不同光谱类型对银川平原土壤含盐量反演精度的影响与校正

doi:10.13287/j.1001-9332.202204.025

应用生态学报 ›› 2022, Vol. 33 ›› Issue (4): 922-930.doi: 10.13287/j.1001-9332.202204.025

• 土壤物理与生态环境专栏 • 上一篇下一篇

不同光谱类型对银川平原土壤含盐量反演精度的影响与校正

陈睿华¹, 尚天浩¹, 张俊华^2*, 王怡婧¹, 贾科利¹

¹宁夏大学地理科学与规划学院, 银川 750021;
²宁夏大学生态环境学院, 西北土地退化与生态恢复国家重点实验室培育基地/西北退化生态系统恢复与重建教育部重点实验室, 银川 750021

收稿日期:2021-11-28 接受日期:2022-01-12 出版日期:2022-04-15 发布日期:2022-10-15
通讯作者: * E-mail: zhangjunhua728@163.com
作者简介:陈睿华, 男, 1996年生, 硕士研究生。主要从事精准农业与土壤质量提升研究。E-mail: dajingyuchen@163.com
基金资助:
国家自然科学基金项目(42067003,42061047)和宁夏回族自治区重点研发计划项目(2021BEG03002)资助

Effects of different spectra types on the accuracy and correction of soil salt content inversion in Yinchuan Plain, China

CHEN Rui-hua¹, SHANG Tiao-hao¹, ZHANG Jun-hua^2*, WANG Yi-jing¹, JIA Ke-li¹

¹College of Geography and Planning, Ningxia University, Yinchuan 750021, China;
²Breeding Base for Sate Key Laboratory of Land Degradation and Ecological Restoration in Northwest China/Key Laboratory for Restoration and Reconstruction of Degraded Ecosystems in Northwestern China of Ministry of Education, School of Ecology and Environment, Ningxia University, Yinchuan 750021, China

Received:2021-11-28 Accepted:2022-01-12 Online:2022-04-15 Published:2022-10-15

摘要/Abstract

摘要： 土壤盐渍化是导致土壤质量下降、耕地减产的重要因素之一。为准确快速评价银川平原土壤含盐量,本研究对野外高光谱数据和室内高光谱数据进行一阶微分(FDR)变换,逐步回归(SR)筛选特征波段,利用偏最小二乘回归(PLSR)与支持向量机(SVM)进行建模,明确适用于本地区土壤含盐量准确反演的光谱类型,并对较差光谱类型进行分段校正与全局校正,尝试提高土壤含盐量反演精度。结果表明: 基于野外光谱的土壤含盐量反演模型精度比室内光谱平均高58.9%;对室内光谱进行分段校正、全局校正后反演精度均有提高,其中,PLSR以分段校正精度更高,建模决定系数(R_c²)、验证决定系数(R_p²)和相对分析误差(RPD)分别为0.790、0.633和1.64,而SVM以全局校正精度更高,R_c²、R_p²和RPD分别为0.927、0.947和3.87;SVM模型的反演精度高于PLSR,其中,野外光谱建模效果最佳,室内全局校正光谱与室内分段校正光谱次之,室内光谱最差。因此,野外高光谱可实现对银川平原土壤表层含盐量的定量反演,经校正的室内光谱对土壤含盐量反演精度显著提升,均可为粮食安全与生态环境高质量发展提供保障。

关键词: 土壤含盐量, 野外高光谱, 室内高光谱, 分段校正, 全局校正

Abstract: Soil salinization is one of key drivers for the degradation of soil quality and yield in arable land. To accurately and quickly evaluate soil salt content in Yinchuan Plain, field and indoor hyperspectral data were processed with first order differential (FDR) transformation, then the feature bands were identified by stepwise regression (SR). Partial least squares regression (PLSR) and support vector machines (SVM) were used to build models, which were verified to figure out the optimal hyperspectral type for the study area. Moreover, segmented and global corrections were performed to process poor hyperspectral, aiming to improve the accuracy of soil salt content inversion. The results showed that the accuracy of soil salt content inversion model based on field hyperspectral data was 58.9% higher than that of the indoor hyperspectral data. The accuracy of the inversion was improved through the segmented and global correction of the indoor hyperspectral. We found that the segmented correction is more accurate for the PLSR model (R_c²=0.790, R_p²=0.633, RPD=1.64) and the global correction is more accurate for the SVM model (R_c²=0.927, R_p²=0.947, RPD=3.87). The SVM models' inversion accuracy was higher than that of PLSR, with the field hyperspectral model fitted the best, followed by the indoor hyperspectral processed with the global correction and the indoor hyperspectral processed with the segmented correction, while the indoor hyperspectral the worst. Our results suggest that field hyperspectral data could contribute to the quantitative inversion of soil salt content in Yinchuan Plain. The corrected indoor hyperspectral could significantly enhance the inversion accuracy of soil salt content, which could guarantee food security and ecological quality development.

Key words: soil salt content, field hyperspectral, indoor hyperspectral, segmented correction, global correction

陈睿华, 尚天浩, 张俊华, 王怡婧, 贾科利. 不同光谱类型对银川平原土壤含盐量反演精度的影响与校正[J]. 应用生态学报, 2022, 33(4): 922-930.

CHEN Rui-hua, SHANG Tiao-hao, ZHANG Jun-hua, WANG Yi-jing, JIA Ke-li. Effects of different spectra types on the accuracy and correction of soil salt content inversion in Yinchuan Plain, China[J]. Chinese Journal of Applied Ecology, 2022, 33(4): 922-930.

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不同光谱类型对银川平原土壤含盐量反演精度的影响与校正

Effects of different spectra types on the accuracy and correction of soil salt content inversion in Yinchuan Plain, China

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