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Tephra mass eruption rate from ground-based X-band and L-band microwave radars during the November 23, 2013, Etna Paroxysm / Frank S. Marzano in IEEE Transactions on geoscience and remote sensing, vol 58 n° 5 (May 2020)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 58 n° 5 (May 2020) . - pp 3314 - 3327 Titre : Tephra mass eruption rate from ground-based X-band and L-band microwave radars during the November 23, 2013, Etna Paroxysm Type de document : Article/Communication Auteurs : Frank S. Marzano, Auteur ; Luigi Mereu, Auteur ; Simona Scollo, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 3314 - 3327 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Télédétection [Termes descripteurs IGN] bande L [Termes descripteurs IGN] bande X [Termes descripteurs IGN] capteur terrestre [Termes descripteurs IGN] éruption volcanique [Termes descripteurs IGN] Etna (volcan) [Termes descripteurs IGN] lave [Termes descripteurs IGN] masse [Termes descripteurs IGN] micro-onde [Termes descripteurs IGN] radar à antenne synthétique [Termes descripteurs IGN] rayonnement infrarouge thermique [Termes descripteurs IGN] surveillance géologique [Termes descripteurs IGN] volcanologie Résumé : (auteur) The morning of November 23, 2013, a lava fountain formed from the New South-East Crater (NSEC) of Mt. Etna (Italy), one of the most active volcanoes in Europe. The explosive activity was observed from two ground-based radars, the X-band polarimetric scanning and the L-band Doppler fixed-pointing, as well as from a thermal-infrared camera. Taking advantage of the capability of the microwave radars to probe the volcanic plume and extending the volcanic ash radar retrieval (VARR) methodology, we estimate the mass eruption rate (MER) using three main techniques, namely surface-flux approach (SFA), mass continuity-based approach (MCA), and top-plume approach (TPA), as well as provide a quantitative evaluation of their uncertainty. Estimated exit velocities are between 160 and 230 m/s in the paroxysmal phase. The intercomparison between the SFA, MCA, and TPA methods, in terms of retrieved MER, shows a fairly good consistency with values up to $2.4\times 10^{6}$ kg/s. The estimated total erupted mass (TEM) is $3.8\times 10^{9}$ , $3.9\times 10^{9}$ , and $4.7\times 10^{9}$ kg for SFA with L-band, X-band, and thermal-infrared camera, respectively. Estimated TEM is between $1.7\times 10^{9}$ kg and $4.3\times 10^{9}$ for TPA methods and $3.9\times 10^{9}$ kg for the MCA technique. The SFA, MCA, and TPA results for TEM are in fairly good agreement with independent evaluations derived from ground collection of tephra deposit and estimated to be between $1.3\,\,\pm \,\,1.1\times 10^{9}$ and $5.7\times 10^{9}$ kg. This article shows that complementary strategies of ground-based remote sensing systems can provide an accurate real-time monitoring of a volcanic explosive activity. Numéro de notice : A2020-236 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2019.2953167 date de publication en ligne : 23/12/2019 En ligne : https://doi.org/10.1109/TGRS.2019.2953167 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94982 [article]

UAV sensors for environmental monitoring / Felipe Gonzalez Toro (2018)  

