Quantitative remote sensing inversion of elements in soils: Advances in research and future prospects

ZHANG Surong; WANG Daming; YANG Junquan; ZHANG Jing; WANG Jianhua; ZHANG Donghui; TONG Yunxiao; JIN Zhibin; CHEN Donglei

doi:10.12029/gc20231011002

2024 Vol. 51, No. 5

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Article navigation > Geology in China > 2024 > 51(5): 1664-1675

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ZHANG Surong, WANG Daming, YANG Junquan, ZHANG Jing, WANG Jianhua, ZHANG Donghui, TONG Yunxiao, JIN Zhibin, CHEN Donglei. 2024. Quantitative remote sensing inversion of elements in soils: Advances in research and future prospects[J]. Geology in China, 51(5): 1664-1675. doi: 10.12029/gc20231011002

Citation:

ZHANG Surong, WANG Daming, YANG Junquan, ZHANG Jing, WANG Jianhua, ZHANG Donghui, TONG Yunxiao, JIN Zhibin, CHEN Donglei. 2024. Quantitative remote sensing inversion of elements in soils: Advances in research and future prospects[J]. Geology in China, 51(5): 1664-1675. doi: 10.12029/gc20231011002

Quantitative remote sensing inversion of elements in soils: Advances in research and future prospects

1.
Tianjin Centre (North China Center for Geoscience Innovation), China Geological Survey, Tianjin 300170, China
2.
Tianjin Key Laboratory of Coast Geological Processes and Environmental Safety, Tianjin 300170, China
3.
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
4.
Institute of Remote Sensing Satellite, China Academy of Space Technology, Beijing 100095, China
5.
Shanxi Geophysical and Chemical Exploration Institute Co., Ltd., Yuncheng 044004, Shanxi, China

Fund Project: Supported by the National Natural Science Foundation of China (No. 42272346) and the project of China Geological Survey (No.DD20230101).

More Information

Author Bio: ZHANG Surong, female, born in 1981, master, professor level senior engineer, engaged in research on ecological geochemistry and remote sensing applications; E-mail: zhangsurong@126.com
Corresponding author: YANG Junquan, male, born in 1980, doctor, professor level senior engineer, engaged in scientific research and production of natural resource survey and monitoring, remote sensing application, and geological and mineral survey; E-mail: dap-yangjunquan@163.com.

Received Date: 11 October 2023

Revised Date: 23 November 2023

Publish Date: 25 September 2024

Abstract

Abstract

This paper is the result of agricultural geological survey engineering.
Objective
Soil quality is closely related to human activities. Given that traditional methods fall short in achieving the large−scale dynamic monitoring of soil quality, the quantitative inversion of elements in soils using hyperspectral remote sensing, which proves macroscopic, real−time, in−situ, and fast, has emerged as a hot topic and challenge in the field of remote sensing application.
Methods
This paper explores three methods for quantitative remote sensing inversion of elements in soils: direct quantitative inversion, indirect quantitative inversion using correlations among the elements, and quantitative inversion based on plant spectra. Specifically, this paper systematically summarizes the primary principles, advantages, and current research status of these methods and proposes future trends in relevant fields from the perspective of interdisciplinary integration.
Results
The commonly used methods for the quantitative inversion of elements in soils face challenges when applied on a large scale. Among these, the indirect inversion based on the spectra of plant leaves or canopies is considered the most reliable. Achievements in ecological geochemistry enable the identification of the unique spectral effects of target elements in different plants, which assists in determining the principle of the plant spectrum−based quantitative inversion of elements in soils.
Conclusions
More in−depth research based on big data mining and the physicochemical properties of soils while promoting interdisciplinary integration represents a favorable direction for achieving breakthroughs in wide−area monitoring technology for elements in soils.
- element in soil /
- nutrient deficiency response of plant /
- ecological geochemistry /
- big data /
- agricultural quantitative remote sensing inversion /
- agricultural geological survey engineering

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References

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