Abstract: Currently,China′s mining industry is transitioning from its previous stages of mechanization and digitalization
to that of intelligence. As a key component of spatio-temporal intelligence,remote sensing plays a crucial role in the construction
of smart mines. During this process,the academic community has introduced various terms such as mine remote sensing,
mining area environment remote sensing,mining-related geological disaster remote sensing,and mine ecological environment remote
sensing,etc. However,the connotation and extension of these terms have not received sufficient attention,hindering the
application and development of remote sensing technology in the mining industry. To address this issue,this paper proposes the
connotation of mine remote sensing based on an analysis of mine characteristics and the series of changes and issues arising
from resource development. It is defined that mine remote sensing involves the detection and monitoring of mine constituent elements
and the problems or phenomena caused by mine production processes using space-air-ground-underground remote sensing
technology. This primarily includes the mine resource remote sensing,mine environment remote sensing,and mining-related
disaster remote sensing,supporting the green and sustainable development of mines. Specifically,mine resource remote sensing refers to the use of remote sensing technology for mine rock and mineral identification,ore grade inversion,orebody delineation,
mineral resource estimation and detection of resource changes,etc. Mine environment remote sensing involves the monitoring of
mine environmental elements,including changes in land cover types,surface water pollution monitoring,soil (tailings pond)
moisture monitoring,and heavy metal pollution monitoring,etc. Mining-related disaster remote sensing pertains to the detection
and monitoring of various mine disasters,including mine landslides,collapses,ground fissures,mining subsidence,and tailings
dam failures,etc. Subsequently,the extension of mine remote sensing is defined,and the difference and connection between
mine remote sensing and mining area remote sensing are analyzed. Based on this,combined with the team′s scientific research
practices,some key technologies in mine remote sensing are introduced. These include the rock and mineral spectral intelligent
perception technology for mine resource remote sensing,the multi-source collaborative landslide monitoring technology for minerelated
disaster remote sensing,and the multi-band hyperspectral joint analysis technology for mining area environment remote
sensing. Typical applications of these key technologies are also provided. Finally,the challenges facing the development of the
three key technologies are analyzed and the future development direction is envisioned. It is believed that the challenges at this
stage lie in the development of rock and ore spectral identification models adapted to the geological characteristics of different
mines,disaster early warning models adapted to different types of landslides,and remote sensing monitoring technologies suitable
for the multifactorial,multi-attribute and multi-scale characteristics of the mining area environment,so as to ensure the effectiveness
and feasibility of mine remote sensing. In the "15th Five-Year Plan" and even for a longer period of time,the development
of this field needs to focus on the development of multi-platform,multi-modal and multi-frequency remote sensing
technology in the space-air-ground-underground,so as to realize the integration and synergistic innovation of multi-source remote
sensing technology and to better serve the green and intelligent development of mines.