Remote sensing
A recent study conducted by the Sapienza University of Rome has successfully applied LiDAR (Light Detection and Ranging) technology to investigate medieval castle settlements in a hilly site covered by vegetation. This innovative approach enhances the visibility and interpretation of archaeological features by utilizing filtering, classification, and visualization algorithms. The
Remote sensing
Scientists at the NASA Goddard Space Flight Center have developed a novel algorithm, MAIAC, that enables the simultaneous retrieval of aerosol optical depth, spectral absorption, and layer height (ALH) from DSCOVR EPIC observations in the UV-Vis-NIR spectral range. This breakthrough has significant implications for Earth system modeling and air quality
Remote sensing
Cities and countries worldwide rely heavily on groundwater for their daily needs, with 80% of the largest cities in the Middle East, South Asia, and Central Asia drawing on this resource for drinking, irrigation, and industrial uses. However, the increasing threat of climate change poses significant risks to groundwater quality,
Remote sensing
Researchers at Wuhan University have published a study on the development of a novel deep learning-based method for semantic change detection (SCD) in remote sensing images. The Joint Content-Aware and Difference-Transform Lightweight Network (CDLNet) was designed to overcome the limitations of existing SCD methods, which struggle with lightweight design and
Remote sensing
Researchers from Dalian Maritime University have proposed a novel knowledge distillation framework, Hierarchical Feature Mining and Multivariate Head Collaboration (HMKD), designed to enhance lightweight model performance in remote sensing applications. The framework involves two key modules: Low-Level Feature Distillation for Distributed Information Mining (LFDIM) and High-Level Feature Distillation for Extraction
Remote sensing
Researchers from Phenikaa University have conducted a comprehensive survey of regression loss functions used in rotated object detection (ROD), a crucial technology for various applications, including remote sensing, self-driving systems, and smart city monitoring. The study categorized the loss functions into three approaches: coordinate-based, approximated rotated IoU-based, and Gaussian-based, and
Remote sensing
Researchers at Beijing Forestry University have conducted a study using machine learning and remote sensing to analyze deforestation and fragmentation dynamics in Pakistan's semi-arid regions between 2001 and 2021. The research found that deforestation and forest degradation in these regions drive critical environmental challenges. The study used multi-source
Remote sensing
China has successfully launched the Yaogan-46 satellite using a Long March-7A carrier rocket from the Wenchang Space Launch Site on November 3, 2025. The satellite, developed by the Fifth Academy of China Aerospace Science and Technology Corporation, is designed for disaster prevention and mitigation, land and resources surveying, and water
Remote sensing
The situation in Darfur, Sudan has reached catastrophic levels, with reports of atrocities, mass executions, starvation, and widespread rape. The Rapid Support Forces (RSF) have captured the city of el-Fasher after an 18-month siege, leading to thousands of victims. The Yale University Humanitarian Research Lab describes the situation as a
Remote sensing
New research from the University of Salerno has explored the vital role of forests in regulating climate, conserving biodiversity, and supporting the livelihoods of billions of people worldwide. The study utilized digital technologies, including satellites, drones, and sensors, to gather vast amounts of environmental data. However, integrating and interpreting this
Technical institutes
High-resolution architectural documentation of historical buildings requires an in-depth understanding of their structure, materials, and historical layers, according to researchers from Polytechnic University Milan. A recent study implements a stone-by-stone segmentation approach using SAM2 to document the gothic complex of Milan Cathedral, leveraging object detectors for semantic interpretation. The research
Technical institutes
Researchers at Czech Technical University Prague have explored the integration of modern visualization technologies, specifically virtual reality (VR) and augmented reality (AR), into the documentation and presentation of cultural heritage. The study used the Old Town Bridge Tower in Prague as a case study and demonstrated a complete digital workflow
