Inversion study of soil organic matter content based on reflectance spectroscopy and the improved hybrid extreme learning machine-Reference-Cited by-同舟云学术

Inversion study of soil organic matter content based on reflectance spectroscopy and the improved hybrid extreme learning machine

Published:2023-01 Issue: Volume:128 Page:104488
ISSN:1350-4495
Container-title:Infrared Physics & Technology
language:en
Short-container-title:Infrared Physics & Technology

Author:

Xiao Dong,Huang Jie,Li Jian,Fu Yanhua,Mao Yachun,Li Zhenni,Bao Nisha

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference48 articles.

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3. Evaluation of vis-NIR reflectance spectroscopy sensitivity to weathering for enhanced assessment of oil contaminated soils;Douglas;Sci. Total Environ.,2018

4. Research on the quantitative inversion model of heavy metals in soda saline land based on visible-near-infrared spectroscopy;Mao;Infrared Phys. Technol.,2021

5. Prediction of Soil Salinity Using Near-Infrared Reflectance Spectroscopy with Nonnegative Matrix Factorization;Chen;Appl. Spectrosc.,2016

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