张冬冬,孙永华,田杰,黄锦,李明超

• 1:首都师范大学城市环境过程与数字模拟国家重点实验室培育基地
• 2:首都师范大学水资源安全北京实验室
• 3:首都师范大学资源环境与旅游学院
• 4:国家海洋环境预报中心

摘要(Abstract)：

针对三江平原洪河湿地保护区内主要特征植被冠层的叶绿素含量,采用PROSAIL模型从物理角度进行反演。首先将叶面积指数、叶片结构参数、等价水厚度、叶绿素实测含量等一些植被理化参数的实测值输入模型得到模拟光谱数据,然后与实测光谱数据对比验证其准确性。在模型中,通过固定其他参量不变,取叶绿素含量为唯一值时,考察在不同叶面积指数下叶绿素含量对冠层反射率的影响。结果显示,植被冠层叶绿素含量的敏感波段为555nm和720nm。基于PROSAIL模型的叶绿素反演方法较传统的统计模型相比是较好且稳健的方法。

关键词(KeyWords)： PROSAIL模型;模拟光谱;叶绿素反演;三江平原

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(41201075);; 高等学校博士学科点专项科研基金项目(20121108120007)

作者(Author): 张冬冬,孙永华,田杰,黄锦,李明超

DOI: 10.16251/j.cnki.1009-2307.2018.05.009

参考文献(References)：

• [1]赵祥,刘素红,王培娟,等.基于高光谱数据的小麦叶绿素含量反演[J].地理与地理信息科学,2004(3):36-39.(ZHAO Xiang,LIU Suhong,WANG Peijuan,et al.A method for inverting chlorophyll content of wheat using hyperspectral[J].Geography and Geo-Information Science,2004(3):36-39.)
• [2]MICHIO S,TSUYOSHI A.Estimating grain yield of maturing rice canopies using high spectral resolution reflectance measurements[J].Remote Sensing of Environment,1991,36:45-53.
• [3]HORLCR D N,DOCKRAY M B,et al.Approaches to detection of geochemical stress in vegetation[J].Advanced Space Research,1983,3:175-195.
• [4]杨峰,范亚民,李建龙,等.高光谱数据估测稻麦叶面积指数和叶绿素密度[J].农业工程学报.2010,26(2):237-243.(YANG Feng,FAN Yamin,LI Jianlong,et al.Estimating LAI and CCD of rice and wheat using hyperspectral remote sensing data[J].Transactions of the CSAE,2010,26(2):237-243.)
• [5]佃袁勇,方圣辉,徐永荣,等.森林叶片叶绿素含量反演的比较与分析[J].测绘信息与工程,2011(1):11-14.DIAN Yuanyong,FANG Shenghui,XU Yongrong,et al.Comparative analysis of spectral indices in retrieval of forest foliar chlorophyll concentration[J].Journal of Geomatics,2011(1):11-14.
• [6]童庆禧,张兵,郑兰芬.高光谱遥感:原理、技术与应用[M].北京:高等教育出版社,2006.(TONG Qingxi,ZHANG Bing,ZHENG Lanfen.Hyperspectral remote sensing principle,technology and application[M].Beijing:Higher Education Press,2006.)
• [7]李淑敏,李红,孙丹峰,等.PROSAIL冠层光谱模型遥感反演区域叶面积指数[J].光谱学与光谱分析,2009(10):2725-2729.(LI Shumin,LI Hong,SUN Danfeng,et al.Estimation of regional leaf area index by remote sensing inversion of PROSAIL canopy spectral model[J].Spectroscopy and Spectral Analysis,2009(10):2725-2729.)
• [8]杨飞,孙九林,张柏,等.基于PROSAIL模型及TM与实测数据的MODISLAI精度评价[J].农业工程学报,2010(4):192-197.(YANG Fei,SUN Jiulin,ZHANG Bo,et al.Assessment of MODISLAI product accuracy based on the PROSAIL model,TM and field measurements[J].Transactions of the Chinese Society of Agricultural Engineering,2010(4):192-197.)
• [9]吕杰.基于支持向量机的作物叶绿素含量反演模型[J].测绘科学,2015,40(9):88-91.(LV Jie.Hyperspectral inversion models of crop chlorophyll content based on support vector machine[J].Science of Surveying and Mapping,2015,40(9):88-91.)
• [10]郭云开,张进会.路域植被叶绿素多光谱遥感定量反演研究[J].测绘通报,2014(12):5-8.(GUO Yunkai,ZHANG Jinhui.Quantitative inversion research of road vegetation chlorophyll by using multispectral remote sensing[J].Bulletin of Surveying and Mapping,2014(12):5-8.)
• [11]CROSETTO M,TARANTOLA S.Uncertaint and sensitivity analysis:tools for GIS-based model implementation[J].International Journal of Geographical Information Science,2001,15(5):415-437.
• [12]王李娟,牛铮.PROSAIL模型的参数敏感性研究[J].遥感技术与应用,2014,29(2):219-223.(WANG Lijuan,NIU Zheng.Sensitivity analysis of vegetation parameters based on PROSAIL model[J].Remote Sensing Technology and Application,2014,29(2):219-223.)
• [13]JACQUEMOUD S,VERHOEF W,BARET F,et al.PROSPECT+SAIL models:A review of use for vegetation characterization[J].Remote Sensing of Environment,2009,113:56-66.
• [14]JACQUEMOUD S,BARET F.Prospec:A model of leaf optical properties[J].Remote Sensing of Environment,1990,34:75-91.
• [15]KUUSK A.The hot-spot effect in plant canopy reflectance:photon-vegetation interactions[J].Application In Optical Remote Sensing and Plant Ecology,1991:139-159.