Spectral characteristics of the correlation between elemental arsenic and vegetation stress in the Yueliangbao gold mining.

Lin, Weihua; Tu, Yiwen; Liu, Fujiang; Guo, Yan; Wang, Xianbin; Su, Junshun

Lin, Weihua; Tu, Yiwen; Liu, Fujiang; Guo, Yan; Wang, Xianbin; Su, Junshun.

Affiliation

Lin W; School of Geography and Information Engineering, China University of Geosciences, Wuhan, 430074, China.
Tu Y; School of Geography and Information Engineering, China University of Geosciences, Wuhan, 430074, China.
Liu F; School of Geography and Information Engineering, China University of Geosciences, Wuhan, 430074, China. liufujiang@cug.edu.cn.
Guo Y; School of Computer Science, China University of Geosciences, Wuhan, 430074, China.
Wang X; Piesat Information Technology Co., Ltd, Wuhan, 430070, China.
Su J; Xining Natural Resources Integrated Survey Center, China Geological Survey, Xining, 810000, China.

Environ Geochem Health ; 45(11): 8203-8219, 2023 Nov.

Article in En | MEDLINE | ID: mdl-37555879

Subject(s)

Arsenic; Metals, Heavy; Soil Pollutants; Arsenic/toxicity; Arsenic/analysis; Gold/analysis; Soil Pollutants/toxicity; Soil Pollutants/analysis; Metals, Heavy/toxicity; Metals, Heavy/analysis; Mining; Poaceae; Soil; Environmental Monitoring/methods; China

Key words

Characteristic bands; Heavy metal pollution; Partial least-square method; Spectral characteristics; Vegetation index

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Arsenic / Soil Pollutants / Metals, Heavy Type of study: Prognostic_studies Country/Region as subject: Asia Language: En Journal: Environ Geochem Health Journal subject: QUIMICA / SAUDE AMBIENTAL Year: 2023 Document type: Article Affiliation country: China Country of publication: Netherlands

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