基于地理环境要素的叶面积指数遥感定量反演
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摘要
叶面积指数(LAI)是分析冠层结构最常用的参数之一,它控制着植被的生物、物理过程,如光合、呼吸、蒸腾、碳循环和降水截获。但是通过地面直接测量来获取大面积的LAI十分困难,而传统的基于单植被指数的LAI反演方法也具有一定的缺陷。以福州市辖区与闽侯县的阔叶林和处于生殖生长阶段的水稻为研究对象,在传统单植被指数的LAI反演方法的基础上引进植被含水量、植被覆盖度和地形3个核心环境因子来建立LAI估算模型。结果表明:基于最佳植被指数与环境因子的LAI估算模型与未考虑环境因子的单植被指数LAI估算模型相比,其验证精度有所提高。其中,就阔叶林的LAI定量反演模型而言,R~2由0. 706～0. 717提升至0. 755,RMSD由0. 292～0. 297降低至0. 271;就生殖生长阶段的水稻LAI定量反演模型而言,R~2由0. 724～0. 879提升至0. 952,RMSD由0. 696～1. 054降低至0. 441,实现了较高精度的LAI定量反演模型,为福州市辖区及其周边闽侯县区域的LAI快速定量监测奠定基础。
Leaf area index( LAI) is one of the most commonly used parameters in the analysis of canopy structure. Based on the traditional inversion method of leaf area index of single vegetation index,three core environmental factors,vegetation water content,vegetation coverage and landform,are introduced to establish the estimation model of LAI in Fuzhou municipal districts and Minhou County. The results show that the estimation model of leaf area index based on optimal vegetation index and environmental factor is better than that of single vegetation index estimation model without environmental factor. In terms of quantitative inversion model of leaf area index of broad-leaved forest,R~2 increased from 0. 706～0. 717 to 0. 755,RMSD reduced from 0. 292 ～ 0. 297 to 0. 271. As far as the quantitative inversion model of leaf area index for rice at reproductive growth stage is concerned,R~2 raised from 0. 724 ～0. 879 to 0. 952,RMSD reduced from 0. 696 ～ 1. 054 to 0. 441. The relatively high precision quantitative inversion model of leaf area index is realized,which lays a foundation for rapid quantitative monitoring of leaf area index in Fuzhou municipal district and its surrounding Minhou county.
Leaf area index( LAI) is one of the most commonly used parameters in the analysis of canopy structure. Based on the traditional inversion method of leaf area index of single vegetation index,three core environmental factors,vegetation water content,vegetation coverage and landform,are introduced to establish the estimation model of LAI in Fuzhou municipal districts and Minhou County. The results show that the estimation model of leaf area index based on optimal vegetation index and environmental factor is better than that of single vegetation index estimation model without environmental factor. In terms of quantitative inversion model of leaf area index of broad-leaved forest,R~2 increased from 0. 706～0. 717 to 0. 755,RMSD reduced from 0. 292 ～ 0. 297 to 0. 271. As far as the quantitative inversion model of leaf area index for rice at reproductive growth stage is concerned,R~2 raised from 0. 724 ～0. 879 to 0. 952,RMSD reduced from 0. 696 ～ 1. 054 to 0. 441. The relatively high precision quantitative inversion model of leaf area index is realized,which lays a foundation for rapid quantitative monitoring of leaf area index in Fuzhou municipal district and its surrounding Minhou county.
引文
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[22]刘占宇,黄敬峰,王福民,等.估算水稻叶面积指数的调节型归一化植被指数[J].中国农业科学,2008,(10):3350-3356.
[23]肖科.基于不同地面测定方法的华西雨屏区阔叶林叶面积指数的遥感反演[D].成都:四川农业大学,2014:9-11.
[24]吕雄杰,潘剑君,张佳宝,等.水稻冠层光谱特征及其与LAI的关系研究[J].遥感技术与应用,2004,19(1):24-29.
[25]王谦,陈景玲,孙治强.LAI-2000冠层分析仪在不同植物群体光分布特征研究中的应用[J].中国农业科学,2006,39(5):922-927.
[26]辛明月,殷红,陈龙,等.不同生育期水稻叶面积指数的高光谱遥感估算模型[J].中国农业气象,2015,36(6):762-768.
[27]黄敬峰,王福民,王秀珍.水稻高光谱遥感实验研究[M].浙江:浙江大学出版社,2010:59-92.
[28]孙东.亚热带常绿阔叶林冠层结构与地形因子的关系研究[D].广州:华南农业大学,2012:12-17.
[29]吕桂英.水分对作物生长发育和产品质量的影响[J].中国种业,2007,(3):61-62.
[30]田玉鹏.亚热带常绿阔叶林植物发育的生态学研究[D].上海:华东师范大学,2007:29-31.
