LAI inversion of artificial coniferous forest Based on mechanism model
-
摘要: 以内蒙古赤峰市旺业甸实验林场人工针叶林为研究区域,以哨兵2A(Sentinel-2A)多光谱遥感影像和外业测量的LAI为基础,探讨了5-scale+Liberty机理耦合模型和经验统计模型反演人工针叶林LAI的规律。结果表明:基于一元线性模型估测的LAI精度较低,R2=0.619,RMSE=1.6107;基于机理模型反演的LAI较高,R2=0.8222,RMSE=0.9414,并进一步分析了不同步长情况下,5-scale+Liberty模型反演的LAI与实测的LAI之间的关系,步长的大小一定程度上影响LAI反演精度。Abstract: Using 5-scale+Liberty mechanism model and empirical statistical model, the law of LAI inversion of artificial coniferous forest is discussed based on the data of Sentinel-2A and measured LAI in Wangyedian Experimental Forest Farm in Chifeng city of Inner Mongolia.The results show that the precision(R2=0.619, RMSE=1.6107) estimated by univariate linear model is lower, but the precision(R2=0.8222, RMSE=0.9414) estimated by 5-scale+Liberty mechanism model is higher, and the relationship between 5-scale inversion LAI at different paces and measured LAI is further analyzed, the step length affects the LAI inversion accuracy to some extent.
-
Keywords:
- LAI /
- liberty model /
- 5-scale model /
- lookup table
-
-
[1] 赵英时, 等.遥感应用分析原理与方法[M].北京:科学出版社, 2003. [2] 王希群, 马履一, 贾忠奎等.叶面积指数的研究和应用进展[J].生态学杂志, 2005(05):537-541. [3] 朱迪恩, 徐小军, 杜华强等.基于MODIS时间序列反射率数据的雷竹林LAI反演[J].应用生态学报, 2018, 29(07):2391-2400. [4] Ryu Youngryel, Verfaillie Joseph, Macfarlane Craiget al.Continuous observation of tree leaf area index at ecosystem scale using upward-pointing digital cameras[J]. Remote Sensing of Environment, 2012, 126:116-125.
[5] 张小全, 徐德应, 赵茂盛.林冠结构、辐射传输与冠层光合作用研究综述[J].林业科学研究, 1999(04):411-421. [6] 范闻捷, 闫彬彦, 徐希孺.尺度转换规律与同步反演作物播种面积和叶面积指数[J].中国科学:地球科学, 2010, 40(12):1725-1732. [7] Xiaowen Li, Alan H. Strahler.GeometricOptical Modeling of a Conifer Forest Canopy[J].IEEE Transactions on Geoscience and Remote Sensing, 1985, GE-23(5).
[8] Chen J.M, Leblanc S.G. A four-scale bidirectional reflectance model based on canopy architecture[J]. IEEE Transactions on Geoscience and Remote Sensing, 1997, 35(5).
[9] Derek R Peddle, Ryan L Johnson, Josef Cihlar, Rasim Latifovic. Large area forest classification and biophysical parameter estimation using the 5-Scale canopy reflectance model in Multiple-Forward-Mode[J].Remote Sensing of Environment, 2002.89(2).
[10] Jacquemoud S, Baret F. PROSPECT:A model of leaf optical properties spectra[J]. Remote Sensing of Environment, 1990, 34(2).
[11] K.F.Huemmrich, The GeoSail model:a simple addition to the SAIL model to describe discontinuous canopy reflectance[J]. Remote Sensing of Environment, 2001.75(3).
[12] Dawson Terence P, Curran Paul J, Plummer Stephen E. LIBERTY-Modeling the Effects of Leaf Biochemical Concentration on Reflectance Spectra[J]. Remote Sensing of Environment, 1998, 65(1):50-60.
[13] 李海洋, 范文义, 于颖等.基于Prospect, Liberty和Geosail模型的森林叶面积指数的反演[J].林业科学, 2011, 47(09):75-81. [14] 陈瀚阅, 黄文江, 牛铮, 高帅.基于几何光学模型的人工林叶面积指数遥感反演[J].地球信息科学学报, 2012, 14(03):358-365. [15] 高凯旋.基于几何光学模型的森林叶面积指数遥感反演研究[D].河南理工大学, 2020.DOI: 10.27116/d.cnki.gjzgc.2020.000183. [16] 潘颖, 丁鸣鸣, 林杰, 代侨, 郭赓, 崔琳琳.基于PROSAIL模型和多角度遥感数据的森林叶面积指数反演[J].林业科学, 2021, 57(04):90-106. [17] 谷成燕, 杜华强, 周国模, 韩凝, 徐小军, 赵晓, 孙晓艳.基于PROSAIL辐射传输模型的毛竹林叶面积指数遥感反演[J].应用生态学报, 2013, 24(08):2248-2256.DOI: 10.13287/j.1001-9332.2013.0383. [18] 刘洋, 刘荣高, 刘斯亮.基于物理模型训练神经网络的作物叶面积指数遥感反演研究[J].地球信息科学学报, 2010, 12(3):426-435. [19] Chen J M, Pavlic G, Brown L. Derivation and vali dation of Canada-wide coarse-resolution leaf area index maps using high-resolution satellite imagery and ground measurements[J]. Remote Sensing of Environment, 2002, 80(1):165-184.
[20] 蔡博峰, 绍霞.基于PROSAIL+SAIL模型的遥感叶面积指数反演[J].国土资源遥感, 2007, 2:39-43.
计量
- 文章访问数: 0
- HTML全文浏览量: 0
- PDF下载量: 0