Study on Hyperspectral Characteristics and Content Estimation of Soil Iron Oxide

3rd International Symposium on Resource Exploration and Environmental Science

生态环境科学

Liu, Jinbao^1^2^3^4 ; Sun, Zenghui^1^2^3^4

Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an

710075, China^1

Key Laboratory of Degraded and Unused Land Consolidation Engineering, Ministry of Land and Resources, Xi'an

710075, China^2

Shaanxi Provincial Land Engineering Construction Group, Xi'an, Shaanxi

710075, China^3

Shaanxi Key Laboratory of Land Consolidation, Xi'an, Shaanxi

710075, China^4

关键词: Amorphous iron oxides;    Diagnostic indicators;    Hyper-spectral characteristics;    Hyperspectral instrument;    Hyperspectral remote sensing technology;    Quantitative estimation;    Real time monitoring;    Soil physical and chemical properties;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/300/2/022147/pdf
DOI  :  10.1088/1755-1315/300/2/022147

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

The iron oxide in the soil comes from the re-deposition of the weathering products of the parent material. It can be divided into free iron oxide (Fed) and amorphous iron oxide (FeO) according to chemical methods. The content of iron oxide in soil can be used as the soil type in soil system classification. Diagnostic indicators are considered to be a function of soil development and development. Although the traditional method for measuring iron oxide in soil has high precision, it is time-consuming and laborious, and it is impossible to obtain real-time monitoring data of soil physical and chemical properties in time. Hyperspectral remote sensing technology can quickly obtain the spectral information of soil by using hyperspectral instrument, combine the chemical data measured indoors with the physical model to establish the relationship between soil properties, realize the quantitative estimation of soil information, and have the tradition of rapid and current situation. The unparalleled advantages of soil iron oxide measurement methods provide broad application prospects for understanding soil iron oxide spectral information and its content prediction.