Article
Computer Science, Information Systems
Lapo Miccinesi, Tommaso Consumi, Alessandra Beni, Massimiliano Pieraccini
Summary: This paper proposes a fast MIMO-GBSAR radar operating in W-band, which can complete a scan in less than 8 seconds and is compact and lightweight for easy deployment in the field. Through testing in a controlled environment and a real case study, the performance of this radar has been proven.
Article
Remote Sensing
Benyamin Hosseiny, Jalal Amini, Hossein Aghababaei
Summary: This study develops a ground-based synthetic aperture radar (GBSAR) imaging system and interferometric processing framework for structural health monitoring (SHM). The proposed GBSAR system can monitor sub-millimeter displacements with high spatial resolution and 0.02 mm precision in the LOS direction. It also demonstrates high potential for measuring continuous sub-second LOS displacements and long-term 3D displacement vectors.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Review
Construction & Building Technology
Domenico Camassa, Nicolo Vaiana, Anna Castellano
Summary: Modal testing is an effective experimental technique for monitoring the health of masonry constructions. However, its application is sometimes hindered by the complexity of the conventional set-up. To overcome this, researchers are exploring the use of ground-based radar interferometry for displacement and vibration monitoring.
FRONTIERS IN BUILT ENVIRONMENT
(2023)
Review
Environmental Sciences
Nicola Casagli, Emanuele Intrieri, Veronica Tofani, Giovanni Gigli, Federico Raspini
Summary: This article discusses the use of remote sensing technology in detecting, monitoring, and predicting landslides. It highlights the importance of these activities in managing landslide risks, especially when they occur near human settlements and infrastructure. Various remote sensing techniques, such as satellite observation and ground-based sensors, provide valuable information for landslide analysis and management.
NATURE REVIEWS EARTH & ENVIRONMENT
(2023)
Review
Chemistry, Analytical
Alexey Noskov, Joerg Bendix, Nicolas Friess
Summary: Drastic declines in insect populations are a significant global concern, requiring systematic and global monitoring techniques. Radar monitoring of insects is established but rapidly growing, with high potential based on increasing research interest and emerging technologies. Promising insect monitoring solutions using compact radar instruments are being developed for effective and systematic monitoring.
Article
Engineering, Environmental
Dyre Oliver Dammann, Mark A. Johnson, Andrew R. Mahoney, Emily R. Fedders, Masato Ito, Jennifer K. Hutchings, Christopher M. Polashenski, Mark Fahnstock
Summary: In this study, landfast sea ice dynamics were evaluated using ground-based radar interferometry. Measurements were collected using the Gamma portable radar interferometer (GPRI) during two field campaigns in Utqiagvik, Alaska in May 2012 and April 2021. The results showed near spatially uniform divergence strains and uniform vertical shifts in response to various environmental factors. The study suggests that GPRI can be a valuable tool for monitoring ice-covered coastal zones and small-scale deformation of ice.
COLD REGIONS SCIENCE AND TECHNOLOGY
(2023)
Article
Green & Sustainable Science & Technology
Yanzhen Liu, Yunwei Tang, Linhai Jing, Fulong Chen, Ping Wang
Summary: This study explores the monitoring of immovable cultural relics using remote sensing techniques at both macro and micro scales. By analyzing environmental factors and attribute information, the study reveals spatial and temporal changes of the Shunji Bridge before and after its destruction. The findings provide technical support for natural disaster risk assessment of immovable cultural relics and offer suggestions for their protection.
Review
Chemistry, Analytical
Davi V. Q. Rodrigues, Changzhi Li
Summary: The paper reviews recent technical advances in low-cost Doppler radar systems for phase-demodulated displacement measurements and time-Doppler analysis for structural health information. Radar systems are compact, easily integrated, and capable of providing high accuracy measurements, making them suitable for structural condition monitoring.
Article
Engineering, Multidisciplinary
Andrea Miano, Annalisa Mele, Domenico Calcaterra, Diego Di Martire, Donato Infante, Andrea Prota, Massimo Ramondini
Summary: This study demonstrates the potential utility of satellite data derived from remote sensing techniques for structural health monitoring of reinforced concrete buildings affected by landslides. This methodology can be quickly applied to a large number of reinforced concrete buildings for landslide risk reduction in civil protection programs.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2021)
Article
Agriculture, Multidisciplinary
Xiaochuang Yao, Shuhan Lu, Jinfeng Gu, Long Zhang, Jiwen Yang, Chunbin Fan, Lin Li
Summary: Locusts often cause significant damage to crops worldwide. Remote sensing technology is commonly used to monitor locust plagues. Implementing a locust remote sensing monitoring system based on a dynamic model library has shown to effectively integrate multiple data sources and conduct research on locust plague monitoring.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2021)
Editorial Material
Ecology
Hooman Latifi, Ruben Valbuena, Carlos Alberto Silva
Summary: Remote sensing and geospatial sciences have a long history in fostering research in ecology. However, the use of active remote sensing for ecological and conservation purposes is still in the early stages, with limited understanding of the implications of active sensor data. This special feature includes papers that explore the direct usage of active remote sensing techniques and interpretation of proxies derived from active data to address ecological topics.
METHODS IN ECOLOGY AND EVOLUTION
(2023)
Review
Geochemistry & Geophysics
Samedh Sachin Kari, A. Arockia Bazil Raj, K. Balasubramanian
Summary: This article reviews the evolutionary developments of today's remote sensing radar/optical/electronic warfare technologies, discussing radar sensing techniques, top-level radar classifications, and revolutionary antenna technologies. It also covers radar waveform design techniques and the applications of radar systems in contemporary society. Additionally, the article discusses the state-of-the-art optical technologies available for remote sensing applications and presents a comprehensive comparative study of remote sensing systems/technologies.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE
(2023)
Article
Plant Sciences
Weiwei Sun, Qijin He, Jiahong Liu, Xiao Xiao, Yaxin Wu, Sijia Zhou, Selimai Ma, Rongwan Wang
Summary: This study established a scalable annual and inter-annual quality prediction model for summer maize in different growth periods using hierarchical linear modeling (HLM) combined with hyperspectral and meteorological data. Compared to the multiple linear regression (MLR) using vegetation indices (VIs), the HLM showed improved prediction accuracy. The results demonstrated that meteorological factors, especially precipitation, had a significant influence on grain quality.
FRONTIERS IN PLANT SCIENCE
(2023)
Review
Environmental Sciences
Valerio Gagliardi, Fabio Tosti, Luca Bianchini Ciampoli, Maria Libera Battagliere, Luigi D'Amato, Amir M. Alani, Andrea Benedetto
Summary: High-temporal-frequency monitoring of transport infrastructure is crucial to prevent major service disruption or structural failures. Ground-based NDT methods have high data quality and accuracy standards but require routine campaigns and long inspection times. Satellite remote sensing techniques, such as MT-InSAR, can monitor ground displacements with higher temporal frequency and wider coverage, but the integration of satellite and ground-based information in civil engineering is still an area that needs exploration. This paper reviews significant applications in transport infrastructure monitoring and discusses the challenges and future perspectives of their mutual integration.
Article
Environmental Sciences
Stefano Tebaldini, Marco Manzoni, Dario Tagliaferri, Marco Rizzi, Andrea Virgilio Monti-Guarnieri, Claudio Maria Prati, Umberto Spagnolini, Monica Nicoli, Ivan Russo, Christian Mazzucco
Summary: This paper discusses the possibility of generating high-resolution mapping of urban or extra-urban environments using synthetic aperture radar (SAR) processing applied to data collected by mm-wave automotive radars. The role of SAR imaging in the automotive context is discussed from a theoretical and experimental perspective, including the benefits, technological aspects, and computational cost evaluation.
Article
Archaeology
Justin J. L. Kimball, Ruben With, Christian Lochsen Rodsrud
Summary: Micro-CT (μCT) has been increasingly used in the cultural heritage sector to understand past cultures and their materials. In the case of the Gjellestad ship from the Viking Age, μCT was used to document and conserve the deteriorated organic and metallic materials. A georeferencing system was developed to retain important stratigraphic and position information, allowing for spatial positioning using 3D GIS. The use of μCT has shown positive impact on the documentation, conservation, and reconstruction of cultural heritage.
JOURNAL OF CULTURAL HERITAGE
(2024)
Review
Archaeology
S. Sylaiou, P. Dafiotis, D. Koukopoulos, K. Koukoulis, R. Vital, A. Antoniou, Chr. Fidas
Summary: This manuscript discusses the growing importance of Extended Reality (XR) in art exhibitions. It explores the technologies used, design issues, evaluation metrics, and aims of XR exhibitions. The research focuses on the current types of technologies used, primary design considerations, and methods to enhance user experience. The paper also examines evaluation criteria and the use of virtual humans for increased engagement. Additionally, it thoroughly discusses parameters affecting user experience and offers suggestions for optimizing design and future directions.
JOURNAL OF CULTURAL HERITAGE
(2024)
Article
Archaeology
Carlo Battini, Umberto Ferretti, Giorgia De Angelis, Roberto Pierdicca, Marina Paolanti, Ramona Quattrini
Summary: This research presents a method for recognizing historical building elements using a deep learning system. By leveraging synthetic point clouds to generate 3D models, the proposed approach achieves high accuracy in the experiments conducted on a newly synthetic dataset.
JOURNAL OF CULTURAL HERITAGE
(2024)
Article
Archaeology
Jingwen Zhang, Tianlin Ren
Summary: In the era of digital information, metadata and ontology technology have promoted the management and utilization of museum collections. This study focused on ancient Chinese ceramics and proposed solutions for the shortcomings in their information management through metadata analysis and ontology construction. The structure of the ontology was visualized to provide a clearer understanding of ancient Chinese ceramics.
JOURNAL OF CULTURAL HERITAGE
(2024)
