Estimation of Heavy Metal(Loid) Contents in Agricultural Soil of the Suzi River Basin Using Optimal Spectral Indices

For agricultural production and food safety, it is important to accurately and extensively estimate the heavy metal(loid) pollution contents in farmland soil. Remote sensing technology provides a feasible method for the rapid determination of heavy metal(loid) contents. In this study, the contents o...

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Autores principales:	Cheng Han, Jilong Lu, Shengbo Chen, Xitong Xu, Zibo Wang, Zheng Pei, Yu Zhang, Fengxuan Li
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	optimal spectral indices spectral transformation partial least-squares regression (PLSR) multiple linear regression (MLR) random forest regression (RFR) adaptive neuro-fuzzy inference system (ANFIS) Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/26de608dff3143bdbb33603770d595d6
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Estimation of Heavy Metal(Loid) Contents in Agricultural Soil of the Suzi River Basin Using Optimal Spectral Indices

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