Journal of Remote Sensing & GIS

Ren Hongyan

Publications

• Research Article
  A Feasibility Study of NIR Spectra in Identifying Heavy Metal Contamination in Rice Around Abandoned Tailing Ponds: A Case Study inGuiyang County in South China
  Author(s): Ren Hongyan, Zhuang Dafang, Yang Junxing and Yu Xinfang Ren Hongyan, Zhuang Dafang, Yang Junxing and Yu Xinfang
  
  Protecting people from heavy metal contamination is an important public-health concern and a major national environmental issue in China. The purpose of this study is to explore the feasibility of the near-infrared (NIR) spectral technique in identifying heavy metal concentration (HMC) in coarse rice. 28 rice samples were gathered from the farmlands around four tailing ponds in Guiyang County of south China, and then were sieved by 2.0 mm plastic mesh for the laboratory spectral measurement and the determination of protein, lead (Pb), and copper (Cu). Before constructing the partial least square regression (PLSR) models for predicting HMC, all spectral data were treated by some methods, including, logarithm (Log), baseline correction (BC), standard normal variate (SNV), multiple scatter correction (MSC), first derivates (FD), and continuum removal (C.. View More»
  DOI: 10.4172/2169-0049.1000112

  Abstract PDF