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Enhancing Surface Soil Moisture Estimation through Integration of Artificial Neural Networks Machine Learning and Fusion of Meteorological, Sentinel-1A and Sentinel-2A Satellite Data

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Advances in Remote Sensing 2023年第4期12卷 99-122页

作者： Jephter Ondieki giovanni laneve Maria Marsella Collins Mito DIMA-Department of Mechanical and Aerospace Engineering Sapienza University of Rome Roma Italy SIA-School of Aerospace Engineering Sapienza University of Rome Roma Italy Department of Physics University of Nairobi Nairobi Kenya

For many environmental and agricultural applications, an accurate estimation of surface soil moisture is essential. This study sought to determine whether combining Sentinel-1A, Sentinel-2A, and meteorological data with artificial neural networks (ANN) could improve soil moisture estimation in various land cover types. To train and evaluate the model’s performance, we used field data (provided by La Tuscia University) on the study area collected during time periods between October 2022, and December 2022. Surface soil moisture was measured at 29 locations. The performance of the model was trained, validated, and tested using input features in a 60:10:30 ratio, using the feed-forward ANN model. It was found that the ANN model exhibited high precision in predicting soil moisture. The model achieved a coefficient of determination (R2) of 0.71 and correlation coefficient (R) of 0.84. Furthermore, the incorporation of Random Forest (RF) algorithms for soil moisture prediction resulted in an improved R2 of 0.89. The unique combination of active microwave, meteorological data and multispectral data provides an opportunity to exploit the complementary nature of the datasets. Through preprocessing, fusion, and ANN modeling, this research contributes to advancing soil moisture estimation techniques and providing valuable insights for water resource management and agricultural planning in the study area.

关键词： Soil Moisture Estimation Techniques Fusion Active Microwave Multispectral Data Agricultural Planning

Dragon 4-Satellite Based Analysis of Diseases on Permanent and Row Crops in Italy and China

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Journal of Geodesy and Geoinformation Science 2020年第4期3卷 98-109页

作者： giovanni laneve Roberto LUCIANI Pablo MARZIALETTI Stefano PIGNATTI Wenjiang HUANG Yue SHI Yingying DONG Huichun YE Scuola di Ingegneria Aerospaziale Sapienza Universitàdi RomaRoma 00185Italy DIAEE Sapienza Universitàdi Roma 00185Italy IMAA-CNR Roma 00185Italy RADI Chinese Academy of SciencesBeijing 100010China

The AMEOS(Assimilating Multi-source Earth Observation Satellite data for crop pests and diseases monitoring and forecasting)project aims to bring together cutting edge research to provide pest and disease monitoring and forecast information,integrating multi-source information(Earth Observation,meteorological,entomological and plant pathological,etc.)to support decision making in the sustainable management of insect pests and diseases in *** main objective of the project,that is,improving crop diseases and pests monitoring and forecasting,will be achieved by utilizing EO data,developing new algorithms,and combining new and existing data from multi-source EO sensors to produce high spatial and temporal land surface *** project foresees the assessment of the possibility of using available satellite images datasets to assess the evolution of diseases on permanent(olive groves,vineyards),or row crops(wheat)in Italy and *** paper describes the results of the research activity which focused on:①improving the classification of the agricultural areas devoted to winter wheat and olive trees,starting from what has been made available from the Corine Land Cover initiative;②developing an approach suitable to be automated for estimating trees by using Sentinel 2 images;③developing a new index,REDSI(consisting of Red,Re 1,and Re 3 bands),for detecting and monitoring yellow rust infection of winter wheat at the canopy and regional *** research activity covers the:Province of Lecce,that is the Italian area strongly affected,since 2015,by the Xylella fastidiosa disease which causes a rapid decline in olive *** of Anyang,Neihuang county,which was affected by the yellow rust disease in the spring 2017.

关键词： disease reflectance index morphology classification

Phosphodiesterase 9 localization in cytoplasm and nucleus:the gateway to selective targeting in neuroprotection?