Public Titre : UAV sensors for environmental monitoring Type de document : Monographie Auteurs : Felipe Gonzalez Toro, Editeur scientifique ; Antonios Tsourdos, Editeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2018 Importance : 660 p. Format : 17 x 25 cm ISBN/ISSN/EAN : 978-3-03842-753-7 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] accident de la route [Termes descripteurs IGN] biodiversité [Termes descripteurs IGN] capteur aérien [Termes descripteurs IGN] capteur terrestre [Termes descripteurs IGN] détection de cible [Termes descripteurs IGN] filtre passe-bande [Termes descripteurs IGN] image captée par drone [Termes descripteurs IGN] image hyperspectrale [Termes descripteurs IGN] image optique [Termes descripteurs IGN] image radar moirée [Termes descripteurs IGN] instrument embarqué [Termes descripteurs IGN] photogrammétrie aérienne [Termes descripteurs IGN] prévention des risques [Termes descripteurs IGN] surveillance écologique [Termes descripteurs IGN] surveillance hydrologique Résumé : (éditeur) The rapid development and growth of UAVs as a remote sensing platform, as well as advances in the miniaturization of instrumentation and data systems, are catalyzing a renaissance in remote sensing in a variety of fields and disciplines from precision agriculture to ecology, atmospheric research, and disaster response. This Special Issue was open for submissions that highlight advances in the development and use of sensors deployed on UAVs. Topics include, but were not limited, to: - Optical, multi-spectral, hyperspectral, laser, and optical SAR technologies - Gas analyzers and sensors - Artificial intelligence and data mining based strategies from UAVs - UAV onboard data storage, transmission, and retrieval - Collaborative strategies and mechanisms to control multiple UAVs and sensor networks - UAV sensor applications: precision agriculture; pest detection, forestry, mammal species tracking search and rescue; target tracking, the monitoring of the atmosphere; chemical, biological, and natural disaster phenomena; fire prevention, flood prevention; volcanic monitoring, pollution monitoring, micro-climates and land use Note de contenu : Preface 1- UAV-based photogrammetry and integrated technologies for architectural applications—methodological strategies for the after-quake survey of vertical structures in Mantua (Italy) 2- Towards the development of a low cost airborne sensing system to monitor dust particles after blasting at open-pit mine sites 3- Multi-UAV routing for area coverage and remote sensing with minimum time 4- UAV deployment exercise for mapping purposes: evaluation of emergency response applications 5- Automated identification of river hydromorphological features using UAV high resolution aerial imagery 6- Autonomous aerial refueling ground test demonstration—a sensor-in-the-loop, non-tracking method 7- A new calibration method using low cost MEM IMUs to verify the performance of UAV-borne MMS payloads 8- Adaptive environmental source localization and tracking with unknown permittivity and pathloss coefficients 9- Vision-based detection and distance estimation of micro unmanned aerial vehicles 10- Unmanned aerial vehicles (UAVs) and artificial intelligence revolutionizing wildlife monitoring and conservation 11- UAVs task and motion planning in the presence of obstacles and prioritized targets 12- Towards the development of a smart flying sensor: Illustration in the field of precision agriculture 13- Flight test result for the ground-based radio navigation system sensor with an unmanned air vehicle 12- Multisensor super resolution using directionally-adaptive regularization for UAV images 13- UAV control on the basis of 3D landmark bearing-only observations 14- Cooperative surveillance and pursuit using unmanned aerial vehicles and unattended ground sensors 15- A multispectral image creating method for a new airborne four-camera system with different bandpass filters 16- Vision and control for UAVs: A survey of general methods and of inexpensive platforms for infrastructure inspection 17- Feasibility of using synthetic aperture radar to aid UAV navigation 18- Towards an autonomous vision-based unmanned aerial system against wildlife poachers 19- Formation flight of multiple UAVs via onboard sensor information sharing 20- Mini-UAV based sensory system for measuring environmental variables in greenhouses 21- Mini-UAV based sensory system for measuring environmental variables in greenhouses 22- Dual-stack single-radio communication architecture for UAV acting as a mobile node to collect data in WSNs 23- Development and evaluation of a UAV-photogrammetry system for precise 3D environmental modeling 24- Prototyping a GNSS-based passiveRadar for UAVs: An instrument to classify the waterContent feature of lands 25- Enabling UAV navigation with sensor and environmental uncertainty in cluttered and GPS-denied environments 26- UAV-based estimation of carbon exports from heterogeneous soil landscapes—a case study from the carboZALF experimental area 27- Wavelength-adaptive dehazing using histogram merging-based classification for UAV images 28- A Space-Time Network-Based Modeling Framework for Dynamic Unmanned Aerial Vehicle Routing in Traffic Incident Monitoring Applications Numéro de notice : 25930 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Monographie En ligne : https://doi.org/10.3390/books978-3-03842-754-4 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96199

Georeferencing of condition information from railway infrastructure / Lars Johannes in Navigation aérienne, maritime, spatiale, terrestre, vol 63 n° 250 (mai - août 2016)

Public [article]  inNavigation aérienne, maritime, spatiale, terrestre > vol 63 n° 250 (mai - août 2016) . - pp 34 - 45 Titre : Georeferencing of condition information from railway infrastructure Titre original : Géoréférencement des conditions d'information relatives à une infrastructure ferroviaire Type de document : Article/Communication Auteurs : Lars Johannes, Auteur ; Edouardo Almeida, Auteur Année de publication : 2016 Article en page(s) : pp 34 - 45 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes descripteurs IGN] acquisition de données [Termes descripteurs IGN] capteur terrestre [Termes descripteurs IGN] géoréférencement direct [Termes descripteurs IGN] surveillance d'ouvrage [Termes descripteurs IGN] système de numérisation mobile [Termes descripteurs IGN] voie ferrée Résumé : (Auteur) Les conditions de maintenance préventive des infrastructures ferroviaires réduiront les coûts de maintenance et augmenteront la fiabilité du réseau. Pour atteindre ces objectifs, l'état des voies devra être davantage contrôlé qu'actuellement. Ceci peut être réalisé avec le déploiement de systèmes de senseurs autonomes placés sur les éléments roulants pour effectuer des mesures pendant l'exploitation commerciale. Dans ce cas, il faut pouvoir disposer d'une base de données géoréférencée uniforme et précise, pour lier la périodicité des contrôles et les paramètres de détérioration. Cet article présente un système modulaire et portable de multi senseurs d'acquisition de données sur le matériel roulant, pouvant être utilisé pour le positionnement autant que pour les résultats de contrôle. Les données provenant des différents senseurs ont été acquises sur un site représentatif des tests, et combinés avec le calcul de position. Numéro de notice : A2016-666 Affiliation des auteurs : non IGN Thématique : IMAGERIE/POSITIONNEMENT Nature : Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81897 [article]

