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

PU Zhi; YU Rui-de; Yin Chang-ying; LU Yi-nong

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

- Optimal Hyperspectral Indices for Soil Salt Content Estimation on Typical Saline Soil in Arid Areas
- Bulletin of Soiland Water Conservation Vol. 31, Issue 6, Pages: 129-133(2012)
- 作者机构：
  
  1. 中国气象局乌鲁木齐沙漠气象研究所
  2. 新疆农业大学计算机与信息工程学院
  3. 中国科学院新疆生态与地理研究所
  4. 同济大学测量与国土信息工程系
  5. 新疆师范大学地理系
- 作者简介：
- 基金信息：
- DOI：
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- Published：2012
- 稿件说明：
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PU Zhi, YU Rui-de, Yin Chang-ying, et al. Optimal Hyperspectral Indices for Soil Salt Content Estimation on Typical Saline Soil in Arid Areas[J]. Bulletin of Soiland Water Conservation, 2012, 31(6): 129-133.
DOI：

PU Zhi, YU Rui-de, Yin Chang-ying, et al. Optimal Hyperspectral Indices for Soil Salt Content Estimation on Typical Saline Soil in Arid Areas[J]. Bulletin of Soiland Water Conservation, 2012, 31(6): 129-133. DOI：

摘要

盐碱土的表层土壤含盐量是土壤盐碱化程度分级的主要因素之一。对西北干旱区不同含盐量和含水率的典型盐碱土进行了分析

运用统计方法分析了5种高光谱指数与土壤含盐量的定量关系

并通过对比研究

确定了能提高盐碱土壤含盐量估算精度的最佳光谱指数及定量预测模型。结果表明

不同的指数所选择出的对土壤含盐量最敏感的波段基本都位于近红外(NIR)和短波红外波段(SWIR)

说明盐类矿物在近红外和短波红外波段(VNIR-SWIR)区域会产生特有的光谱特征。所选定的最佳光谱ND指数结构简单

易于计算

且对土壤中的水分不敏感

该技术对于大面积土壤含盐量制图具有较广的应用前景。

Abstract

Salt content in the top layer of soil is one of main factors that should be taken into account in soil salinity classification.This study analyzed three saline soil reflectance spectral database which include soils with various salt and soil moisture contents.With the help of statistic analysis

the relationship between soil salt content and five hyperspectral indices was analyzed and contrasted.The optimal hyperspectral index and spectral predicting models for soil salt content was developed.The results showed that the most sensitive wavelengths for soil salt content were in the NIR and SWIR domains

indicating possible sensitivity of the characteristic features associated with salt minerals in the VNIR-SWIR region.The selected ND index can be calculated easily and is insensitive to soil moisture

and therefore has wide applicability for large-scale soil salt content mapping.

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