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  • 软件名称:基于光谱分析的长江口湿地互花米草叶片叶绿素含量反演研究
  • 软件大小: 0.00 B
  • 软件评级: ★★★
  • 开 发 商: 王佳鹏,施润和,张超,刘浦东,曾毓燕
  • 软件来源: 《遥感技术与应用》
  • 解压密码:www.gissky.net

资源简介

摘要: 互花米草是我国滨海湿地主要入侵植物之一,对当地生态系统产生深远影响,其叶绿素含量信息是湿地生态系统关键生态功能定量化研究的重要基础数据。以长江口崇明东滩湿地为研究区,以实测互花米草叶片光谱反射率和总叶绿素含量为数据源,在400~1 000 nm范围内研究原始光谱反射率和一阶导数光谱反射率的比值形式(RVI)与归一化差值形式(NDVI)组合,与叶绿素含量的相关性分析,并构建叶绿素含量估算模型。结果表明:基于原始光谱反射率的RVI和NDVI植被指数形式所构建的模型的精度最高,均方根误差RMSE分别达到0.24和0.25;一阶导数光谱反射率因噪声影响较大,其估算效果不佳;从模型所入选波段来看,红边波段在互花米草叶绿素含量估算中尤为重要。  关键词: 互花米草;  叶绿素;  光谱反射率;  RVI;  NDVI;  长江口     Abstract: Spartina alterniflora is 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.

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