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Remote Sensing Technology and Application. 2023, (01) Core

Research on Hyperspectral Data of Ecological Stoichiometric Characteristics of Suaeda salsa in Liaohe Estuary based on Machine ModelChinese Full TextEnglish Full Text (MT)

LIU Zhijun;CUI Lijuan;LI Wei;DOU Zhiguo;LEI Yinru;PAN Xu;LI Jing;ZHAO Xinsheng;ZHAI Xiajie;Institute of Wetland Research, Chinese Academy of Forestry, Beijing Key Laboratory of Wetland Ecological Function and Restoration;Beijing Hanshiqiao National Wetland Ecosystem Research Station;

Abstract: The inversion of nutrient element content in plants through plant reflectance spectrum information can quickly monitor the states of wetland plants. Taking Suaeda salsa in the Liaohe Estuary Wetland as the research object, three machine models including Random Forest（RF）, Support Vector Machine Regress（SVR） and Backpropagation Neural Network（BPNN） are selected based on canopy hyperspectral data to model inversing carbon, nitrogen, phosphorus element content and ecological stoichiometry, and by t... More
Keywords：

Suaeda salsa; Element inversion; Hyperspectral; Machine model;

  • Series：

    (A) Mathematics/ Physics/ Mechanics/ Astronomy; (I) Electronic Technology ＆ Information Science; (C) Architecture/ Energy/ Traffic/ Electromechanics, etc

  • Subject：

    Biology; Industrial Current Technology and Equipment; Automation Technology

  • Classification Code：

    Q948;TP751

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