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Titre : Remote sensing in applications of geoinformation Type de document : Monographie Auteurs : Silas Michaelides, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2022 Importance : 174 p. ISBN/ISSN/EAN : 978-3-0365-2325-5 Note générale : Bibliographie
This book is a printed edition of the Special Issue Remote Sensing in Applications of Geoinformation that was published in Remote SensingLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] apprentissage automatique
[Termes IGN] cartographie des risques
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] écosystème forestier
[Termes IGN] écosystème urbain
[Termes IGN] image Sentinel-MSI
[Termes IGN] inondation
[Termes IGN] modèle 3D de l'espace urbainIndex. décimale : 35.40 Applications de télédétection - généralités Résumé : (Editeur) Remote sensing, especially from satellites, is a source of invaluable data which can be used to generate synoptic information for virtually all parts of the Earth, including the atmosphere, land, and ocean. In the last few decades, such data have evolved as a basis for accurate information about the Earth, leading to a wealth of geoscientific analysis focusing on diverse applications. Geoinformation systems based on remote sensing are increasingly becoming an integral part of the current information and communication society. The integration of remote sensing and geoinformation essentially involves combining data provided from both, in a consistent and sensible manner. This process has been accelerated by technologically advanced tools and methods for remote sensing data access and integration, paving the way for scientific advances in a broadening range of remote sensing exploitations in applications of geoinformation. This volume hosts original research focusing on the exploitation of remote sensing in applications of geoinformation. The emphasis is on a wide range of applications, such as the mapping of soil nutrients, detection of plastic litter in oceans, urban microclimate, seafloor morphology, urban forest ecosystems, real estate appraisal, inundation mapping, and solar potential analysis. Note de contenu : - Vis-NIR Spectroscopy and Satellite Landsat-8 OLI Data to Map Soil Nutrients in Arid Conditions: A Case Study of the Northwest Coast of Egypt / Elsayed Said Mohamed, A. A El Baroudy, T. El-beshbeshy, M. Emam, A. A. Belal, Abdelaziz Elfadaly, Ali A. Aldosari, Abdelraouf. M. Ali and Rosa Lasaponara
- Investigating Detection of Floating Plastic Litter from Space Using Sentinel-2 Imagery / Kyriacos Themistocleous, Christiana Papoutsa, Silas Michaelides and Diofantos Hadjimitsis
- A New Approach for Understanding Urban Microclimate by Integrating Complementary Predictors at Different Scales in Regression and Machine Learning Models /8 Lucille Alonso and Florent Renard
- Automatic Pattern Recognition of Tectonic Lineaments in Seafloor Morphology to Contribute in the Structural Analysis of Potentially Hydrocarbon-Rich Areas / Eleni Kokinou and Costas Panagiotakis
- Integrating Remote Sensing and Street View Images to Quantify Urban Forest Ecosystem Services / Elena Barbierato, Iacopo Bernetti, Irene Capecchi and Claudio Saragosa
- Sensitivity Analysis of Machine Learning Models for the Mass Appraisal of Real Estate. Case Study of Residential Units in Nicosia, Cyprus / Thomas Dimopoulos, Nikolaos P. Bakas
- Automatic Inundation Mapping Using Sentinel-2 Data Applicable to Both Camargue and Donana Biosphere Reserves / Georgios A. Kordelas, Ioannis Manakos, Gaëtan Lefebvre and Brigitte Poulin
- The Application of LiDAR Data for the Solar Potential Analysis Based on Urban 3D Model / I˜naki Prieto, Jose Luis Izkara and Elena UsobiagaNuméro de notice : 26796 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE/URBANISME Nature : Recueil / ouvrage collectif DOI : 10.3390/books978-3-0365-2326-2 En ligne : https://doi.org/10.3390/books978-3-0365-2326-2 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100057
Titre : Advanced sensors for real-time monitoring applications Type de document : Monographie Auteurs : Olga Korostynska, Éditeur scientifique ; Alex Mason, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2021 Importance : 350 p. Format : 16 x 23 cm ISBN/ISSN/EAN : 978-3-0365-0427-8 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] capteur actif
[Termes IGN] capteur imageur
[Termes IGN] capteur ultrasonore
[Termes IGN] étalonnage de capteur (imagerie)
[Termes IGN] surveillance
