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)
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)
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.
Review
Computer Science, Information Systems
Lapo Miccinesi, Alessandra Beni, Massimiliano Pieraccini
Summary: This paper reviews the current state-of-the-art of UAS-borne radars and outlines the future potential of this technology. It categorizes the scientific literature based on application, purpose, technology, and type of UAS. The review shows that there is currently no standard in radar technology, but multi-helicopters are likely to be the most commonly used UAS in the future. UAS-borne radar can be applied in various remote sensing tasks, such as landmine detection, smart agriculture, archeological survey, and search and rescue missions.
Article
Engineering, Multidisciplinary
Mingshun Xiang, Qiuchi Deng, Linsen Duan, Jin Yang, Chunjian Wang, Jiashuo Liu, Mengli Liu
Summary: This study uses remote sensing and Geographic Information System (GIS) techniques to investigate the spatiotemporal differentiation of vegetation coverage in the earthquake stricken area of Beichuan County, Sichuan Province. The results show that the overall vegetation coverage in Beichuan County is high, and the earthquake has caused severe damage to areas with high vegetation coverage. From 2007 to 2020, the vegetation coverage gradually recovered with noticeable spatiotemporal differences. Elevation is found to be the most influential factor on vegetation coverage.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Article
Geosciences, Multidisciplinary
Zhicheng Wang, Zhiqiang Gao
Summary: This study presents an approach for high-frequency dynamic monitoring of flood disaster using a remote sensing data cube. By removing clouds and fusing data, high spatiotemporal resolution monitoring is achieved.
Article
Geochemistry & Geophysics
Dominique Henry, Herve Aubert, Patrice Galaup, Thierry Veronese
Summary: This article discusses the use of a mobile millimeter-wave radar system for estimating vineyard yield. The study proposes a yield estimation method based on the classification of radar echoes measured for different grape varieties, meteorological conditions, and grape development stages. With yield estimation errors found to be lower than 10%, the radar technique is deemed suitable for precision viticulture applications.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Tingting Chen, Jingwen Qi, Min Xu, Liye Zhang, Yu Guo, Shuaian Wang
Summary: This paper investigates the problem of radar deployment in navigation channels to expand the radar coverage area and effectively detect vessel locations, aiming to reduce the risk of vessel collisions. The results show that reasonable deployment of different types of radars on existing and new buoys can improve the coverage ratio of the navigation channel.
Article
Biodiversity Conservation
Yinshuai Li, Chunyan Chang, Zhuoran Wang, Gengxing Zhao
Summary: This study used remote sensing technology and random forest algorithm to construct a soil salinization model and realized the upscaling inversion and dynamic monitoring of soil salinization through land use regionalization. The results showed that soil salinization in the Yellow River Delta gradually decreases from coastal to inland. From 2000 to 2020, soil salinization increased first and then decreased, with salinized soil accounting for 20.35% to 35.10%.
ECOLOGICAL INDICATORS
(2023)
Article
Chemistry, Analytical
Xiuhong Li, Xuejie Hao, Lizeyan Yin, Lu Liu, Yushuang Ma, Rongjin Yang, Qiao Song
Summary: The polar regions play a crucial role in global climate change, and it is essential to obtain accurate ice shelf movement data through comprehensive investigations to validate remote sensing data. Proposed solutions include developing monitoring systems and integrating high precision GPS and sensors for data acquisition in extreme polar environments, which have been validated through testing and remote sensing verification.
Article
Environmental Sciences
Qiming Qin, Zihua Wu, Tianyuan Zhang, Vasit Sagan, Zhaoxu Zhang, Yao Zhang, Chengye Zhang, Huazhong Ren, Yuanheng Sun, Wei Xu, Cong Zhao
Summary: This paper discusses the use of optical and thermal remote sensing in agricultural drought monitoring, with a focus on four categories of methods and the potential of solar-induced chlorophyll fluorescence in early drought detection. Future directions in agricultural drought monitoring include improving early detection, enhancing spatio-temporal resolution, integrating multi-source data, and utilizing deep learning and cloud computing for smart prediction and assessment.
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.
