EventsInternational Conference on Advanced Remote Sensing (ICARS 2025)
Published
This submission belongs to the session S1. Hyperspectral Remote Sensing and Imaging Spectroscopy of the event International Conference on Advanced Remote Sensing (ICARS 2025)
Published date
25 Mar, 2025
Academic Editor
author-avatarFabio Tosti
Citation
Shengjie Ma, Shilong Xu, Yuhao Xia, Wanying Ding, Remote Laser-induced Breakdown Spectroscopy Scanning Imaging for Mineral Element Identification, in Proceedings of International Conference on Advanced Remote Sensing (ICARS 2025), Barcelona, 26 March–28 March 2025, MDPI: Basel, Switzerland
Share
Email
Facebook
Twitter
LinkedIn

Remote Laser-induced Breakdown Spectroscopy Scanning Imaging for Mineral Element Identification

1. National University of Defense Technology, China
Abstract

With the ever-increasing demand for efficient and accurate detection technology in the fields of mineral exploration and mining, the remote Laser-induced Breakdown Spectroscopy (LIBS) scanning imaging technology has demonstrated unique advantages and broad application prospects in the identification of ore types. Traditional analytical methods usually require a large amount of manpower, material resources, and time, and it is difficult to conduct rapid and comprehensive surveys of large areas. The remote LIBS technology can break through this limitation. By emitting high-energy laser beams, it can stimulate the surface of ores at a distance of several meters or even dozens of meters, causing the atoms or ions in the ores to undergo energy-level transitions and generate plasma emission spectra. By using spectrometers to collect and analyze these emission spectra, the characteristic spectral line information of various elements in the ores can be obtained, thus determining the composition of the ores. Moreover, by scanning the ores, the spectral data at different positions can also be collected to achieve scanning imaging of the ore elements, and then obtain the concentration distribution information of the sample elements, which provides a more intuitive, comprehensive, and accurate basis for the identification and evaluation of ores, and fervently encourages the mineral industry to forge ahead in the direction of intelligence and high efficiency.

Keywords
Remote LIBS
Scanning Imaging
Mineral Element Identification
Imaging Spectroscopy
Testing the potentialities of SAOCOM L-band data for retrieving superficial soil moisture at the field scale
Preliminary Analysis of PRISMA Imagery for Agricultural Drought Assessment in Italy