the inversion of the leaf area index,and the influence of band width on vegetation indices was inconsistent.According to the trend of coefficient determination,the indices were divided into three categories:(1)coefficient of determination of inversion models built by vegetation indices decreased with the increase of band width.This type of indices included OS
作者
黄婷
梁亮
耿笛
李丽
王李娟
王树果
罗翔
杨敏华
Huang Ting;Liang Liang;Geng Di;Li Li;Wang Lijuan;Wang Shuguo;Luo Xiang;Yang Minhua(College of Geography Surveying and Urban-Rural Planning,Jiangsu Normal University,Xuzhou 221000,China;State Key Laboratory of Remote Sensing Science,Beijing 100101,China;Institute of Agricultural Engineering,Jiangxi Academy of Agricultural Sciences,Nanchang 330000,China;School of Geoscience and Information Physics,Central South University,Changsha 410083,China)
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2020年第4期168-177,共10页
Transactions of the Chinese Society of Agricultural Engineering
基金
遥感科学国家重点实验室开放基金(OFSLRSS201804)
江苏省自然科学基金(BK20181474)
国家自然科学基金(41401473)
江苏高校优势学科建设工程资助项目(PAPD)资助。