Review
Green & Sustainable Science & Technology
Tian Zhang, Wanchang Zhang, Ruizhao Yang, Yimo Liu, Masoud Jafari
Summary: Carbon Dioxide (CO2) has been identified as a major contributor to global warming and the greenhouse effect, posing a serious threat to the well-being of the Earth and its inhabitants. Carbon capture and storage (CCS) has proven to be an effective method in reducing atmospheric CO2 levels, while remote sensing technology provides a cost-effective and efficient means of monitoring CO2 leakage in storage sites to ensure project safety and effectiveness.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Environmental Sciences
Weitao Wang, Qin Ma, Jianxi Huang, Quanlong Feng, Yuanyuan Zhao, Hao Guo, Boan Chen, Chenxi Li, Yuxin Zhang
Summary: Grasslands, as an important part of terrestrial ecosystems, are facing serious threats of land degradation. In this study, we verified the advantages of fusing multi-spectral (MS) and synthetic aperture radar (SAR) data for improving the accuracy of grassland remote sensing monitoring, especially in cloud-covered areas. Results showed that the proposed adaptive feature fusion method with single-size patches achieved the best results.
Article
Architecture
Paolo Barsocchi, Gianni Bartoli, Michele Betti, Maria Girardi, Stefano Mammolito, Daniele Pellegrini, Giacomo Zini
Summary: The recent developments of micro-electro-mechanical systems and wireless sensor networks have enabled the cost-effective and small-size sensors for continuous monitoring of civil structures. Despite the growing interest in continuous monitoring, many questions remain open about the sensitivity of measurement devices, the optimization of sensors, the energy efficiency of the network, and the development of algorithms for real-time data analysis.
INTERNATIONAL JOURNAL OF ARCHITECTURAL HERITAGE
(2021)
Article
Energy & Fuels
Francesco Balduzzi, Marco Zini, Andreu Carbo Molina, Gianni Bartoli, Tim De Troyer, Mark C. Runacres, Giovanni Ferrara, Alessandro Bianchini
Article
Engineering, Civil
Cong Chen, Claudio Mannini, Gianni Bartoli, Klaus Thiele
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
(2020)
Article
Plant Sciences
Andrea Giachetti, Francesco Ferrini, Gianni Bartoli
Summary: Urban trees are crucial for sustainable and resilient cities but also carry risks. A study presents a procedure to quantify the risk of trees falling under extreme wind events, with the combination of hazard, exposure, vulnerability and damage, characterized by Scale and Degree of Knowledge factors.
URBAN FORESTRY & URBAN GREENING
(2021)
Article
Energy & Fuels
Hrvoje Kozmar, Gianni Bartoli, Claudio Borri
Summary: The study compared the wind characteristics of a parked wind turbine in different terrains and found that complex terrains have a significant impact on wind characteristics, while the effects of parked wind turbines can be negligible.
Review
Construction & Building Technology
Francisco J. Pallares, Michele Betti, Gianni Bartoli, Luis Pallares
Summary: The scientific community is actively working on proposing reliable analysis methodologies and non-invasive investigation technologies to assess the current state of conservation of historic buildings and to confirm their ability to resist future threats. The focus is on preserving invaluable cultural heritage through suitable structural assessment techniques, with attention paid to monitoring structural health using advanced technological methods like sensors, wireless connections, and continuous monitoring. Research has shown an increase in papers published on Structural Health Monitoring (SHM) and Nondestructive Testing (NDT) of masonry structures, particularly on slender elements in recent years.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Construction & Building Technology
Giacomo Zini, Michele Betti, Gianni Bartoli
Summary: Traffic-induced vibration is a significant cause of small damages to Heritage buildings. This paper compares the efficiency of two common methods for calculating velocities and analyzes the phenomenon systematically, highlighting an increase in traffic-induced vibrations on the lodge due to road unevenness. The study emphasizes the importance of understanding and addressing the impact of traffic-induced vibrations on structures.
STRUCTURAL CONTROL & HEALTH MONITORING
(2022)
Article
Construction & Building Technology
Gianni Bartoli, Michele Betti, Maria Girardi, Cristina Padovani, Daniele Pellegrini, Giacomo Zini
Summary: This paper describes the application of wireless sensor network technology in the long-term monitoring of a historic tunnel-like masonry structure in Italy. The monitoring aims to provide real-time detection of potential damage that may compromise the safety of heritage structures. The selected case study presented challenges in terms of the structure type and the technical solution employed. The lessons learned after one year of monitoring are summarized.
PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-STRUCTURES AND BUILDINGS
(2022)
Article
Engineering, Civil
Giacomo Zini, Michele Betti, Gianni Bartoli
Summary: This paper reports on a pilot project for long-term structural health monitoring of historical city gates. The optimal sensor position for reliable structural health monitoring procedures is discussed with reference to the San Niccolo gate in Florence.
JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING
(2022)
Article
Forestry
Andrea Giachetti, Giacomo Zini, Yamuna Giambastiani, Gianni Bartoli
Summary: A comprehensive understanding of the dynamic behavior of a tree can be obtained through engineering methods and dynamic identification procedures. The study on black locust demonstrates the possibility of identifying natural frequencies of a tree under ambient vibrations.
Article
Engineering, Mechanical
Silvia Monchetti, Cecilia Viscardi, Michele Betti, Gianni Bartoli
Summary: This paper proposes the application of the Bayesian paradigm in the model updating procedure for historic confined masonry towers. It explores the effects of parameter uncertainty, observation errors, and model inadequacy by comparing numerical model output with real measured modal data. The proposed methodology aims to reduce initial uncertainties and improve predictive capabilities.
PROBABILISTIC ENGINEERING MECHANICS
(2022)
Article
Construction & Building Technology
Elena Casprini, Chiara Passoni, Alessandra Marini, Gianni Bartoli
Summary: The study evaluates the effects of reinforcement corrosion in reinforced concrete structures and provides a simplified model and tools to understand the impact of corrosion, guiding the choice of structural analysis and renovation strategies.
STRUCTURAL CONCRETE
(2023)
Article
Construction & Building Technology
Elena Casprini, Chiara Passoni, Alessandra Marini, Gianni Bartoli
Summary: When evaluating existing reinforced concrete structures, it is important to consider the effects of reinforcement corrosion in order to accurately assess structural performance changes and choose the appropriate renovation strategy. The DEMSA protocol provides professionals with straightforward tools to calibrate equivalent damage parameters that can describe corrosion effects based on easily measurable environmental conditions. The protocol also offers guidance on implementing these parameters in structural analyses to describe corrosion effects at a sectional level. Additionally, a simplified approach to model the distribution of corrosion along the length of the reinforcement bars is proposed. The importance of the equivalent damage parameters in detecting the impact of corrosion effects on structural performance, such as internal actions distribution, stiffness reduction, strength, and ductility, is demonstrated through nonlinear static analyses on reference reinforced concrete frames with different corrosion patterns using fiber modeling techniques.
STRUCTURAL CONCRETE
(2023)
Article
Construction & Building Technology
Elena Casprini, Chiara Passoni, Alessandra Marini, Gianni Bartoli
Summary: This paper presents a simplified protocol for detecting and evaluating corrosion effects in reinforced concrete structures, providing support for engineers in their decision-making process and choice of renovation strategy. The effectiveness of the proposed protocol is demonstrated through its application to case studies.
Article
Construction & Building Technology
G. Lacanna, M. Betti, M. Ripepe, G. Bartoli
FRONTIERS IN BUILT ENVIRONMENT
(2020)
Article
Materials Science, Characterization & Testing
Bin Ma, Qingzhao Kong, Yewei Ding, Lin Chen, Weihang Gao
Summary: This study proposes an end-to-end damage detection framework that integrates emphasized channel attention, propagation, and aggregation-time-delay neural network (ECAPA-TDNN) with percussion techniques. The framework effectively detects internal damage within timber structures and distinguishes between different sizes of damage.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Zhiyuan Zhao, Lishuai Liu, Wen Liu, Da Teng, Yanxun Xiang, Fu-Zhen Xuan
Summary: The total focusing method (TFM) is a standard technique in ultrasonic phased array imaging and plays a crucial role in industrial non-destructive testing (NDT). This paper presents an improved TFM approach by formulating its imaging principle as a Boolean matrix and establishing a discretized tensor-based model. By employing sparse regularization strategy and a non-negative constraint solution algorithm, the proposed approach demonstrates superior capabilities in defect characterization and noise suppression compared to the traditional TFM.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Dongsoo Lee, Jung-Doung Yu, Seokgyu Jeong, Geunwoo Park, Jong-Sub Lee
Summary: This study suggests a more accurate method for evaluating the integrity of drilled shafts using electromagnetic waves propagating through transmission lines. The experimental results show that the location and size of sound and defect segments can be more clearly identified with the use of connectors on the transmission line.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Lu-Nan Dai, Chen-Yin Ni, Kai-Ning Ying, Ling Yuan, Zhi Yang, Wei-Wei Kan, Zhong-Hua Shen
Summary: A laser ultrasonics based frequency domain synthetic aperture focusing technology has been developed for imaging internal horizontal hole defects in bimetallic composites with a diameter of approximately 1.0 mm. The results show that this technology can improve imaging quality and locating capability, with a low testing error.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Guillermo Cosarinsky, Jorge F. Cruza, Mario Munoz, Jorge Camacho
