孙越,顾祝军,李栋梁

• 1:江苏海洋大学海洋技术与测绘学院
• 2:南京晓庄学院环境科学学院

摘要(Abstract)：

针对卫星遥感影像获取的叶面积指数精度较低的问题,该文结合无人机低空航拍影像和卫星影像,基于最小二乘法建立了一种叶面积指数遥感反演方法,并与卫星影像像元二分模型进行了比较。结果表明:从单一植被类型到整体植被叶面积指数的反演,新方法均优于卫星影像的像元二分法,两者整体相对误差分别为27%和35%。4种植被类型中,草本植物对模型的反演精度影响较大,两者相对误差分别为32%和56%。使用该方法准确计算了长汀县相关区域叶面积指数分布,与他人结果一致。该方法提高了卫星遥感影像获取叶面积指数的精度,为大面积高精度估算区域植被提供了一种方法。

关键词(KeyWords)： 无人机;卫星影像;叶面积指数;反演模型;像元二分模型

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目（41571415）

作者(Author): 孙越,顾祝军,李栋梁

DOI: 10.16251/j.cnki.1009-2307.2021.02.016

参考文献(References)：

• [1]CHEN J M,CIHLAR J.Retrieving leaf area index of boreal conifer forests using Landsat TM images[J].Remote Sensing of Environment,1996,55(2):153-162．
• [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，2005,24(5):537-541.(WANGXiqun,MA Lyuyi,JIA Zhongkui,et al.Research and application advances in leaf area index(LAI)[J].Chinese Journal of Ecology,2005,24(5):537-541．）
• [3]方秀琴，张万昌．叶面积指数（LAI）的遥感定量方法综述[J]．国土资源遥感，2003(3):58-62.(FANG Xiuqin,ZHANG Wanchang.The application of remotely sensed data to the estimation of the leaf area index[J].Remote Sensing Land&Resources,2003(3):58-62．）
• [4]CASA R,UPRETI D,PELOSI F.Measurement and estimation of leaf area index(LAI)using commercial instruments and smartphone-based systems[C]∥IOPConference Series:Earth and Environmental Science.Bristol:IOP Publishing Ltd,2019．
• [5]CRISTINA A C,MAURO F D,BEECK M O.Acomparison of different methods for assessing leaf area index in four canopy types[J/OL].Central European Forestry Journal,2019,65(2)[2019-12-31].https：∥www.researchgate.net/publication/332752868_A_comparison_of_different_methods_for_assessing_leaf_area_index_in_four_canopy_types．
• [6]SRINET R,NANDY S,PATEL N R.Estimating leaf area index and light extinction coefficient using random forest regression algorithm in a tropical moist deciduous forest,India[J].Ecological Informatics,2019,52:94-102．
• [7]PU R,LANDY S.Evaluating seasonal effect on forest leaf area index mapping using multi-seasonal high resolution satellite pléiades imagery[J].International Journal of Applied Earth Observations and Geoinformation,2019,80:268-279．
• [8]杨雨薇，戴晓爱，牛育天，等．基于CASI数据的黑河绿洲区叶面积指数反演[J]．国土资源遥感，2017,29(4):179-184.(YANG Yuwei,DAI Xiaoai,NIU Yutian,et al.Inversion of leaf area index in Heihe Oasis based on CASI data[J].Remote Sensing Land&Resources,2017,29(4):179-184．）
• [9]陆坤，孟庆岩，孙云晓，等．基于GF-2卫星数据的孕穗期小麦叶面积指数反演：以河北省廊坊市为例[J]．国土资源遥感，2018,30(1):196-202.(LU Kun,MENGQingyan,SUN Yunxiao,et al.Estimating leaf area index of wheat at the booting stage using GF-2data:a case study of Langfang city,Heibei province[J].Remote Sensing Land&Resources,2018,30(1):196-202．）
• [10]李德仁，李明．无人机遥感系统的研究进展与应用前景[J]．武汉大学学报（信息科学版），2014,39(5):505-513,540.(LI Deren,LI Ming.Research advance and application prospect of unmanned aerial vehicle remote sensing system[J].Geomatics and Information Science of Wuhan University,2014,39(5):505-513,540．）
• [11]王利民，刘佳，杨玲波，等．基于无人机影像的农情遥感监测应用[J]．农业工程学报，2013,29(18):136-145.(WANG Limin,LIU Jia,YANG Lingbo,et al.Applications of unmanned aerial vehicle images on agricultural remote sensing monitoring[J].Transactions of the Chinese Society of Agricultural Engineering,2013,29(18):136-145．）
• [12]LIN J,PAN Y,LYU H,et al.Developing a two-step algorithm to estimate the leaf area index of forests with complex structures based on CHRIS/PROBA data[J].Forest Ecology and Management,2019,441:57-70．
