Frequent Glacial Hazard Deformation Detection Based on POT-SBAS InSAR in the Sedongpu Basin in the Himalayan Region by Haoliang Li, Yinghui Yang, Xiujun Dong, Qiang Xu, Pengfei Li, Jingjing Zhao, Qiang Chen, Jyr-Ching Hu

“…To accurately monitor and research these glacier hazards, Sentinel-1 Synthetic Aperture Radar images observed between 2014 and 2022 were collected to extract surface motion using SBAS-POT technology. …”
Get full text

Advanced characterization of deforestation frontiers in Nigeria utilizing deep learning and Bayesian approaches with sentinel-1 SAR imagery by Isiaka Lukman Alage, Yumin Tan, Ahmed Wasiu Akande, Agus Suprijanto

“…Addressing these challenges, we propose an innovative approach that integrates spatial and temporal features for biannual deforestation mapping using synthetic aperture radar data in hotspots, study site 1 (Akure) and study site 2 (Okomu) forest reserve (First and second halves of 2020, 2021, 2022, and 2023). …”
Get full text

Deep Reinforcemnet Learning for Robust Beamforming in Integrated Sensing, Communication and Power Transmission Systems by Chenfei Xie, Yue Xiu, Songjie Yang, Qilong Miao, Lu Chen, Yong Gao, Zhongpei Zhang

“…To achieve optimal beamforming in transmission, it is crucial to satisfy multiple constraints, including quality of service (QoS), radar sensing accuracy, and power transfer efficiency, while ensuring fundamental system performance. …”
Get full text

Shoulder Rotation Range of Motion and Serve Speed in Adolescent Male Volleyball Athletes: A Cross-Sectional Study by Rafael Telles, Ronaldo Alves Cunha, André Lima Yoshimura, Alberto Castro Pochini, Benno Ejnisman, Renato Rozenblit Soliaman

“… # Methods Fifty-seven male volleyball athletes (mean age 17.11 ± 1.88 y; weight 74.68 ± 9.7 kg; height 1.87 ± 0.09 cm) were evaluated for shoulder IR and ER with a bubble goniometer and serve speed inside and outside court was measured with a radar gun. Simple and multiple regression analyses were applied to investigate associations of ROM, anthropometrics, and competitive practice time with serve speed…”
Get full text

Quality Evaluation of Bioactive Ingredients in Lianhua Qingwen Capsule Based on Quantitative Analysis of Multicomponent by the Single Marker Method and the Chemical Recognition Pat... by Qianqian Zhou, Lin Yang, Yiwu Wang, Jiajia Zou, Shuya Li, Lei Dai, Yan Li, Dan He

“…Hierarchical clustering analysis (HCA) divided samples into three main groups. Radar plot analysis and principal component analysis (PCA) found some quality differences existed between the three groups of samples. …”
Get full text

The evolving roles of geophysics in environmental assessment, monitoring, and management of landfill leachate contaminant plumes: An overview by Joseph Omeiza Alao

“…Electrical resistivity Imaging (ERI) and ground penetrating radar (GPR) show higher strength in assessing and monitoring LLP contaminant plumes, seismic refraction tomography (SRT) and ground magnetic survey (GMS) show moderate strength with very low-frequency EM (VLF-EM) technology falls short, especially in detecting and mapping disjoint subsurface contaminant plumes. …”
Get full text

Sandwich‐Structured Fluorinated Polyimide Aerogel/Paraffin Phase‐Change Composites Simultaneously Enables Gradient Thermal Protection and Electromagnetic Wave Transmission by Tao Shi, Jianwei Jing, Zhiqiang Qian, Gaojie Wu, Guofeng Tian, Huan Liu, Xiaodong Wang

“…With such prominent thermal insulation and wave‐transparent functions, the sandwich‐structured composite exhibits great potential for specific applications in aircraft, spacecraft, radar systems, and satellite communication.…”
Get full text

Advancing terrestrial snow depth monitoring with machine learning and L-band InSAR data: a case study using NASA’s SnowEx 2017 data by Ibrahim Olalekan Alabi, Ibrahim Olalekan Alabi, Hans-Peter Marshall, Jodi Mead, Ernesto Trujillo

“…The forthcoming NASA-ISRO Synthetic Aperture Radar (NISAR) mission, with its 12-day global revisit cycle and 1.25 GHz L-band frequency, introduces a promising avenue for cost-effective, large-scale snow depth and snow water equivalent (SWE) estimation using L-band Interferometric SAR (InSAR) capabilities. …”
Get full text

FathomDEM: an improved global terrain map using a hybrid vision transformer model by Peter Uhe, Chris Lucas, Laurence Hawker, Malcolm Brine, Hamish Wilkinson, Anthony Cooper, Alex A Saoulis, James Savage, Christopher Sampson

“…This model removes surface artifacts from a global radar DEM, Copernicus DEM, aligning it more closely with true topography. …”
Get full text

Comprehensive Monitoring of Construction Spoil Disposal Areas in High-Speed Railways Utilizing Integrated 3S Techniques by Xiaodong Hu, Bo Xia, Yongqi Guo, Yang Yin, Huihua Chen

“…In scenario 3, Sentinel-1 data were used to analyze elevation changes through the differential interferometric synthetic aperture radar method, followed by the estimation of spoil volume changes. …”
Get full text

