Literature DB >> 24361494

Visible and near-infrared reflectance spectroscopy-an alternative for monitoring soil contamination by heavy metals.

Tiezhu Shi1, Yiyun Chen1, Yaolin Liu1, Guofeng Wu2.   

Abstract

Soil contamination by heavy metals is an increasingly important problem worldwide. Quick and reliable access to heavy metal concentration data is crucial for soil monitoring and remediation. Visible and near-infrared reflectance spectroscopy, which is known as a noninvasive, cost-effective, and environmentally friendly technique, has potential for the simultaneous estimation of the various heavy metal concentrations in soil. Moreover, it provides a valid alternative method for the estimation of heavy metal concentrations over large areas and long periods of time. This paper reviews the state of the art and presents the mechanisms, data, and methods for the estimation of heavy metal concentrations by the use of visible and near-infrared reflectance spectroscopy. The challenges facing the application of hyperspectral images in mapping soil contamination over large areas are also discussed.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Calibration method; Hyperspectral image; Modeling strategy; Pre-processing method; Spectral index; Variable selection method

Mesh:

Substances:

Year:  2013        PMID: 24361494     DOI: 10.1016/j.jhazmat.2013.11.059

Source DB:  PubMed          Journal:  J Hazard Mater        ISSN: 0304-3894            Impact factor:   10.588


  20 in total

1.  Assessment of spatial distribution of soil heavy metals using ANN-GA, MSLR and satellite imagery.

Authors:  Arman Naderi; Mohammad Amir Delavar; Babak Kaboudin; Mohammad Sadegh Askari
Journal:  Environ Monit Assess       Date:  2017-04-13       Impact factor: 2.513

2.  Estimating soil heavy metals concentration at large scale using visible and near-infrared reflectance spectroscopy.

Authors:  Golayeh Yousefi; Mehdi Homaee; Ali Akbar Norouzi
Journal:  Environ Monit Assess       Date:  2018-08-13       Impact factor: 2.513

3.  Analysis of visible and near infrared spectral reflectance for assessing metals in soil.

Authors:  Paresh H Rathod; Ingo Müller; Freek D Van der Meer; Boudewijn de Smeth
Journal:  Environ Monit Assess       Date:  2016-09-10       Impact factor: 2.513

4.  Concentration estimation of heavy metal in soils from typical sewage irrigation area of Shandong Province, China using reflectance spectroscopy.

Authors:  Fei Wang; Chunfang Li; Jining Wang; Wentao Cao; Quanyuan Wu
Journal:  Environ Sci Pollut Res Int       Date:  2017-06-01       Impact factor: 4.223

5.  Prediction of cadmium concentration in brown rice before harvest by hyperspectral remote sensing.

Authors:  Weihong Zhou; Jingjing Zhang; Mengmeng Zou; Xiaoqing Liu; Xiaolong Du; Qian Wang; Yangyang Liu; Ying Liu; Jianlong Li
Journal:  Environ Sci Pollut Res Int       Date:  2018-11-20       Impact factor: 4.223

6.  Desert soil clay content estimation using reflectance spectroscopy preprocessed by fractional derivative.

Authors:  Jingzhe Wang; Tashpolat Tiyip; Jianli Ding; Dong Zhang; Wei Liu; Fei Wang; Nigara Tashpolat
Journal:  PLoS One       Date:  2017-09-21       Impact factor: 3.240

7.  Spectroscopic Diagnosis of Arsenic Contamination in Agricultural Soils.

Authors:  Tiezhu Shi; Huizeng Liu; Yiyun Chen; Teng Fei; Junjie Wang; Guofeng Wu
Journal:  Sensors (Basel)       Date:  2017-05-04       Impact factor: 3.576

8.  Ecological risk assessment on heavy metals in soils: Use of soil diffuse reflectance mid-infrared Fourier-transform spectroscopy.

Authors:  Cheng Wang; Wei Li; Mingxing Guo; Junfeng Ji
Journal:  Sci Rep       Date:  2017-02-13       Impact factor: 4.379

9.  Spectral Estimation Model Construction of Heavy Metals in Mining Reclamation Areas.

Authors:  Jihong Dong; Wenting Dai; Jiren Xu; Songnian Li
Journal:  Int J Environ Res Public Health       Date:  2016-06-28       Impact factor: 3.390

10.  Comparison of Portable and Bench-Top Spectrometers for Mid-Infrared Diffuse Reflectance Measurements of Soils.

Authors:  Christopher Hutengs; Bernard Ludwig; András Jung; Andreas Eisele; Michael Vohland
Journal:  Sensors (Basel)       Date:  2018-03-27       Impact factor: 3.576

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