Exploring correlations between hyper-spectral signatures acquired in the laboratory and in-situ observation for heavy metal concentrations in soil

• Published in: Spatial information research (Online) Vol. 26; no. 5; pp. 497 - 505
• Main Authors: Lee, Keum Young, Kang, Seongjoo, Jeon, Eui-Ik, Yu, Sejong, Kwon, Ohseob
• Format: Journal Article
• Language: English
• Published: Singapore Springer Singapore 01.10.2018; 대한공간정보학회
• Subjects: Database Management; Earth and Environmental Science; Geographical Information Systems/Cartography; Geography; Remote Sensing/Photogrammetry; 공학일반; Hyperspectral sensor; Correlation analysis; Heavy metals; Monitoring; Soil contamination
• ISSN: 2366-3286; 2366-3294
• DOI: 10.1007/s41324-018-0192-0

This study is a preliminary study for monitoring of heavy metal pollution in soil using airborne hyperspectral sensor. This paper presents an approach to exploring the correlation between the spectrum of heavy metals in soil from hyperspectral imagery taken in the laboratory and its observed concentration. In order to identify spectral wavelengths with a high correlation coefficient, hyperspectral data were collected from soil containing various concentrations (10–5000 ppm) of As, Cd, Cu, and Pb. Correlation analysis was performed with the hyperspectral imagery between the spectrum and its observed concentration obtained from instrumental analysis. The selective spectral wavelengths with a correlation coefficient (R 2 ) above 0.80 will make a major contribution to study and monitoring of heavy metal pollution in soil using airborne hyperspectral sensor in the future. In order to accomplish desired result, further investigation is required.