[Termes IGN] temps réelRésumé : (éditeur) It is impossible to imagine the modern world without sensors, or without real-time information about almost everything—from local temperature to material composition and health parameters. We sense, measure, and process data and act accordingly all the time. In fact, real-time monitoring and information is key to a successful business, an assistant in life-saving decisions that healthcare professionals make, and a tool in research that could revolutionize the future. To ensure that sensors address the rapidly developing needs of various areas of our lives and activities, scientists, researchers, manufacturers, and end-users have established an efficient dialogue so that the newest technological achievements in all aspects of real-time sensing can be implemented for the benefit of the wider community. This book documents some of the results of such a dialogue and reports on advances in sensors and sensor systems for existing and emerging real-time monitoring applications. Note de contenu : 1- Real-time water quality monitoring with chemical sensors
2- Body condition score estimation based on regression analysis using a 3D camera
3- Wireless module for nondestructive testing/structural health monitoring applications based on solitary waves
4- Quantified activity measurement for medical use in movement disorders through IR-UWB radar sensor
5- Pre-pressure optimization for ultrasonic motors based on multi-sensor fusion
6- On-line monitoring of pipe wall thinning by a high temperature ultrasonic waveguide system at the flow accelerated corrosion proof facility
7- A low-cost continuous turbidity monitor
8- Laboratory calibration and field validation of soil water content and salinity measurements using the 5TE sensor
9- Quantitative analysis of elements in fertilizer using laser-induced breakdown spectroscopy coupled with support vector regression model
10- Univariate and multivariate analysis of phosphorus element in fertilizers using laser-induced breakdown spectroscopy
11- The efficiency of color space channels to quantify color and color intensity change in liquids, pH strips, and lateral flow assays with smartphones
12- An innovative ultrasonic apparatus and technology for diagnosis of freeze-drying process
13- Temperature and strain correlation of bridge parallel structure based on vibrating wire strain sensor
14- Train hunting related fast degradation of a railway crossing—condition monitoring and numerical verification
15- Correlation analysis and verification of railway crossing condition monitoring
16- A novel monitoring approach for train tracking and incursion detection in underground structures based on ultra-weak FBG sensing array
17- Digital approach to rotational speed measurement using an electrostatic sensor
18- Multi-factor operating condition recognition using 1D convolutional long short-term network
19- Comprehensive improvement of the sensitivity and detectability of a large-aperture electromagnetic wear particle detector
20- Analysis of satellite compass error’s spectrumNuméro de notice : 28598 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Recueil / ouvrage collectif DOI : 10.3390/books978-3-0365-0427-8 En ligne : https://doi.org/10.3390/books978-3-0365-0427-8 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99377
Titre : Advances in modeling and management of urban water networks Type de document : Monographie Auteurs : Enrico Creaco, Éditeur scientifique ; Alberto Campisano, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2021 Importance : 290 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-03943-790-0 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] algorithme génétique
[Termes IGN] canalisation
[Termes IGN] eau pluviale
[Termes IGN] écoulement des eaux
[Termes IGN] gestion de l'eau
[Termes IGN] modèle de simulation
[Termes IGN] modèle hydrographique
[Termes IGN] optimisation (mathématiques)
[Termes IGN] planification urbaine
[Termes IGN] réseau d'assainissement
[Termes IGN] réseau de distribution d'eau
[Termes IGN] réseau de drainage
[Termes IGN] réseau neuronal artificiel
[Termes IGN] réseau technique urbain
[Termes IGN] système d'information géographiqueRésumé : (éditeur) The Special Issue on Advances in Modeling and Management of Urban Water Networks (UWNs) explores four important topics of research in the context of UWNs: asset management, modeling of demand and hydraulics, energy recovery, and pipe burst identification and leakage reduction. In the first topic, the multi-objective optimization of interventions on the network is presented to find trade-off solutions between costs and efficiency. In the second topic, methodologies are presented to simulate and predict demand and to simulate network behavior in emergency scenarios. In the third topic, a methodology is presented for the multi-objective optimization of pump-as-turbine (PAT) installation sites in transmission mains. In the fourth topic, methodologies for pipe burst identification and leakage reduction are presented. As for the urban drainage systems (UDSs), the two explored topics are asset management, with a system upgrade to reduce flooding, and modeling of flow and water quality, with analyses on the transition from surface to pressurized flow, impact of water use reduction on the operation of UDSs, and sediment transport in pressurized pipes. The Special Issue also includes one paper dealing with the hydraulic modeling of an urban river with a complex cross-section. Note de contenu : 1- Advances in modeling and management of urban water networks
