郭云开,刘雨玲,许敏,张晓炯

• 1:长沙理工大学交通运输工程学院
• 2:长沙理工大学测绘遥感应用技术研究所

摘要(Abstract)：

针对在路域环境监测中,如何精确估算叶面积指数问题,该文提出以长韶娄高速路域为研究区,筛选出4种常用植被指数和4种红边指数两类指数,分别构建了经验模型和机器学习的反演模型,利用Sentinel-2影像数据和同步的LAI-2000地面实测数据完成路域植被叶面积指数反演。结果表明,红边波段参与运算的植被指数与植被叶面积指数敏感性是显著相关,红边指数在反演精度上更优。由此可知,相较于常见植被指数,红边指数增强了其与叶面积指数的敏感性,提高了叶面积指数估算模型精度。

关键词(KeyWords)： Sentinel-2;叶面积指数;反演模型;红边指数

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金面上项目（41671498）

作者(Author): 郭云开,刘雨玲,许敏,张晓炯

DOI: 10.16251/j.cnki.1009-2307.2021.01.012

参考文献(References)：

• [1] VERRELST J,CAMPS V.Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties-a review[J].Remote Sensing,2015,108,273-290.
• [2] ZHENG G,MOSKAL L M.Retrieving leaf area index (LAI) using remote sensing:theories,methods and sensors[J].Sensors,2015,9,2719-2745.
• [3] MULLA D J.Twenty five years of remote sensing in precision agriculture:key advances and remaining knowledge gaps[J].Biosystems Engineering,2013,114(4):358-371.
• [4] 项鑫.遥感定量反演华北平原地区冬小麦含水量[J].测绘科学,2019,44(6):212-216.(XIANG Xin.Quantitative inversion of winter wheat water content in North China Plain by remote sensing[J].Mapping Science,2019,44(6):212-216.)
• [5] SHANG J,LIU J,MA B.Mapping spatial variability of crop growth conditions using RapidEye data in Northern Ontario,Canada[J].Remote Sensing of Environment,2015,168:113-125.
• [6] LIU J,PATTEY E,JéGO G.Assessment of vegetation indices for regional crop green LAI estimation from Landsat images over multiple growing seasons[J].Remote Sens.Environ,2012,123:347-358.
• [7] SHANG J,LIU J,HUFFMAN T,et al.Estimating plant area index for monitoring crop growth dynamics using Landsat-8 and RapidEye images[J].Journal of Applied Remote Sensing,2014,8(1):1-12.
• [8] ANTHONY L.NGUY R,ANATOLY A G.Algorithms for estimating green leaf area index in C3 and C4 crops for MODIS,Landsat TM/ETM+,MERIS,Sentinel MSI/OLCI,and Venμs sensors[J].Remote Sensing Letters,2015,6:360-369.
• [9] DONG T,MENG J,SHANG J,et al.Evaluation of chlorophyll-related vegetation indices using simulated sentinel-2 data for estimation of crop fraction of absorbed photosynthetically active radiation[J].IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing,2015,8(8):4049-4059.
• [10] DONG T,LIU J,SHANG J,et al.Assessment of red-edge vegetation indices for crop leaf area index estimation[J].Remote Sensing of Environment,2018,222:133-143.
• [11] 陈旭,郝震寰.哨兵卫星Sentinel-2A数据特性及应用潜力分析[J].科技视界,2018 (16):53-55.(CHEN Xu,HAO Zhenhuan.Sentinel-2A sentinel satellite data characteristics and application potential analysis[J].Science and Technology Perspective,2018 (16):53-55.)
• [12] 苏伟,侯宁,李琪.基于Sentinel-2遥感影像的玉米冠层叶面积指数反演[J].农业机械学报,2018,49(1):151-156.(SU Wei,HOU Ning,LI Qi.Retrieval of maize canopy leaf area index based on sentinel-2 remote sensing image[J].Journal of Agricultural Machinery,2018,49(1):151-156.)
• [13] PENUELAS J,ISLA R,FILELLA I.Visible and near-infrared reflectance assessment of salinity effects on barley[J].Crop Science,1997,37(1):198-202.
• [14] HUETE A R.A modified soil adjusted vegetation index[J].Remote Sens Environ,2015,48(2):119-126.
• [15] RONDEAUX G,STEVEN M,BARET F.Optimization of soil-adjusted vegetation indices[J].Remote Sensing of Environment,1996,55(2):95-107.
• [16] HUETE A R,JUSTICE C,LIU H.Development of vegetation and soil indices for MODIS-EOS[J].Remote Sensing of Environment,1994,49(3):224-234.
• [17] GITELSON A,MERZLYAK M N.Spectral reflectance changes associated with autumn senescence of aesculus hippocastanum L.and Acer platanoides L.leaves.spectral features and relation to chlorophyll estimation[J].Journal of Plant Physiology,1994,143(3):286-292.
• [18] WU C,NIU Z,TANG Q,et al.Estimating chlorophyll content from hyperspectral vegetation indices:Modeling and validation[J].Agricultural and Forest Meteorology,2008,148(8-9):1230-1241.
• [19] GITELSON A A,GRITZ Y,MERZLYAK M N.Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves[J].Journal of Plant Physiology,2003,160(3):271-282.
• [20] SIMS D A,GAMON J A.Relationships between leaf pigment content and spectral reflectance across a wide range of species,leaf structures and developmental stages[J].Remote Sensing of Environment,2002,81(2/3):337-354.