• [13]李剑剑，朱小华，马灵玲，等．基于无人机高光谱数据的多类型混合作物LAI反演及尺度效应分析[J]．遥感技术与应用，2017,32(3):427-434.(LI Jianjian,ZHU Xiaohua,MA Lingling,et al.Leaf area index retrieval and scale effect analysis of multiple crops from UAV-based hyperspectral data[J].Remote Sensing Technology and Application,2017,32(3):427-434．）
• [14]高林，杨贵军，王宝山，等．基于无人机遥感影像的大豆叶面积指数反演研究[J]．中国生态农业学报，2015,23(7):868-876.(GAO Lin,YANG Guijun,WANGBaoshan,et al.Soybean leaf area index retrieval with UAV(unmanned aerial vehicle)remote sensing imagery[J].Chinese Journal of Eco-Agriculture,2015,23(7):868-876．）
• [15]潘海珠，陈仲新．无人机高光谱遥感数据在冬小麦叶面积指数反演中的应用[J]．中国农业资源与区划，2018,39(3):32-37.(PAN Haizhu,CHEN Zhongxin.Application of UVA hyperspectral remote sensing in winter wheat leaf area index inversion[J].Chinese Journal of Agricultural Resources and Regional Planning,2018,39(3):32-37．）
• [16]孙佳佳，于东升，史学正，等．植被叶面积指数与覆盖度定量表征红壤区土壤侵蚀关系的对比研究[J]．土壤学报，2010,47(6):1060-1066.(SUN Jiajia,YUDongsheng,SHI Xuezheng,et al.Comparison of between LAI and VFC in relationship with soil erosion in the red soil hilly region of south China[J].Acta Pedologica Sinica,2010,47(6):1060-1066．）
• [17]GUTMAN G,IGNATOV A.The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models[J].International Journal of Remote sensing,1998,19(8):1533-1543．
• [18]LANG A R G,XIANG Y.Estimation of leaf area index from transmission of direct sunlight in discontinuous canopies[J].Agricultural and Forest Meteorology,1986,37(3):229-243．
• [19]刘强，蔡二丽，张嘉琳，等．叶面积指数田间测量中有限长度平均法的改进[J]．植物学报，2018,53(5):671-685.(LIU Qiang,CAI Erli,ZHANG Jialin,et al.A modification of the finite-length averaging method in measuring leaf area index in field[J].Chinese Bulletin of Botany,2018,53(5):671-685．）
• [20]褚洪亮，肖青，柏军华，等．基于无人机遥感的叶面积指数反演[J]．遥感技术与应用，2017,32(1):140-148.(CHU Hongliang,XIAO Qing,BAI Junhua,et al.The retrieval of leaf area index based on remote sensing by unmanned aerial vehicle[J].Remote Sensing Technology and Application,2017,32(1):140-148．）
• [21]LINDEN S V,RABE A,HELD M,et al.The EnMAP-Box:a toolbox and application programming interface for EnMAP data processing[J].Remote Sensing,2015,7(9):11249-11266．
• [22]SANCHEZ J T,PENA J M,CASTRO A I,et al.Multi-temporal mapping of the vegetation fraction in early-season wheat fields using images from UAV[J].Computers and Electronics in Agriculture,2014,103:104-113．
• [23]江洪，汪小钦，吴波，等．地形调节植被指数构建及在植被覆盖度遥感监测中的应用[J]．福州大学学报（自然科学版），2010,38(4):527-532.(JIANG Hong,WANGXiaoqin,WU Bo,et al.A topography-adjusted vegetation index(TAVI)and its application in vegetation fraction monitoring[J].Journal of Fuzhou University(Natural Science Edition),2010,38(4):527-532．）
• [24]汪小钦，王苗苗，王绍强，等．基于可见光波段无人机遥感的植被信息提取[J]．农业工程学报，2015,31(5):152-159.(WANG Xiaoqin,WANG Miaomiao,WANGShaoqiang,et al.Extraction of vegetation information from visible unmanned aerial vehicle images[J].Transactions of the Chinese Society of Agricultural Engineering,2015,31(5):152-159．）
• [25]VERRELST J,SCHAEPMAN M E,KOETZ B,et al.Angular sensitivity analysis of vegetation indices derived from CHRIS/PROBA data[J].Remote Sensing of Environment,2008,112(5):2341-2353．
• [26]QI J,HUETE A R,CHEHBOUNI A,et al.Interpretation of vegetation indices derived from multi-temporal SPOT images[J].Remote Sensing of Environment,1993,44(1):89-101．
• [27]姚雄，余坤勇，杨玉洁，等．基于随机森林模型的林地叶面积指数遥感估算[J]．农业机械学报，2017,48(5):159-166.(YAO Xiong,YU Kunyong,YANG Yujie,et al.Estimation of forest leaf area index based on random forest model and remote sensing data[J].Transactions of the Chinese Society for Agricultural Machinery,2017,48(5):159-166.)