2- Cost–benefit prediction of asset management actions on water distribution networks
3- Nonlinear dynamic modeling of urban water consumption using chaotic approach (case study: City of Kelowna)
4- Hydraulic simulation and analysis of an urban center’s aqueducts using emergency scenarios for network operation: The case of Thessaloniki city in Greece
5- A bi-objective approach for optimizing the installation of PATs in systems of transmission mains
6- Geospatial information system-based modeling approach for leakage management in urban water distribution networks
7- Pattern recognition and clustering of transient pressure signals for burst location
8- Application of rehabilitation and active pressure control strategies for leakage reduction in a case-study network
9- An improved genetic algorithm for optimal layout of flow meters and valves in water network partitioning
10- Urban drainage network rehabilitation considering storm tank installation and pipe substitution
11- Multi-objective optimization for urban drainage or sewer networks rehabilitation through pipes substitution and storage tanks installation
12- Suppress numerical oscillations in transient mixed flow simulations with a modified HLL solver
13- A stochastic model to predict flow, nutrient and temperature changes in a sewer under water conservation scenarios
14- Sediment transport in sewage pressure pipes, Part I: Continuous determination of settling and erosion characteristics by in-situ TSS monitoring inside a pressure pipe in Northern Germany
15- Sediment transport in sewage pressure pipes, Part II: 1 D numerical simulation
16- Simulating flow of an urban river course with complex cross sections based on the MIKE21 FM modelNuméro de notice : 28446 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Recueil / ouvrage collectif DOI : 10.3390/books978-3-03943-790-0 En ligne : https://doi.org/10.3390/books978-3-03943-790-0 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98913
Titre : Applications of Internet of Things Type de document : Monographie Auteurs : Chi-Hua Chen, Éditeur scientifique ; Kuen-Rong Lo, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2021 Importance : 162 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-0365-1193-1 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Intelligence artificielle
[Termes IGN] analyse de groupement
[Termes IGN] apprentissage automatique
[Termes IGN] géopositionnement
[Termes IGN] informatique en nuage
[Termes IGN] internet des objets
[Termes IGN] service fondé sur la position
[Termes IGN] système de transport intelligent
[Termes IGN] téléphonie mobile
[Termes IGN] trafic routier
[Termes IGN] vitesseRésumé : (auteur) This book introduces the Special Issue entitled “Applications of Internet of Things”, of ISPRS International Journal of Geo-Information. Topics covered in this issue include three main parts: (I) intelligent transportation systems (ITSs), (II) location-based services (LBSs), and (III) sensing techniques and applications. Three papers on ITSs are as follows: (1) “Vehicle positioning and speed estimation based on cellular network signals for urban roads,” by Lai and Kuo; (2) “A method for traffic congestion clustering judgment based on grey relational analysis,” by Zhang et al.; and (3) “Smartphone-based pedestrian’s avoidance behavior recognition towards opportunistic road anomaly detection,” by Ishikawa and Fujinami. Three papers on LBSs are as follows: (1) “A high-efficiency method of mobile positioning based on commercial vehicle operation data,” by Chen et al.; (2) “Efficient location privacy-preserving k-anonymity method based on the credible chain,” by Wang et al.; and (3) “Proximity-based asynchronous messaging platform for location-based Internet of things service,” by Gon Jo et al. Two papers on sensing techniques and applications are as follows: (1) “Detection of electronic anklet wearers’ groupings throughout telematics monitoring,” by Machado et al.; and (2) “Camera coverage estimation based on multistage grid subdivision,” by Wang et al. Note de contenu : 1- Vehicle positioning and speed estimation based on cellular network signals for urban roads
2- A method for traffic congestion clustering judgment based on grey relational analysis