Summary: This study develops an ultrasound imaging method for industrial and structural components, which can automatically detect the surface and estimate the probe position and orientation. By fitting the parametric models based on measured surface echoes, the method achieves the measurement of surface echoes and estimation of probe position and orientation. Validation experiments show that this method can accurately detect defects in the component under different probe positions and orientations.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
L. Gahleitner, G. Thummerer, G. Mayr, G. Mayr, P. Burgholzer, U. Cakmak
Summary: This study presents a one-dimensional photothermal method using the virtual wave concept to estimate subsurface interface parameters and demonstrates its application in layered materials. Experimental results validate the accurate estimation of interfacial parameters for the analyzed samples.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Pengxiang Ji, Yiming Jiang, Ruobing Zhao, Jing Zou
Summary: Computed laminography (CL) is a non-destructive imaging technique for plate-like samples that has challenges in exact reconstruction. Fusion laminography (FL) combines Fourier information from CL and CT to achieve precise reconstruction, showing superiority in artifact removal and edge preservation, particularly for irregular sample structures.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Guangzhi Chen, Odile Abraham, Damien Pageot, Olivier Durand, Mathieu Chekroun, Vincent Tournat
Summary: This paper investigates the application of Nonlinear Coda Wave Interferometry (NCWI) method in evaluating the nonlinear interface areas in highly heterogeneous materials. An experimental protocol is proposed and validated through numerical simulation and experimental results. The findings demonstrate that NCWI can be used to quantitatively analyze the nonlinear interface effects in complex media.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Ronghua Xu, Raul Enrique Beltran-Gutierrez, Max Kaeding, Alexander Lange, Steffen Marx, Joern Ostermann
Summary: This study compares the signal response of four different couplant materials in acoustic emission analysis and ultrasonic testing, and analyzes their impact on the signal response of a piezoelectric sensor. The results indicate that acrylic adhesive pads and hot glue demonstrate more reliable signal transmission in certain frequency ranges, while honey and vaseline perform better in other frequency ranges. Acrylic adhesive pads and honey are considered the preferred couplant materials.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Yong-Ho Kim, Jung-Ryul Lee
Summary: An artificial intelligence system for phased-array ultrasonic testing (PAUT) was developed in this study using a newly configured training dataset and neural network. Three experiments were conducted to verify its performance, showing improved classification accuracy of signals and successful data evaluation, benefiting the PAUT experts.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Shaun Mcknight, S. Gareth Pierce, Ehsan Mohseni, Christopher Mackinnon, Charles Macleod, Tom 'Hare, Charalampos Loukas
Summary: This work proposes four synthetic data generation methods to address the issue of limited training data in Non-Destructive Ultrasonic Testing. Experimental results demonstrate that these methods significantly improve the classification performance of real experimental images.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Xintao Xu, Zhixuan Chang, Eryong Wu, Shiwei Wu, Jian Chen, Keji Yang, Haoran Jin
Summary: This paper proposes a novel nozzle-side inspection method based on the data fusion of multi-view plane wave imaging (PWI) for ultrasonic non-destructive testing of nozzle-to-pipe welds. Experiments demonstrate the capability of sensitivity mappings to optimize the inspection configuration and serve as filters to fuse multi-view images. The proposed method enables accurate defect characterization and detection of slag, cracks, and lack of penetration in nozzle specimens.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Kai Wang, Zechen Luo, Shuang Xu, Wenxin Lai, Ruiqi Guan, Qijian Liu, Menglong Liu, Jing Rao, Xinlin Qing
Summary: In this study, an analytical framework is proposed to interpret the formation of defect-induced LDR in multilayered structures. By analyzing the reflections of Lamb waves at defect boundaries and obtaining the phase shift of reflected waves, the relationship between LDR frequency components and defect size is determined. Experimental validations are performed to improve the precision of defect characterization using LDR.
NDT & E INTERNATIONAL
(2024)
Article
Materials Science, Characterization & Testing
Shijie Jin, Chengjun Di, Jiakai Su, Siqi Shi, Zhongbing Luo
Summary: This paper proposes a mirrored composite-mode total focusing method (CTFM) for the quantitative detection and profile characterization of priori unknown irregular planar defects. Multiple views and normalization are used to achieve accurate imaging results.
NDT & E INTERNATIONAL
(2024)
