Inversion Studies on the Heavy Metal Content of Farmland Soils Based on Spectroscopic Techniques: A Review
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...
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MDPI AG
2025-07-01
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author | Wenlong Qiu Ting Tang Song He Zeyong Zheng Jinhong Lv Jiacheng Guo Yunfang Zeng Yifeng Lao Weibin Wu |
author_facet | Wenlong Qiu Ting Tang Song He Zeyong Zheng Jinhong Lv Jiacheng Guo Yunfang Zeng Yifeng Lao Weibin Wu |
author_sort | Wenlong Qiu |
collection | DOAJ |
description | 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. |
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issn | 2073-4395 |
language | English |
publishDate | 2025-07-01 |
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spelling | doaj-art-a50aabbc897b48d39a82afb86b0f37a12025-07-25T13:10:08ZengMDPI AGAgronomy2073-43952025-07-01157167810.3390/agronomy15071678Inversion Studies on the Heavy Metal Content of Farmland Soils Based on Spectroscopic Techniques: A ReviewWenlong Qiu0Ting Tang1Song He2Zeyong Zheng3Jinhong Lv4Jiacheng Guo5Yunfang Zeng6Yifeng Lao7Weibin Wu8College of Engineering, South China Agricultural University, Guangzhou 510642, ChinaCollege of Engineering, South China Agricultural University, Guangzhou 510642, ChinaCollege of Engineering, South China Agricultural University, Guangzhou 510642, ChinaCollege of Engineering, South China Agricultural University, Guangzhou 510642, ChinaCollege of Engineering, South China Agricultural University, Guangzhou 510642, ChinaCollege of Engineering, South China Agricultural University, Guangzhou 510642, ChinaCollege of Engineering, South China Agricultural University, Guangzhou 510642, ChinaCollege of Engineering, South China Agricultural University, Guangzhou 510642, ChinaCollege of Engineering, South China Agricultural University, Guangzhou 510642, ChinaIn 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.https://www.mdpi.com/2073-4395/15/7/1678heavy metalsfarmland soilspectroscopyVNIR-SWIR |
spellingShingle | Wenlong Qiu Ting Tang Song He Zeyong Zheng Jinhong Lv Jiacheng Guo Yunfang Zeng Yifeng Lao Weibin Wu Inversion Studies on the Heavy Metal Content of Farmland Soils Based on Spectroscopic Techniques: A Review Agronomy heavy metals farmland soil spectroscopy VNIR-SWIR |
title | Inversion Studies on the Heavy Metal Content of Farmland Soils Based on Spectroscopic Techniques: A Review |
title_full | Inversion Studies on the Heavy Metal Content of Farmland Soils Based on Spectroscopic Techniques: A Review |
title_fullStr | Inversion Studies on the Heavy Metal Content of Farmland Soils Based on Spectroscopic Techniques: A Review |
title_full_unstemmed | Inversion Studies on the Heavy Metal Content of Farmland Soils Based on Spectroscopic Techniques: A Review |
title_short | Inversion Studies on the Heavy Metal Content of Farmland Soils Based on Spectroscopic Techniques: A Review |
title_sort | inversion studies on the heavy metal content of farmland soils based on spectroscopic techniques a review |
topic | heavy metals farmland soil spectroscopy VNIR-SWIR |
url | https://www.mdpi.com/2073-4395/15/7/1678 |
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