3- Smartphone-based pedestrian’s avoidance behavior recognition towards opportunistic road
anomaly detection
4- A high-efficiency method of mobile positioning based on commercial vehicle operation data
5- Efficient location privacy-preserving k-anonymity method based on the credible chain
6- Proximity-based asynchronous messaging platform for location-based Internet of
Things service
7- Detection of electronic anklet wearers’ groupings throughout telematics monitoring
8- Camera coverage estimation based on multistage grid subdivisionNuméro de notice : 28650 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE/SOCIETE NUMERIQUE Nature : Recueil / ouvrage collectif DOI : 10.3390/books978-3-0365-1193-1 En ligne : https://doi.org/10.3390/books978-3-0365-1193-1 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99766 Applications of remote sensing data in mapping of forest growing stock and biomass / Jose Aranha (2021)
Titre : Applications of remote sensing data in mapping of forest growing stock and biomass Type de document : Monographie Auteurs : Jose Aranha, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2021 Importance : 276 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-0365-0569-5 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] apprentissage automatique
[Termes IGN] biomasse aérienne
[Termes IGN] capital sur pied
[Termes IGN] carte forestière
[Termes IGN] Chine
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] données lidar
[Termes IGN] foresterie
[Termes IGN] forêt boréale
[Termes IGN] image captée par drone
[Termes IGN] image Landsat-OLI
[Termes IGN] image radar moirée
[Termes IGN] image Sentinel-MSI
[Termes IGN] image SPOT 6
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] Pinus massoniana
[Termes IGN] puits de carbone
[Termes IGN] service écosystémique
[Termes IGN] système d'information géographique
[Termes IGN] ThaïlandeRésumé : (éditeur) This Special Issue (SI), entitled "Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass”, resulted from 13 peer-reviewed papers dedicated to Forestry and Biomass mapping, characterization and accounting. The papers' authors presented improvements in Remote Sensing processing techniques on satellite images, drone-acquired images and LiDAR images, both aerial and terrestrial. Regarding the images’ classification models, all authors presented supervised methods, such as Random Forest, complemented by GIS routines and biophysical variables measured on the field, which were properly georeferenced. The achieved results enable the statement that remote imagery could be successfully used as a data source for regression analysis and formulation and, in this way, used in forestry actions such as canopy structure analysis and mapping, or to estimate biomass. This collection of papers, presented in the form of a book, brings together 13 articles covering various forest issues and issues in forest biomass calculation, constituting an important work manual for those who use mixed GIS and RS techniques. Note de contenu : 1- Finer resolution estimation and mapping of mangrove biomass using UAV LiDAR and WorldView-2 data
2- Nondestructive estimation of the above-ground biomass of multiple tree species in boreal forests of China using Terrestrial Laser Scanning
3- Estimating forest aboveground carbon storage in Hang-Jia-Hu using Landsat TM/OLI data and random morest Model
4- Influence of variable selection and forest type on forest aboveground biomass estimation using machine learning algorithms
5- Comparative analysis of seasonal Landsat 8 images for forest aboveground biomass estimation in a subtropical forest
6- Estimating urban vegetation biomass from Sentinel-2A image data
7- Estimation of forest biomass in Beijing (China) using multisource remote sensing and forest inventory data
8- Spatially explicit analysis of trade-offs and synergies among multiple ecosystem services in Shaanxi Valley basin
9- Influence of site-specific conditions on estimation of forest above ground biomass from airborne laser scanning
10- Multi-sensor prediction of stand volume by a hybrid model of support vector machine for regression kriging
11- Applying LiDAR to quantify the plant area index along a successional gradient in a tropical forest of Thailand
12- Shrub biomass estimates in former burnt areas using Sentinel 2 images processing and classification
13- Evaluation of different algorithms for estimating the growing stock volume of pinus massoniana plantations using spectral and spatial information from a SPOT6 imageNuméro de notice : 15305 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Recueil / ouvrage collectif DOI : 10.3390/books978-3-0365-0569-5 En ligne : https://doi.org/10.3390/books978-3-0365-0569-5 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99903
