闽江河口湿地秋茄叶绿素含量高光谱遥感估算  

Estimating the chlorophyll content of Kandelia candel based on hyper-spectral remote sensing in the Min River Estuarine wetland

作　　者：章文龙[1,2] 曾从盛[1,2,3] 高灯州 胡伟芳[1,2] 陈晓艳[1] 林伟[1] 

机构地区：[1]福建师范大学地理科学学院,福州350007 [2]福建师范大学亚热带湿地研究中心,福州350007 [3]湿润亚热带生态地理过程教育部重点实验室,福州350007

出　　处：《生态学报》2014年第21期6190-6197,共8页Acta Ecologica Sinica

基　　金：国家基础科学人才培养基金(J1210067);福建师范大学地理科学学院研究生创新基金

摘　　要：叶绿素含量是表征植被胁迫状态的一个重要指示因子,同时也是其它生化参数估算的重要基础,对其进行遥感反演具有重要意义。选取闽江口秋茄(Kandelia candel)作为研究对象,分别于2013年4月和7月采集叶片,室内测定其叶片正面和反面反射光谱,同时测定其叶绿素含量(单位面积含量和单位质量含量)。选取13个常用参数进行敏感性分析,并进一步选取与叶绿素相关系数较高的参数建立估算模型。结果表明,秋茄叶片反面反射率高于正面,尤其在绿光波段和近红外波段部分区域(1450—2450 nm)表现较为明显。对所选取的大部分参数而言,其与单位面积叶绿素含量的相关系数要高于与单位质量叶绿素含量的相关系数;基于正面光谱计算的光谱参数与叶绿素含量的相关系数要高于基于反面光谱计算的光谱参数。估算与验证模型结果进一步表明,TCARI、Vog1、Vog2和Vog3能较好的估算不同生长期秋茄叶片的叶绿素含量。此外,在使用GM、Carter2和PSSRb估算叶片叶绿素含量时,可以适当考虑反面光谱的应用。这些结果也预示着利用高光谱遥感数据估算秋茄叶片叶绿素含量是可行的,并且具有较高的估算精度。Kandelia candel is widely distributed in tropical and subtropical region,and plays a key role in maintaining wetland function.Chlorophyll content is necessary for studying productivity and photosynthesis of vegetation,which can also indicates the healthy condition of vegetation living in a stressed environment.Remote sensing techniques offer timely,up-todate,and relatively accurate information such as biomass,leaf area index and chlorophyll content of wetland vegetation.Although plenty research efforts on estimating chlorophyll content from spectral reectance measurements have been mainly focused on forest and crop ecosystems.However,very limited work has been done at wetland vegetation.The aim of this study was to estimate the chlorophyll content of K.candel based on hyper-spectral remote sensing data.This study was carried out in the Min River Estuary,which is one of the most important estuarine wetlands in Southeast China.The laboratory spectral reflectance of K.candel leaves（ front and back） was determined by ASD Field Spec2500 in April,2013 and July,2013,and the leaf chlorophyll content（ two dimensional） was measured simultaneously.Thirteen parameters including visible ratios（ NPCI and PRI1）,visible / NIR ratios（ NDVI,Lic2,TCARI,MCRAI and PSSRa） and red edgereflectance-ratio（ Vog1,Vog2,Vog3,GM,Catter2 and CI） indices,were used to establish the estimation models.The results showed that the reflectance of leaf back was higher than that of leaf front,especially more obvious in green band and part of the near infrared band（ 1450—2450 nm）.The correlation coefficients between chlorophyll content and most of the parameters were higher when selecting area instead of quality as dimension.And the most of the parameters calculated by leaf front reflectance had higher correlation coefficient with chlorophyll content than that of leaf back.Besides,we also observed that Vog1,Vog2 and Vog3 not only had higher correlation coefficient with chlorophyll content,but were also slightly affected by le

关 键 词：叶绿素 高光谱 秋茄 闽江口 

分 类 号：S792.99[农业科学—林木遗传育种]