毕银丽;龚云丽;杨惠惠;

• 1:西安科技大学地质与环境学院
• 2:中国矿业大学(北京)地球科学与测绘工程学院

摘要(Abstract)：

以陕西大柳塔神东煤矿区微生物复垦基地6 a生沙棘人工林为研究对象,采用地物光谱仪分别测定接种丛枝菌根真菌(AMF)和不接种对照(CK)两个水平下沙棘叶片光谱反射率,同步监测相应叶绿素含量.筛选出与叶绿素含量相关性较好的光谱提取变量和常用植被指数作为因变量,利用BP神经网络和极限学习机(ELM)的建模方法反演叶绿素含量,并对反演模型进行精度评定.结果表明:接种丛枝菌根真菌6 a后沙棘叶绿素含量仍持续增加,沙棘原始光谱的绿峰值降低;不同处理各光谱特征参数对叶绿素含量的相关性不同,选取对接菌植物和对照都显著相关的特征参数,获得光谱提取变量和常用植被指数均是7个.比较BP神经网络和ELM极限学习机的建模方法,ELM建模方法显示出更好的估测能力,其中对照组与接菌组以光谱指数和光谱提取变量为自变量时模型决定系数分别高达0.814和0.862,可以较好地估测出沙棘叶片叶绿素含量,为矿区沙棘长势提供理论依据,对微生物复垦后续生态效应具有较好的现实意义.

关键词(KeyWords)： 叶绿素;AM真菌;光谱参数;BP神经网络;极限学习机

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(51974326);; 首都科技领军人才项目(Z18110006318021)

作者(Author): 毕银丽;龚云丽;杨惠惠;

Email:

DOI: 10.13247/j.cnki.jcumt.001240

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