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 »
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 »
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 »
Amid rising aviation emissions, researchers have crafted machine learning models that refine fuel consumption predictions during aircraft taxiing.
aircraft fuel consumption during taxiing Read More »
This study examines UAV-based LiDAR technology for measuring crop characteristics such as canopy height and leaf area index under day and night conditions.
Crop Measurement with UAV LiDAR Read More »
Researchers from Delft University have developed a machine learning framework using drought spatial extent to enhance crop yield predictions.
Crop Predictions with Drought Data Read More »
Researchers have developed an AI-driven Hydrogen Decision Support Model (H2-DSM) to optimize Run-of-River hydropower plants, enhancing economic and environmental sustainability.
AI-Driven Hydropower for Sustainability Read More »
Researchers have integrated mobile lidar technology and open-source tools to automate urban tree inventories. This approach enhances efficiency and affordability in mapping and measuring urban trees, which is crucial for environmental planning and ecosystem service assessment, offering significant benefits for city planning and management.
Tree Inventories with Mobile Lidar Read More »