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Neural Regeneration Research 2025年第6期20卷 1701-1702页

作者： giovanni Ribaudo Matteo Giannangeli Margrate Anyanwu Alessandra Gianoncelli Department of Molecular and Translational Medicine University of BresciaBresciaItaly

The umbrella term"neurodege ne rative disorders"(NDDs) refers to several conditions characterized by a progressive loss of structure and function of cells belonging to the nervous *** diseases affect more than 50million people *** disorders are characterized by sundry factors and pathophysiological mechanisms that a re challenging to be fully *** of these rely on cell signaling pathways to preserve homeostasis,involving second messengers such as cyclic adenosine monophosphate (cAMP)and cyclic guanosine 3',5'-monophosphate(cGMP).Their ability to control the duration and amplitude of the signaling cascade is given by the presence of several common and uncommon *** kinases A and G (PKA and PKG),phosphodiesterases (PDEs),and scaffold proteins are among them.

关键词： gateway homeostasis preserve

High voltage direct current transmission cables to help decarbonisation in Europe:Recent achievements and issues

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High Voltage 2022年第4期7卷 633-644页

作者： giovanni Mazzanti Department of Electrical Electronic and Information EngineeringUniversity of BolognaBolognaItaly

High Voltage Direct Current(HVDC)underground and submarine cables constitute an essential technology for the long-distance transmission of renewable electrical power with low losses,thereby fostering *** the past 2 decades,all this yielded a quasi-exponential rise of HVDC cable systems installed worldwide,but has also made the working conditions of HVDC cables *** this paper,the contribution of HVDC cables to decarbonisation is tackled,with particular reference to the situation in Europe,and a few simple calculations showing in general terms the quantitative contribution provided by HVDC cable systems to decarbonisation are ***,the major issues towards long-lasting and reliable HVDC cable systems are summarised briefly,focussing-for the sake of brevity-on the influence of the main HVDC cable technologies,of cable laying environment and of duty *** hints are also provided at the chances given by multiterminal HVDC systems.

关键词： cable submarine thereby

Deep learning to develop zero-equation based turbulence model for CFD simulations of the built environment

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Building Simulation 2024年第3期17卷 399-414页

作者： giovanni Calzolari Wei Liu Division of Sustainable Buildings Department of Civil and Architectural EngineeringKTH Royal Institute of TechnologyBrinnelvägen 23Stockholm11428Sweden

This study aims to improve the accuracy and speed of predictions for thermal comfort and air quality in built environments by creating a coupled framework between computational fluid dynamics(CFD)simulations and deep learning *** coupling approach is showcased by the development of a data-driven turbulence *** new turbulence model is built using a deep learning neural network,whose mapping structure is based on a zero-equation turbulence model for built environment simulations,and is coupled with the CFD software OpenFOAM to create a hybrid *** neural network is a standard shallow multi-layer *** number of hidden layers and nodes per layer was optimized using Bayesan optimization *** framework is trained on an indoor environment case study,as well as tested on an indoor office simulation and an outdoor building array *** show that the deep learning based turbulence model is more robust and faster than traditional two-equation Reynolds average Navier-Stokes(RANS)turbulence models,while maintaining a similar level of *** model also outperforms the standard algebraic zero-equation model due to its superior ability to generalize to various flow *** some challenges,namely the mapping constraint,the limited training dataset size and the source of generation of training data,the hybrid framework demonstrates the viability of the coupling technique and serves as a starting point for future development of more reliable and advanced models.

关键词： neural networks computational fluid dynamics(CFD) turbulence model OpenFOAM

Numerical modeling of deep-seated landslides interacting with man-made structures

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Journal of Rock Mechanics and Geotechnical Engineering 2018年第6期10卷 1020-1036页

作者： giovanni Barla Politecnico di Torino TorinoItaly

This paper describes the interaction between deep-seated landslides and man-made structures such as dams, penstocks, viaducts, and tunnels. Selected case studies are reported first with the intent to gain insights into the complexities associated with the interaction of these structures with deep-seated landslides(generally referred to as deep-seated gravity slope deformations, DSGSDs). The main features, which characterize these landslides, are mentioned together with the interaction problems encountered in each case. Given the main objective of this paper, the numerical modeling methods adopted are outlined as means for increase in the understanding of the interaction problems being investigated. With the above in mind, the attention moves to an important and unique case history dealing with the interaction of a large-size twin-tunnel excavated with an earth pressure balance(EPB)tunnel boring machine(TBM) and a deep-seated landslide, which was reactivated due to the stress changes induced by tunnel excavation in landslide shear zone. The geological and geotechnical conditions are described together with the available monitoring data on the landslide movements, based on the advanced and conventional monitoring tools used. Numerical modeling is illustrated as an aid to back-analyze the monitored surface and subsurface deformations and to assist in finding the appropriate engineering solution for putting the tunnel into service and as a follow-up means for future understanding and control of the interaction problems. The simulation is based on a novel time-dependent model representing the landslide behavior.