DAShip: A Large-Scale Annotated Dataset for Ship Detection Using Distributed Acoustic Sensing Technique by Wenjin Huang, Shaoyi Chen, Yichang Wu, Ruihua Li, Tianrui Li, Yihua Huang, Xiaochun Cao, Zhaohui Li

“…Ship monitoring methods based on coastal video surveillance, satellite imagery, and synthetic aperture radar have been well developed. As the emerging remote sensing technology, distributed acoustic sensing (DAS) technology which continuously detects vibrations along underwater optical fiber cables facilitates all-weather, all-day, and real-time ship detection capabilities, possessing the potential for detecting dark ships. …”
Get full text

Synoptic and Mesoscale Atmospheric Patterns That Triggered the Natural Disasters in the Metropolitan Region of Belo Horizonte, Brazil, in January 2020 by Thaís Aparecida Cortez Pinto, Enrique Vieira Mattos, Michelle Simões Reboita, Diego Oliveira de Souza, Paula S. S. Oda, Fabrina Bolzan Martins, Thiago Souza Biscaro, Glauber Willian de Souza Ferreira

“…To achieve this, we analyzed data from various sources, including natural disaster records from the National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN), GOES-16 satellite imagery, soil moisture data from the Soil Moisture Active Passive (SMAP) satellite mission, ERA5 reanalysis, reflectivity from weather radar, and lightning data from the Lightning Location System. …”
Get full text

The youth mental health crisis: analysis and solutions by Patrick McGorry, Patrick McGorry, Hasini Gunasiri, Hasini Gunasiri, Cristina Mei, Cristina Mei, Simon Rice, Simon Rice, Caroline X. Gao, Caroline X. Gao

“…Potential new explanatory factors and megatrends, potentially flowing from a paradigm shift in the global political economy which has largely passed under the radar, yet which has produced fragmentation and inequality, are identified, with the COVID-19 pandemic further intensifying these trends. …”
Get full text

Estimating Seafloor Topography of the South China Sea Using SWOT Wide-Swath Altimetry Data by Fengshun Zhu, Jinbo Li, Yang Li, Jianqiao Xu, Jinyun Guo, Jiangcun Zhou, Heping Sun

“…Then, the three strategies are applied to the traditional radar altimetry gravity anomaly, and the results are compared with the SWOT-derived seafloor topography. …”
Get full text

Increasing Safety of Vulnerable Road Users in Scenarios With Occlusion: A Collaborative Approach for Smart Infrastructures and Automated Vehicles by Thiago de Borba, Ondrej Vaculin, Hormoz Marzbani, Reza Nakhaie Jazar

“…However, the available ranging and vision sensors, e.g., LiDAR, radar, and camera, have several limitations. Scenarios with occlusion present a real challenge for state-of-the-art perception systems. …”
Get full text

REVIEW OF IDENTIFIED SHORTCOMINGS IN AQUIFER VULNERABILITY ASSESSMENTS by Anthony Okeh, Abu Mallam, Osagie Abel Uyimwen, S. A. Ganiyu

“…A different research which incorporated VES and data from the hill-shaded Shuttle Radar Topography Mission (SRTM), suggested insufficient interconnectivity within the fractures as conditions controlling groundwater occurrence in the area. …”
Get full text

Optimization of Land Saving and Loss Reducing and Slope Stability Variation Patterns in Open-Pit Mine by Tongsuo Guo, Wei Zhou, Zhaolin Li, Chuanwei Zhang, Qingxiang Cai, Ya Tian, Huairui Qin, Fuming Liu, Izhar Mithal Jiskani, Dongxu Zhang

“…The stability of the south slope is good in the process of mining and internal drainage, and the overall stability of the south slope is controllable, based on slope radar monitoring.…”
Get full text

MDTR: a knowledge-guided interpretable representation for quantifying liver toxicity at transcriptomic level by Inyoung Sung, Sangseon Lee, Dongmin Bang, Dongmin Bang, Jungseob Yi, Sunho Lee, Sun Kim, Sun Kim, Sun Kim, Sun Kim

“…Representing each mechanism as a dimension, MDTR is visualized in a radar chart, enabling an effective visual presentation of hepatotoxicity at transcriptomic level.Results and DiscussionIn experiments with the LINCS dataset, we show that MDTR outperforms existing methods for measuring the distance of transcriptome data when describing for dose-dependent drug perturbations. …”
Get full text

Improving natural red pigment production by Streptomyces phaeolivaceus strain GH27 for functionalization of textiles with in silico ADME prediction by Gehad H. El Sayed, Mohamed Fadel, Rasha Fouad, Hend M. Ahmed, Ahmed A. Hamed

“…The ADME physicochemical properties of the predominant medication were assessed, together with its bioavailability. The radar plot demonstrated ideal parameters for size, polarity, lipophilicity, solubility, and saturation, excluding flexibility. …”
Get full text

Consistency Regularization for Semi-Supervised Semantic Segmentation of Flood Regions From SAR Images by G. Savitha, S. Girisha, Pundarika Sughosh, Dasharathraj K. Shetty, Jayaraj Mymbilly Balakrishnan, Rahul Paul, Nithesh Naik

“…Accurately defining the extent of floods is a problem for traditional flood mapping approaches, which emphasizes the vital need for modern technologies such as Synthetic Aperture Radar (SAR) imaging. Additionally, there is a need to develop computer-aided tools specifically designed for automatically identifying areas that are vulnerable to flooding using SAR data. …”
Get full text