[1]李聪慧,赖壮杰,刘健,等. 基于热暗点植被指数的马尾松林叶面积指数反演分析[J].西北林学院学报,2021,36(6):195-203.[doi:10.3969/j.issn.1001-7461.2021.06.28]
　LI Cong-hui,LAI Zhuang-jie,LIU Jian,et al. Inversion Analysis of Leaf Area Index of Pinus massoniana Forest Based on Hot-Dark Spot Vegetation Index[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2021,36(6):195-203.[doi:10.3969/j.issn.1001-7461.2021.06.28]
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 基于热暗点植被指数的马尾松林叶面积指数反演分析()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第36卷
期数:
2021年第6期
页码:
195-203
栏目:
出版日期:
2021-11-30

文章信息/Info

Title:
 Inversion Analysis of Leaf Area Index of Pinus massoniana Forest Based on Hot-Dark Spot Vegetation Index
文章编号:
1001-7461(2021)06-0195-09
作者:
 李聪慧1; 3; 赖壮杰2; 3; 刘健2; 3; 余坤勇2; 3*
 （1.福建开放大学 理工学院，福建 福州 350013；2.福建农林大学 林学院，福建 福州 350002；3.福建农林大学 3S技术应用研究所，福建 福州 350002）
Author(s):
 LI Cong-hui1; 3; LAI Zhuang-jie2; 3; LIU Jian2; 3; YU Kun-yong2; 3*
 (1.Polytechnic College,The Open University of Fujian,Fuzhou 350013,Fujian,China; 2.Forestry College,Fujian Agriculture and Forestry University,Fuzhou 350002,Fujian,China; 3.Institute of 3S Technology Application,Fujian Agriculture and Forestry University,Fuzhou 350002,Fujian,China)
关键词:
 ; 热暗点指数; 叶面积指数; 植被指数; 无人机; 多角度; 马尾松
Keywords:
 ; hot-dark spot index;  LAI;  vegetation index;  UAV;  multi-angular;  Pinus massoniana
分类号:
S771.8
DOI:
10.3969/j.issn.1001-7461.2021.06.28
文献标志码:
A
摘要:
 为了减少单一角度卫星遥感与传统植被指数在LAI反演过程中的误差，提升马尾松林LAI反演精度，以福建省龙岩市长汀县河田镇马尾松林为研究对象，获取多角度无人机影像和马尾松林LAI实测数据。根据研究区不同波段热暗点指数、植被指数与实测LAI的相关关系，优化热暗点植被指数构建马尾松林LAI反演模型。结果表明，基于红光波段反射率计算的热暗点比值指数HDRI-r（R2=0.398）是研究区马尾松林LAI反演的重要辅助参数；将HDRI-r引入表征研究区冠层结构的传统植被指数NDVI、GNDVI、RVI、MSAVI、NRI、SIPI、VARI，构建的热暗点植被指数NHDRI与实测马尾松林LAI相关性最高，R2为0.406 5；引入热暗点信息的植被指数（NHDRI、GNHDRI、RHDRI、MSAHDRI、NRHDRI、SIPHDRI、VAHDRI）与实测LAI的拟合R2均>0.37，相较于对应的传统植被指数，R2分别提高了82%、333%、295%、161%、1 409%、380%、192%，热暗点信息与传统植被指数的结合能够缓解植被冠层光饱和现象，有效提高马尾松林LAI反演精度；研究区马尾松林LAI范围为0.11~4.28 m2/m2，总体水平偏低，与当地马尾松林以枝叶稀疏、矮小的“老头松”为主的实际情况相符。
Abstract:
 In order to reduce the error of single-angular satellite remote sensing and traditional vegetation index inleaf area index (LAI) inversion analysis,and improve the accuracy of LAI inversion of Pinus massoniana forest,this paper took the P.massoniana forest occurring in Hetian township,Changting County，Longyan City of Fujian Province as the research object,the data of multi-angular unmanned aerial vehicle (UAV) image and measured P.massoniana LAI were obtained.According to the correlations between hot-dark spot index of different bands,vegetation index and the measured LAI,thehot-dark spot vegetation index was optimized and the LAI inversion model of P.massoniana forest was established.The results showed that the hot-dark spot ratio index (HDRI-r,R2=0.398) based on the reflectivity of red light band was an important auxiliary index for inverting LAI.The correlation between the optimal hot-dark spot vegetation index NHDRI(R2=0.406 5) which was established by introducing HDRI-r into the traditional vegetation index (NDVI,GNDVI,RVI,MSAVI,NRI,SIPI,and VARI) and the measured LAI was the highest.The fitted R2 of the vegetation indices with hot-dark spot information (NHDRI,GNHDRI,RHDRI,MSAHDRI,NRHDRI,SIPHDRI,VAHDRI) and the measured LAI were all higher than 0.37,compared with the corresponding traditional vegetation indices,the values of R2 increased by 82%,333%,295%,161%,1 409%,380%,and 192%,respectively.The combination of the hot-dark spot information and the traditional vegetation index could alleviate the phenomenon of light saturation in vegetation canopy,and effectively improve the accuracy of LAI inversion of P.massoniana forest.The LAI of P.massoniana forest ranged from 0.11 to 4.28 m2/m2,which was in low level,and reflected the actual situation of P.massoniana forest in the study area.

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备注/Memo

备注/Memo:
 收稿日期：2021-02-02修回日期：2021-03-21
基金项目：福建省高校产学项目（2019N5012、2020N5003）；国家自然科学基金面上项目（31770760）；3S技术与资源优化利用福建省高校重点实验室建设项目。
作者简介：李聪慧，硕士，讲师。研究方向：自然资源保护与利用。E-mail:405027320@qq.com
*通信作者：余坤勇，博士，副教授。研究方向：林业3S技术应用。E-mail:yuyky@126.com
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