Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Remote Sensing Technology and Application》 2017-06
Add to Favorite Get Latest Update

Study on the Inversion of Chlorophyll Content of SpartinaAlterniflora Leaf in the Yangtze River Estuary Wetland based on Spectral Analysis

Wang Jiapeng;Shi Runhe;Zhang Chao;Liu Pudong;Zeng Yuyan;Key Laboratory of Geographic Information Science,Ministry of Education,East China Normal University;School of Geographic Sciences,East China Normal University;Joint Laboratory for Environmental Remote Sensing and Data Assimilation,ECNU and CEODE;Joint Research Institute for New Energy and the Environment,East China Normal University and Colorado State University;  
Spartina alterniflorais one of the most important invasive species in the coastal wetlands in China,which have a profound impact on the local ecological system.The information of chlorophyll content is an important basic data for quantitative research on key ecological function of wetland ecosystem.The Yangtze River in Chongming Dongtan wetland is the study area.Based on the measured leaf spectral reflectance and total chlorophyll content of Spartina alterniflora,in the range of 400~1 000 nm,the ratio of the original form of the spectral reflectance and first derivative spectral reflectance(RVI)and normalized difference vegetation index(NDVI)in the form of combination are established for the correlation with the content of chlorophyll and the construction of the estimation model.The results show that RVI and NDVI vegetation index form model based on the original spectra have the highest accuracy,whose root mean square error(RMSE)are up to respectively 0.24 and 0.25;Because of the nosie in the first derivative spectral reflectance,the estimation model of chlorophyll has poor results;Based on the band selected from the model,the red edge band is particularly important in the estimation of chlorophyll content of Spartina alterniflora.
【Fund】: 国家重点研发计划项目(2016YFC1302602);; 上海市科委重大项目(15dz1207805);; 上海市卫计委重点学科建设项目(15GWZK0201);; 国家自然科学基金青年项目(31500392);; 中国博士后科学基金项目(2015M581569);; 中央高校基本科研基金;; 上海市城市化生态过程与生态恢复重点实验室开放课题(SHUES2017B01)
【CateGory Index】: Q948
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved