Measurement of sulfur content in coal mining areas by using field-remote sensing data and an integrated deep learning model.

ABSTRACT: High-quality coal emits a smaller amount of harmful substances during the combustion process, which greatly reduces the environmental hazard. The sulfur content of coal is one of the important indicators that determine coal quality. The world's demand for high-quality coal is increasing. This is challenging for the coal mining industry. Therefore, how to quickly determine the sulfur content of coal in coal mining areas has always been a research difficulty. This study is the first to map the distribution of sulfur content in opencast coal mines using field-remote sensing data, and propose a novel method for evaluating coal mine composition. We collected remote sensing, field visible and near-infrared (Vis-NIR) spectroscopy data and built analytical models based on a tiny neural network bas

SUBMITTER: Liu J 

PROVIDER: S-EPMC11622992 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature