This study examines how forest vegetation density influences GNSS navigation accuracy for off-road vehicles, improving solutions for forestry and autonomous vehicles.
GNSS Navigation Accuracy in Dense Forests Read More »
Researchers have developed a composite index to assess regional digitalization in Europe, incorporating spatial heterogeneity and dependence.
Assessing Regional Digitalization in Europe Read More »
The Perito Moreno Glacier, once noted for its stability, is now rapidly changing. Researchers used remote sensing and mass balance equations to measure its ablation rate, uncovering significant ice loss due to warming and droughts, signaling a vital shift in glacier dynamics.
Perito Moreno Glacier’s Rapid Change: A Climate Warning Read More »
This research presents a hidden Markov model framework that identifies animal activity modes and movement phases, offering a nuanced approach to ecological inference and wildlife conservation.
insight to Animal Behavior with Markov Models Read More »
This study utilizes LiDAR technology to improve understanding of habitat selection in large mammals, complementing traditional ecoforest maps.
Wildlife Habitat Understanding with LiDAR Read More »
Regenerative wind farms with MRSLs nearly double efficiency, transforming renewable energy landscapes and reducing costs.
The Rise of Regenerative Wind Farms Read More »
Researchers improved marine geoid models by refining shipborne gravity data around Egypt, enhancing precision in shallow water and coastal regions.
Shipborne Gravity Data Read More »
The RRDPM model improves digital elevation model resolution, enhancing detail recovery for land and seabed regions for scientific applications.
DEM Resolution with RRDPM Read More »
A multidisciplinary model integrates geomatics and urban planning to protect Fiumefreddo Bruzio’s cultural heritage from seismic threats.
Seismic Risk in Italy’s Historic Centers Read More »
Researchers have developed a deep learning-based methodology for detecting and evaluating pavement surface damage. This approach enhances road safety and maintenance strategies by providing accurate, scalable, and objective assessments of pavement conditions.
Deep Learning for Pavement Damage Detection Read More »
