Relationship Between Saline Concentration and Its Reflectance Spectra for Seashore Saline Soil

LU Xia

您当前的位置：

首页 >

文章列表页 >

Relationship Between Saline Concentration and Its Reflectance Spectra for Seashore Saline Soil

- Relationship Between Saline Concentration and Its Reflectance Spectra for Seashore Saline Soil
- Bulletin of Soiland Water Conservation Vol. 31, Issue 5, Pages: 186-190(2012)
- 作者机构：
  
  淮海工学院测绘工程学院,江苏,连云港,222005
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2012
- 稿件说明：
移动端阅览
LU Xia. Relationship Between Saline Concentration and Its Reflectance Spectra for Seashore Saline Soil[J]. Bulletin of Soiland Water Conservation, 2012, 31(5): 186-190.
DOI：

LU Xia. Relationship Between Saline Concentration and Its Reflectance Spectra for Seashore Saline Soil[J]. Bulletin of Soiland Water Conservation, 2012, 31(5): 186-190. DOI：

摘要

以连云港典型滨海盐土盐分含量和室内高光谱反射率为研究对象

分析了盐土的光谱特征和盐分含量的分布特点

研究了土壤盐分含量与光谱反射率及其变换形式之间的相关性。运用多元逐步线性回归和曲线模拟构建土壤盐分含量的高光谱预测模型。结果表明

盐土在400～900nm范围内整体呈现先下降后缓慢上升的规律

在600～625nm范围内不同土样的反射率存在较大差异。土壤盐分含量与光谱反射率的一阶导数以及反射率倒数的一阶导数存在显著相关性

与615nm波段的反射率一阶导数相关性最大

相关系数达-0.739。运用S函数构建土壤盐分含量的预测模型精度最高

为0.555。该研究可为深入探讨典型滨海盐土盐分含量的快速检测提供一种新的途径和方法。

Abstract

Saline concentration and corresponding indoor hyperspectral reflectance spectra for seashore saline soil samples were taken as research objects.Characteristics of reflectance spectra and the distribution pattern of soil salinity were analyzed in detail.Accordingly

correlations between soil salinity and its reflectance spectra and transformation of spectra were discussed deeply. Then

estimation models of soil saline concen-tration were established by using multivariate stepwise linear regression and curve estimation method. Re-sults showed that the reflectance spectra ranging from 400to 900nm presented a feature of decreasing firstly and then gradual increasing

while from 600to 625nm

the reflectance spectra had a large difference for dif-ferent soil samples.There existed significant correlation between soil salinity and first derivatives of reflec-tance spectra and its inverse. The largest correlation coefficient was up to 0.739. Soil salinity can be best es-timated by using S function and the R2 was 0.555. The research may provide a new measure for further dis-cussing the rapid detection of soil salinity at a large scale.

关键词

Keywords

references

Views

1436

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Estimation of soil moisture and organic matter content in saline-alkaline farmland of Hetao Plain based on interpretable machine learning

Optimal Hyperspectral Indices for Soil Salt Content Estimation on Typical Saline Soil in Arid Areas

Inversion Technology of Soil Water Content Based on Hyperspectral Image Unmixing

Hyperspectral Estimation of Canopy Chlorophyll Content in Summer Corn in Guanzhong Area

Estimating Content of Soil Chloride Based on Hyperspectral Data

Related Author

Hao Fengxia

Zhang Junhua

Ding Qidong

Jia Keli

Yang Lingbin

Huang Huayu

LU Yi-nong

Yin Chang-ying

Related Institution

College of Chemistry & Chemical Engineering， Ningxia University

College of Geographical Sciences and Planning， Ningxia University

College of Ecology and Environmental Science， Ningxia University

Department of Geography, Xinjiang Normal University

Department of Surveying and Geo-informatics, Tongji University

⁰