A Novel Approach to Automatically Identify Open-Pit Coal Mining Dynamics Based on Temporal Satellite Images

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(6), P. 1029 - 1029

Published: March 15, 2025

Open-pit coal mining drives socioeconomic development but imposes significant environmental impacts. The timely monitoring of dynamics is essential for sustainable resource exploitation and ecological restoration. However, existing studies often rely on predefined boundaries, limiting their applicability in unknown regions. This study proposes an innovative approach that leverages the intra-annual frequency index (ACFI) to identify potential open-pit areas, integrates Rays method monitor temporal changes. By applying a discriminative rule, this effectively distinguishes mines from other disturbances enables spatiotemporal without need prior knowledge locations. Applied Chenbarhu Banner coalfield, Inner Mongolia, achieved 92% accuracy kappa coefficient 0.84 identifying areas. It distinguished active closed mines, detecting key features with 94% (kappa = 0.86). also identified directions extents, such as 4–13° Baorixile mine 69–141° Dongming mine, while excluding non-mining areas high precision. A strong correlation (r 0.929, p < 0.01) between annual area production further validated approach. provides accurate, scalable tools supports decision-making regulatory management processes.

Language: Английский

Microbial keystone taxa and network complexity, rather than diversity, sustain soil multifunctionality along an elevational gradient in a subtropical karst mountain

CATENA, Journal Year: 2025, Volume and Issue: 256, P. 109115 - 109115

Published: May 3, 2025

Language: Английский

Environment disturbances influence bacterial diversity, structure and co-occurrence network in the Digitaria sanguinalis rhizosphere

Physiological and Molecular Plant Pathology, Journal Year: 2025, Volume and Issue: 138, P. 102716 - 102716

Published: May 4, 2025

Language: Английский