关键词： Deep-seated landslides Man-made structures Landslide-structure interaction Monitoring of landslide movement Numerical modeling

When Edge Computing Meets IoT Systems: Analysis of Case Studies

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China Communications 2020年第10期17卷 50-63页

作者： Fabio Arena giovanni Pau Faculty of Engineering and Architecture Kore University of EnnaCittadella UniversitariaEnna 94100Italy

On a macroscopic level,an edge computing architecture looks like a distributed and decentralized IT(Information Technology)*** in detail,it could be defined as a mesh network of micro data centers capable of processing and storing critical data locally,and to transmit all data received and/or processed to a central data center or a cloud storage *** network topology,also taking advantage of the availability on the market of cost-effective small form factor(SFF)electronic components and systems decreasing,brings the essential components of processing,storage,and networking closer to the sources that generate the *** typical use case is that of Internet of Things(IoT)devices and implementations,which often face latency problems,lack of bandwidth,reliability,which cannot be addressed through the conventional cloud *** this context,the edge computing architecture can reduce the size of data to be sent to the cloud,processing critical data,sensitive to latency,at the point of origin,via a smart device,or sending it to an intermediate server,located *** aim of this paper is to report some of the main aspects and significant features of edge computing and analyzing several popular case studies.

关键词： edge computing fog computing cloud computing analysis internet of things

Fall cone tests considering water content, cone penetration index, and plasticity angle of fine-grained soils

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Journal of Rock Mechanics and Geotechnical Engineering 2020年第6期12卷 1347-1355页

作者： Satoru Shimobe giovanni Spagnoli College of Science and Technology Nihon UniversityFunabashi274-8501Japan BASF Construction Solutions GmbH Dr.-Albert-Frank-Straße 32Trostberg83308Germany

This paper analyzed the consistency of some parameters of soils in the literature and experimental results from fall cone test and its application to soil plasticity *** 500 data from both literatures and experiments using fall cone and Casagrande methods were compiled to assess the relationships among specified water content,cone penetration index ebT,and plasticity angle eaT of finegrained *** results indicate that no unique correlation exists among b,liquid limit of the fall cone test(LLc)and *** water content at 1 mm cone penetration eC0T correlates well with b,plasticity ratio eRpT(*** ratio of plastic limit to liquid limit),and ***,the potential of using the btan a diagram to classify soil plasticity was also discussed.

关键词： Atterberg limits Fall cone test Plasticity angle Water content Cone penetration index Plasticity ratio

How believable are published laboratory data?A deeper look into system-compliance and elastic modulus

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Journal of Rock Mechanics and Geotechnical Engineering 2021年第3期13卷 487-499页

作者： Aly Abdelaziz giovanni Grasselli Department of Civil and Mineral Engineering University of Toronto35 St.George StreetTorontoOntarioM5S 1A4Canada

Elastic modulus(E)interpretation is debatable with limited literature detailing the impact of *** address this impact,a comprehensive testing schedule using an aluminium 6061(Al)sample is carried out on several systems under various test *** is chosen as it is extruded and adheres to well defined shape tolerances and elastic properties.A robust method,using the Savitzky-Golay filter,is introduced to identify significant slope changes in the stressestrain *** the load in the test system is well defined,the recorded deformation is corrected to the expected value of Al resulting in a system-compliance *** results across the testing systems and test setups showed significant variance,with the recorded E always lower than the anticipated *** number of components within the system over which the deformation is measured had the most significant impact,lowering the expected E by up to 50%.Additionally,the system-compliance factor is inconsistent across different systems and ***,it is evidently proved that each setup must be separately evaluated for its system-compliance and that no single value exists across systems and *** findings are then projected onto a series of uniaxial compressive strength(UCS)tests carried out on Stanstead granite(SS GR)*** corrected Et50 and Eavg values for system-compliance of the samples are within1%for each system as opposed to being50%*** findings conclude that it is deemed necessary and of utmost importance that the deformation be corrected to accommodate the systemcompliance to obtain reliable results.

关键词： System-compliance Elastic modulus Stressestrain Compressive strength of rock