1. An Approach to Large-Scale Cement Plant Detection Using Multisource Remote Sensing Imagery.
- Author
-
Li, Tianzhu, Ma, Caihong, Lv, Yongze, Liao, Ruilin, Yang, Jin, and Liu, Jianbo
- Subjects
CEMENT plants ,GREENHOUSE gases ,CARBON emissions ,CEMENT industries ,REMOTE sensing ,ENVIRONMENTAL protection - Abstract
The cement industry, as one of the primary contributors to global greenhouse gas emissions, accounts for 7% of the world's carbon dioxide emissions. There is an urgent need to establish a rapid method for detecting cement plants to facilitate effective monitoring. In this study, a comprehensive method based on YOLOv5-IEG and the Thermal Signature Detection module using Google Earth optical imagery and SDGSAT-1 thermal infrared imagery was proposed to detect large-scale cement plant information, including geographic location and operational status. The improved algorithm demonstrated an increase of 4.8% in accuracy and a 7.7% improvement in MAP@.5:95. In a specific empirical investigation in China, we successfully detected 781 large-scale cement plants with an accuracy of 90.8%. Specifically, of the 55 cement plants in Shandong Province, we identified 46 as operational and nine as non-operational. The successful application of advanced models and remote sensing technology in efficiently and accurately tracking the operational status of cement plants provides crucial support for environmental protection and sustainable development. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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