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Inversion Studies on the Heavy Metal Content of Farmland Soils Based on Spectroscopic Techniques: A Review

Wenlong Qiu, Ting Tang, Song He, Zeyong Zheng, Jinhong Lv, Guo Jiacheng, Yunfang Zeng, Yifeng Lao, Weibin Wu

2025Agronomy6 citationsDOIOpen Access PDF

Abstract

In recent years, heavy metal pollution in farmland soil has become a crisis due to human activities or natural impacts, with particular emphasis on cases from China, where this issue is prominent, greatly affecting crop production and food safety. In the context of a low heavy metal (HM) content in farmland soil, which is difficult to monitor in real time, effective and rapid monitoring of soil plays a decisive role in subsequent targeted protection measures. To this end, this paper provides a narrative review of the application of spectral sensing technology on the basis of the quantitative inversion of heavy metal content in farmland soil using different platforms (ground, airborne, and spaceborne). The sensing process evaluates the mechanism by which soil produces different weak spectral features from the perspective of the heterogeneity of farmland soil. Different methods used for the quantitative inversion of heavy metals (by studying the correlation between soil heavy metals and organic matter, clay minerals, metal oxides, crop vegetation index, etc.) and their feasibility were clarified. At the same time, relevant research on key technologies used in various processes—such as follow-up pretreatment, spectral feature extraction, and the establishment of inversion models for spectral data of different farmland soil types—was summarized, with a primary focus on cases in China. Finally, the challenges, applications, and research directions related to heavy metal spectral inversion in farmland soil were discussed.

Topics & Concepts

Soil waterInversion (geology)Soil scienceEnvironmental scienceEnvironmental chemistryMetalGeologyMineralogyMaterials scienceChemistryGeomorphologyMetallurgyStructural basinGeochemistry and Geologic MappingHeavy metals in environmentSoil Geostatistics and Mapping