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基于ZY1E遥感影像的杞麓湖流域耕地土壤有机质含量预测

吴奇涛 郑毅 李晓琳 侯磊 梁启斌 王艳霞 张成程

南方农业学报2025,Vol.56Issue(1):64-73,10.
南方农业学报2025,Vol.56Issue(1):64-73,10.DOI:10.3969/j.issn.2095-1191.2025.01.006

基于ZY1E遥感影像的杞麓湖流域耕地土壤有机质含量预测

Prediction of soil organic matter content in cultivated land of Qilu Lake basin based on ZY1E remote sensing images

吴奇涛 1郑毅 2李晓琳 3侯磊 4梁启斌 4王艳霞 1张成程5

作者信息

  • 1. 西南林业大学水土保持学院,云南 昆明 650224
  • 2. 云南农业大学植物保护学院,云南 昆明 650201||云南开放大学,云南 昆明 650500
  • 3. 西南林业大学水土保持学院,云南 昆明 650224||云南农业大学植物保护学院,云南 昆明 650201
  • 4. 西南林业大学生态与环境学院,云南 昆明 650224
  • 5. 国家林业和草原局西南调查规划院,云南 昆明 650021
  • 折叠

摘要

Abstract

[Objective]To study the relationship between the content of soil organic matter(SOM)in cultivated land within the Qilu Lake basin and the spectra of satellite images,clarify the spectral characteristics of SOM,establish an in-version model for the content of SOM,which could provide reference basis for precise fertilization of cultivated land soil in Qilu Lake basin.[Method]Based on the ZY1E hyperspectral remote sensing data of the Qilu Lake basin,the original reflectance(RF),first order differentiation(FDR),ratio soil index(RSI)and normalized soil index(NDSI)were se-lected as independent variables,and the correlation analysis with SOM content was carried out to screen out the sensitive bands,and the univariate linear regression model and multiple stepwise regression model were constructed respectively,and the SOM content of cultivated land in the basin was inverted.[Result]The spectral reflectance characteristics of soil with SOM contents in Qilu Lake basin had similar trend,and the spectral reflectance of soil had absorption valley at 900,1200,1500 and 2000 nm.The correlation between SOM content and spectral reflectance could be improved by different mathematical transformations of the spectrum,and NDSI and RSI had the best improvement effects.By comparing the ac-curacy of each model,the stepwise regression model constructed with the reflectance RSI had the best fitting effect,its coefficient of determination(R2)was 0.80,and the root mean square error(RMSE)was 6.96,the R2 of the measured and predicted values of the SOM in validation model was 0.82,and the RMSE was 3.65.Using GIS spatial analysis function,the SOM content of cultivated land in Qilu Lake basin was retrieved according to the optimal model,and most of the SOM content was concentrated in 35-45 g/kg,which was at a relatively high level.Moreover,the SOM content of culti-vated land soil in Qilu Lake basin showed a low-high-low distribution from the southwest to the northeast.[Suggestion]Optimizing the extraction of characteristic wavelengths for the variation of SOM content in cultivated land soil can im-prove the accuracy of the prediction model;using the hyperspectral remote sensing data of ZY1E to monitor the nutrients in cultivated land soil can solve the problem of being affected by redundant information in traditional geostatistics,and provide data support for the precise fertilization management of soil,thereby enhancing soil fertility and crop yields.

关键词

ZY1E/高光谱遥感/土壤有机质/预测模型/杞麓湖流域

Key words

ZY1E/hyperspectral remote sensing/soil organic matter/prediction models/Qilu Lake basin

分类

农业科技

引用本文复制引用

吴奇涛,郑毅,李晓琳,侯磊,梁启斌,王艳霞,张成程..基于ZY1E遥感影像的杞麓湖流域耕地土壤有机质含量预测[J].南方农业学报,2025,56(1):64-73,10.

基金项目

云南省农业基础研究联合专项(202101BD070001-111) (202101BD070001-111)

云南省应用基础研究计划项目(202201AT070051) (202201AT070051)

云南省博士后科学基金项目(2022028) Yunnan Agriculture Fundamental Research Joint Special Project(202101BD070001-111) (2022028)

Yun-nan Applied Basic Research Plan Project(202201AT070051) (202201AT070051)

Yunnan Postdoctoral Science Foundation Project(2022028) (2022028)

南方农业学报

OA北大核心

2095-1191

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