Innovation

In a significant advancement for the construction and mining industries, researchers have unveiled a groundbreaking method for extracting open-pit mining areas using deep learning techniques. Led by Qinghua Qiao from the Natural Resources Survey and

In the realm of construction and infrastructure development, few threats loom as large as the risk of landslides, particularly in loess-dominated regions. A recent study conducted by J. Zhuang from the College of Geological Engineering and Geomatics

In an era where rapid urbanization and environmental changes are increasingly prevalent, understanding the dynamics of land cover alterations has never been more crucial. A recent study led by Minhwa Kim from the Energy and Mineral Resources Engineer

In a groundbreaking study published in the journal ‘Sensors’, researchers have unveiled critical insights into the ground deformation processes affecting Laiwu, a prominent steel production hub in Shandong Province, China. This research, led by Chao

The search for gold in Egypt’s Central Eastern Desert has taken a significant leap forward, thanks to a groundbreaking study led by Sobhi M. Ghoneim from the Department of Surveying and Remote Sensing at Central South University. This research, publi

A recent study published in ‘Environmental Research Communications’ sheds light on the long-term environmental impacts of open-pit mining in Kazreti, Georgia, revealing significant changes to topography, hydrology, and vegetation health over the past

Recent research conducted on the Tibetan Plateau (TP) reveals that land surface temperature (LST) may have a more significant impact on vegetation phenology than previously understood, particularly in the context of climate change. The study, led by

In a groundbreaking study published in ‘Remote Sensing,’ researchers have unveiled advanced techniques for detecting skarn iron ore deposits that could significantly impact the construction sector. By leveraging multispectral image fusion and the inn

As urbanization accelerates across the globe, particularly in low-to-middle-income countries, the challenges of air quality in informal settlements have become increasingly pressing. A recent study conducted by Ryan W. Hirst from the School of Engine

In a groundbreaking study published in ‘Engineering Proceedings’, researchers have harnessed the capabilities of satellite imagery and machine learning to revolutionize crop classification in Krishna District, Andhra Pradesh. This innovative approach