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A multi-sensor approach : geohazard management on the Canadian national railway corridor / Ryan Kromer in GIM international [en ligne], vol 29 n° 12 (December 2015)

Public [article]  inGIM international [en ligne] > vol 29 n° 12 (December 2015) . - pp 17 - 19 Titre : A multi-sensor approach : geohazard management on the Canadian national railway corridor Type de document : Article/Communication Auteurs : Ryan Kromer, Auteur ; Jean Hutchinson, Auteur ; Matt Lato, Auteur ; Tom Edwards, Auteur Année de publication : 2015 Article en page(s) : pp 17 - 19 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale [Termes descripteurs IGN] Canada [Termes descripteurs IGN] capteur terrestre [Termes descripteurs IGN] réseau ferroviaire [Termes descripteurs IGN] surveillance d'ouvrage [Termes descripteurs IGN] surveillance géologique Résumé : (auteur) In Western. Canada, substantial lengths of the transportation corridors are located within steep mountainous terrain and deeply incised river valleys. This is also the case for the Canadian National (CN) rail lines, which traverse the Rocky Mountain, the Cascade and Coastal ranges from Edmonton, Alberta, to the ports of Vancouver, British Columbia (BC). Along this corridor the railway infrastructure is exposed to various slope geohazards including landslides, debris slides and rockfalls, ail of which are problematic for the safe and efficient operation of the railway. In a recent case of rock slope failure along the CN rail line in BC, a multi-sensor approach was undertaken to identify other potential threats in the area, to monitor stability of the rock slope during remediation work and to aid in the planning of rock scaling and blasting. Numéro de notice : A2015-829 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79128 [article]

enviroCar: A citizen science platform for analyzing and mapping crowd-sourced car sensor data / Arne Bröring in Transactions in GIS, vol 19 n° 3 (June 2015)  

Public [article]  inTransactions in GIS > vol 19 n° 3 (June 2015) . - pp 362 – 376 Titre : enviroCar: A citizen science platform for analyzing and mapping crowd-sourced car sensor data Type de document : Article/Communication Auteurs : Arne Bröring, Auteur ; Albert Remke, Auteur ; Christophe Stasch, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 362 – 376 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes descripteurs IGN] acquisition de données [Termes descripteurs IGN] capteur terrestre [Termes descripteurs IGN] diagnostic [Termes descripteurs IGN] données localisées des bénévoles [Termes descripteurs IGN] interface web [Termes descripteurs IGN] milieu urbain [Termes descripteurs IGN] réseau de capteurs [Termes descripteurs IGN] trafic routier [Termes descripteurs IGN] véhicule automobile Résumé : (auteur) This article presents the enviroCar platform for collecting geographic data acquired from automobile sensors and openly providing those data for further processing and analysis. By plugging a low-cost On-Board Diagnostics (OBD-II) adapter into a car and using an Android smartphone, various kinds of sensor data measured by today's cars can be collected and uploaded on to the Web. Once available on the Web, these data can be used to monitor traffic and related environmental parameters. We analyse the OBD-II interface and its potential usage for environmental monitoring, e.g. to estimate fuel consumption and resulting inline image emissions, noise emission, and standing times. Next, we present the main contribution of this article, the system design of the enviroCar platform. This system design consists of the enviroCar app and the enviroCar server, which allows for flexible geoprocessing of the uploaded data. We focus in this article on the description of the spatiotemporal RESTful Web Service interface and underlying data model specifically designed for handling the mobile sensor data. Finally, we present application scenarios in which the enviroCar platform can act as a powerful tool, e.g. regarding traffic monitoring and smarter cities (e.g. the detection of pollutant emission hotspots in the city), or towards applications for a quantified self (e.g. monitoring fuel consumption). We started the enviroCar project in 2013 and have been able to attract a growing number of participants since then. In a crowd-funding initiative, enviroCar was successfully funded by volunteers, demonstrating the interest in this platform. Numéro de notice : A2015-678 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern En ligne : http://dx.doi.org/10.1111/tgis.12155 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78304 [article]

In situ calibration of light sensors for long-term monitoring of vegetation / Hongxiao Jin in IEEE Transactions on geoscience and remote sensing, vol 53 n° 6 (June 2015)  

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Error analysis of a mobile terrestrial LiDAR system / M. Leslar in Geomatica [en ligne], vol 68 n° 3 (September 2014)

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Topographic and thermal mapping of volcanic terrain using the AVTIS ground-based 94-GHz dual-mode radar/radiometric imager / D. Macfarlane in IEEE Transactions on geoscience and remote sensing, vol 51 n° 1 Tome 2 (January 2013)  

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Impact of the quality of spatial 3D city models on sensor networks placement optimization / M. Argany in Geomatica, vol 66 n° 4 (December 2012)

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