(1)https://earthexplorer.usgs.gov/.
[2]WATSON D J.Comparative physiological studies on the growth of field crops:I.variation in net assimilation rate and leaf area between species and varieties,and within and between years[J].Annals of Botany,1947,11(1):41-76.
[3]CHEN J M,BLACK T A.Defining leaf area index for non-flat leaves[J].Plant Cell and Environment,2010,15(4):421-429.
[4]利奥波德.植物的生长和发育[M].颜香琼,译.1975年第2版.北京:科学出版社,1984:1-13.
[5]保罗·希欧多尔.木本植物生理学[M].汪振儒,译.1979年版.北京:中国林业出版社,1985:74-75.
[6]MEDINA E,KLINGE H.Productivity of tropical forests and tropical woodlands[C]//Physiological Plant Ecology IV.Berlin Heidelberg:Springer,1983:281-303.
[7]WATSON D J.Comparative physiological studies on the growth of field crops:I.variation in net assimilation rate and leaf area between species and varieties,and within and between years[J].Annals of Botany,1947,11(41):41-76.
[8]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,2003,15(3):58-62.
[9]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.
[10]刘洋,刘荣高,陈镜明,等.叶面积指数遥感反演研究进展与展望[J].地球信息科学学报,2013,15(5):734-743.
[11]JACQUEMOUN S,BACOUR C,POLIVE H,et al.Comparison of four radioactive transfer models to simulate plant canopies reflectance:Direct and inverse mode[J].Remote Sensing of Environment,2000,74(3):417-481.
[12]EKLUNDH L,HARRIE L,KUUSK A.Investigating relationships between Landsat ETM+sensor data and leaf area index in a boreal conifer forest[J].Remote Sensing of Environment,2001,78:239-251.
[13]李凤秀,张柏.玉米叶面积指数与高光谱植被指数关系研究[J].遥感技术与应用,2007,50(10):586-592.
[14]李苗苗.植被覆盖度的遥感估算方法研究[D].北京:中国科学院研究生院(遥感应用研究所),2003:10-22.
[15]李荣春,陶洪斌,张竹琴,等.基于图像处理技术的夏玉米叶面积指数估算方法研究[J].安徽农业科学,2009,37(26):12871-12872.
[16]陆秀明,黄庆,孙雪晨,等.图像处理技术估测水稻叶面积指数的研究[J].中国农学通报,2011,27(3):65-68.
[17]沈泽昊.山地森林样带植被-环境关系的多尺度研究[J].生态学报,2002,22(4):461-470.
[18]靳华安,李爱农,边金虎,等.西南地区不同山地环境梯度叶面积指数遥感反演[J].遥感技术与应用,2016,31(1):42-50.
[19]Colombo R,Meroni M,Marchesi A,et al.Estimation of leaf and canopy water content in poplar plantations by means of hyperspectral indices and inverse modeling[J].Remote Sensing of Environment,2008,112(4):1820-1834.
[20]ZHANG J H,GUO W J.Studying on spectral characteristics of winter wheat with different soil moisture condition[C].The2nd International Symposium on Recent Advances in Quantitative Remote Sensing:RAQRS'II,Spain:2006.
[21]李喆,胡蝶,赵登忠,等.宽波段遥感植被指数研究进展综述[J].长江科学院院报,2015,32(1):125-130.
[22]刘占宇,黄敬峰,王福民,等.估算水稻叶面积指数的调节型归一化植被指数[J].中国农业科学,2008,(10):3350-3356.
[23]肖科.基于不同地面测定方法的华西雨屏区阔叶林叶面积指数的遥感反演[D].成都:四川农业大学,2014:9-11.
[24]吕雄杰,潘剑君,张佳宝,等.水稻冠层光谱特征及其与LAI的关系研究[J].遥感技术与应用,2004,19(1):24-29.
[25]王谦,陈景玲,孙治强.LAI-2000冠层分析仪在不同植物群体光分布特征研究中的应用[J].中国农业科学,2006,39(5):922-927.
[26]辛明月,殷红,陈龙,等.不同生育期水稻叶面积指数的高光谱遥感估算模型[J].中国农业气象,2015,36(6):762-768.
[27]黄敬峰,王福民,王秀珍.水稻高光谱遥感实验研究[M].浙江:浙江大学出版社,2010:59-92.
[28]孙东.亚热带常绿阔叶林冠层结构与地形因子的关系研究[D].广州:华南农业大学,2012:12-17.
[29]吕桂英.水分对作物生长发育和产品质量的影响[J].中国种业,2007,(3):61-62.
[30]田玉鹏.亚热带常绿阔叶林植物发育的生态学研究[D].上海:华东师范大学,2007:29-31.
(1)https://earthexplorer.usgs.gov/.