Publications

Feng, SM; Zhang, J (2025). Quantitative inversion of integrated hyperspectral and optical remote sensing images to monitor dust distribution in open pit mines. ALL EARTH, 37(1), 1-13.

Abstract
Mining coal resources leads to significant dust pollution, and the aerosol optical depth (AOD) obtained through aerosol remote sensing inversion serves as an important indicator of this pollution. By integrating hyperspectral remote sensing data from the Chinese ZY1-02E satellite integrated with conventional optical satellite data, we analysed aerosol content and the distribution of dust sources in the Pingshuo mining area. This was achieved by inverting AOD using the 6S radiative transfer model and Dense Dark Vegetation and V5.2 algorithm. The results indicate that: (1) AOD obtained by inversion using V5.2 algorithm is more suitable for the Pingshuo mining area.(2)AOD distribution from different periods demonstrates spatial consistency, showing higher values in waste dumps, roads and town buildings, while lower values are found in open pit mine, vegetation and water.(3)Dust sources are primarily concentrated in areas with higher AOD values, such as waste dumps, roads, town buildings, where dust pollution is more severe. The ZY1-02E satellite demonstrates high feasibility and accuracy in AOD inversion, and the results obtained effectively illustrate the spatial distribution of dust pollution. This highlights the potential for aerosol remote sensing inversion using hyperspectral satellite data, providing effective means for regional dust monitoring, and a scientific basis for subsequent development of dust reduction measures.

DOI:
10.1080/27669645.2025.2468101

ISSN:
2766-9645