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灰漠土土壤全氮含量的高光谱特征分析及估测

刘凡 马玲 杨光 陈建华 马雪莲 王海江

新疆农业科学2017,Vol.54Issue(1):140-147,8.
新疆农业科学2017,Vol.54Issue(1):140-147,8.DOI:10.6048/j.issn.1001-4330.2017.01.018

灰漠土土壤全氮含量的高光谱特征分析及估测

Hyperspectral Characteristic Analysis and Estimation of Total Nitrogen Content in Grey Desert Soil

刘凡 1马玲 1杨光 1陈建华 1马雪莲 1王海江1

作者信息

  • 1. 石河子大学农业资源与环境系,新疆石河子832000
  • 折叠

摘要

Abstract

[Objective] To solve the traditional soil total nitrogen determination methods such as complexity,time-consuming,energy consumption and other issues.[Method] Gray desert soil in Xinjiang was taken as our research object to study the spectral reflection characteristics of different soil total nitrogen and by using classical statistical and spectroscopy method,the remote sensing inversion models of soil total nitrogen were established and validated in the study area.[Result] The results indicated that the content of total nitrogen in soil was similar to those of different spectral reflectance.The spectral reflectance of the soil appeared near 780,1,800 and 2,140 nm wavelength.There was obvious absorption valley in the vicinity of 1,910 nm and the correlation between the total nitrogen content in soil and the original spectral reflectance was poor.The determination coefficients of first-order differential processing to original spectral reflectance were higher than original spectral reflectance and second order differential,the maximum R2 was 0.819,reaching a very significant correlation;By using the first order differential transform to extract the characteristic bands 667 and 1,414 nm,the estimation model of soil total nitrogen content was established,they were:Y =2,698.048 X667-1,062.149 X1414-0.015.The R2 was 0.75;The estimation model validation found that the R2 was 0.80.When the total nitrogen content was too large or too small,the model estimation error was relatively large,and the overall prediction accuracy was quite high.The results has provided a theoretical basis to improve hyperspectral remote sensing monitoring accuracy of soil nitrogen.[Conclusion] High spectral analysis technique has certain significance for prediction of soil total nitrogen content and rapid identification of soil total nitrogen content by using the estimation model can be achieved.

关键词

灰漠土/土壤全氮含量/光谱反射特性/高光谱估测模型

Key words

gray desert soil/total nitrogen content/hyperspectral inversion

分类

农业科技

引用本文复制引用

刘凡,马玲,杨光,陈建华,马雪莲,王海江..灰漠土土壤全氮含量的高光谱特征分析及估测[J].新疆农业科学,2017,54(1):140-147,8.

基金项目

国际科技合作项目(2015DFA11660) (2015DFA11660)

国家大学生创新创业训练计划项目(201610759002) (201610759002)

石河子大学校级项目(RC-ZX201522,SRP2016012) (RC-ZX201522,SRP2016012)

新疆农业科学

OA北大核心CSCDCSTPCD

1001-4330

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