2021
DOI: 10.1016/j.envpol.2020.115845
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VIRS based detection in combination with machine learning for mapping soil pollution

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Cited by 61 publications
(16 citation statements)
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“…The spatial distribution of heavy metal contamination renders high heterogeneity. , For large areas of soil pollution, it is advisable to delineate the level of contamination and design intervention strategies accordingly. When the Cd concentration increases, the cost of phytoextraction increases quickly due to the increased growing season required; in comparison, the cost of chemical stabilization increases more slowly.…”
Section: Resultsmentioning
confidence: 99%
“…The spatial distribution of heavy metal contamination renders high heterogeneity. , For large areas of soil pollution, it is advisable to delineate the level of contamination and design intervention strategies accordingly. When the Cd concentration increases, the cost of phytoextraction increases quickly due to the increased growing season required; in comparison, the cost of chemical stabilization increases more slowly.…”
Section: Resultsmentioning
confidence: 99%
“…In recent decades, with the rapid population growth, economic development, industrialization and urbanization, ecological environment is facing considerable pressure, such as the decline of vegetation coverage [1][2][3], soil pollution [4], air pollution [5,6], urban heat island effect [7,8], ecological environment damage and the reduction of animal and plant habitats [9,10]. A series of ecological environment changes have attracted wide attention from government and academic.…”
Section: Introductionmentioning
confidence: 99%
“…Commonly, the measurement of soil Cd concentration requires field sampling campaign, followed by laboratory chemical analysis. This approach faces challenges of being labor-intensive, time-consuming, environmentally unfriendly, and high expertise demanding, which do not allow meeting the needs for rapid measurement and high density sampling for soil Cd (Jia et al, 2021; J o u r n a l P r e -p r o o f 4 Lassalle et al, 2020;Meng et al, 2020;Tan et al, 2020). Proximal soil sensing techniques like visible-to-near-infrared (Vis-NIR) spectroscopy for estimating PTEs have attracted the attention of researchers, mainly because of the advantages of its less sample preparation and rapid characterization (Cheng et al, 2019;Gholizadeh et al, 2018;Lassalle et al, 2020;Ng et al, 2020;Sawut et al, 2018;Shi et al, 2014;Shi et al, 2017;Sun and Zhang, 2017;Todorova et al, 2014;Wang et al, 2018;Wang et al, 2014;Zhang et al, 2019b).…”
Section: Introductionmentioning
confidence: 99%