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Titre : Robotics, AI, and humanity : Science, ethics, and policy Type de document : Monographie Auteurs : Joachim Von Braun, Éditeur scientifique ; Margaret S. Archer, Éditeur scientifique ; Gregory M. Reichberg, Éditeur scientifique ; et al., Auteur Editeur : Springer Nature Année de publication : 2020 ISBN/ISSN/EAN : 978-3-030-54173-6 Note générale : bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Intelligence artificielle
[Termes IGN] apprentissage automatique
[Termes IGN] cerveau
[Termes IGN] classification à base de connaissances
[Termes IGN] cognition
[Termes IGN] conscience
[Termes IGN] émotion
[Termes IGN] éthique
[Termes IGN] finance
[Termes IGN] formation
[Termes IGN] navigation autonome
[Termes IGN] robotiqueRésumé : (éditeur) This open access book examines recent advances in how artificial intelligence (AI) and robotics have elicited widespread debate over their benefits and drawbacks for humanity. The emergent technologies have for instance implications within medicine and health care, employment, transport, manufacturing, agriculture, and armed conflict. While there has been considerable attention devoted to robotics/AI applications in each of these domains, a fuller picture of their connections and the possible consequences for our shared humanity seems needed. This volume covers multidisciplinary research, examines current research frontiers in AI/robotics and likely impacts on societal well-being, human – robot relationships, as well as the opportunities and risks for sustainable development and peace. The attendant ethical and religious dimensions of these technologies are addressed and implications for regulatory policies on the use and future development of AI/robotics technologies are elaborated. Note de contenu : I- Foundational issues in AI and robotics
II- AI and robotics changing the future of society: Work, farming, services, and poverty
III- Robotics, AI, and militarized conflict
IV- AI/robot–human interactions: Regulatory and ethical implicationsNuméro de notice : 28612 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE Nature : Recueil / ouvrage collectif DOI : 10.1007/978-3-030-54173-6 En ligne : https://doi.org/10.1007/978-3-030-54173-6 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99478
Titre : Spatial variability in environmental science : patterns, processes, and analyses Type de document : Monographie Auteurs : John P. Tiefenbacher, Éditeur scientifique ; Davod Poreh, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2020 ISBN/ISSN/EAN : 978-1-83962-461-2 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] aménagement paysager
[Termes IGN] aquaculture
[Termes IGN] azote
[Termes IGN] détection du bâti
[Termes IGN] données environnementales
[Termes IGN] données GNSS
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] données spatiotemporelles
[Termes IGN] écologie forestière
[Termes IGN] forêt
[Termes IGN] ilot thermique urbain
[Termes IGN] littoral
[Termes IGN] photogrammétrie numérique
[Termes IGN] photographie aérienne
[Termes IGN] pollution atmosphérique
[Termes IGN] soufre
[Termes IGN] surveillance météorologique
[Termes IGN] ventRésumé : (Editeur) This book includes eight studies that examine the issue of spatial variability in four areas of the environmental sciences – atmospheric science, geological science, biological science, and landscape science. The topics range from monitoring of wind, the urban heat island, and atmospheric pollution, to coastal geomorphology, landscape planning and forest ecology, the problem of introduced species to regional ecologies, and a technique to improve the identification of human constructions in semi-natural landscapes. A small volume can only offer a small glimpse at the activities of scientists and insights into environmental science, but the array of papers herein offers a unique view of the current scholarship. Note de contenu :
1. Coherent Doppler Lidar for Wind Sensing
2. Low-Key Stationary and Mobile Tools for Probing the Atmospheric UHI Effect
3. Mapping and Estimation of Nitrogen and Sulfur Atmospheric Deposition Fluxes in Central Region of the Mexican Bajio
4. Monitoring Storm Impacts on Sandy Coastlines with UAVs
5. Recent Advances in Coastal Survey Techniques: From GNSS to LiDAR and Digital Photogrammetry - Examples on the Northern Coast of France
6. Spatial and Temporal Variability Regarding Forest: From Tree to the Landscape
7. Ecological and Social Impacts of Aquacultural Introduction to Philippines Waters of Pacific Whiteleg Shrimp Penaeus vannamei
8. High-Resolution Object-Based Building Extraction Using PCA of LiDAR nDSM and Aerial PhotosNuméro de notice : 26692 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE/URBANISME Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.87655 Date de publication en ligne : 21/10/2020 En ligne : https://doi.org/10.5772/intechopen.87655 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99032
Titre : Spationomy : Spatial exploration of economic data and methods of interdisciplinary analytics Type de document : Guide/Manuel Auteurs : Vit Pászto, Éditeur scientifique ; Carsten Jürgens, Éditeur scientifique ; Polona Tominc, Éditeur scientifique ; et al., Auteur Editeur : Springer Nature Année de publication : 2020 Importance : 333p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-030-26626-4 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] acquisition de données
[Termes IGN] analyse multicritère
[Termes IGN] analyse spatiale
[Termes IGN] données socio-économiques
[Termes IGN] exploration de données géographiques
[Termes IGN] finance
[Termes IGN] géographie économique
[Termes IGN] microéconomie
[Termes IGN] modèle conceptuel de données localisées
[Termes IGN] recherche interdisciplinaire
[Termes IGN] régression logistique
[Termes IGN] système d'information géographique
[Termes IGN] veille économiqueRésumé : (éditeur) This open access book is based on 'Spationomy – Spatial Exploration of Economic Data', an interdisciplinary and international project in the frame of ERASMUS+ funded by the European Union. The project aims to exchange interdisciplinary knowledge in the fields of economics and geomatics. For the newly introduced courses, interdisciplinary learning materials have been developed by a team of lecturers from four different universities in three countries. In a first study block, students were taught methods from the two main research fields. Afterwards, the knowledge gained had to be applied in a project. For this international project, teams were formed, consisting of one student from each university participating in the project. The achieved results were presented in a summer school a few months later. At this event, more methodological knowledge was imparted to prepare students for a final simulation game about spatial and economic decision making. In a broader sense, the chapters will present the methodological background of the project, give case studies and show how visualisation and the simulation game works. Numéro de notice : 25973 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Manuel de cours DOI : 10.1007/978-3-030-26626-4 En ligne : https://doi.org/10.1007/978-3-030-26626-4 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96629 SUMAC'20 : Proceedings of the 2nd Workshop on Structuring and Understanding of Multimedia heritAge Contents / Valérie Gouet-Brunet (2020)
Titre : SUMAC'20 : Proceedings of the 2nd Workshop on Structuring and Understanding of Multimedia heritAge Contents Type de document : Actes de congrès Auteurs : Valérie Gouet-Brunet , Auteur ; Margarita Khokhlova , Auteur ; Ronak Kosti, Auteur ; Liming Chen, Auteur ; Xu-Chen Yin, Auteur Editeur : New York [Etats-Unis] : Association for computing machinery ACM Année de publication : 2020 Projets : Alegoria / Gouet-Brunet, Valérie Conférence : SUMAC 2020, 2nd workshop on Structuring and Understanding of Multimedia heritAge Contents 12/10/2020 12/10/2020 en ligne Etats-Unis Proceedings ACM ISBN/ISSN/EAN : 978-1-4503-8155-0 Langues : Anglais (eng) Descripteur : [Termes IGN] conservation du patrimoine
[Termes IGN] descripteur
[Termes IGN] données massives
[Termes IGN] multimedia
[Termes IGN] numérisation de photographie
[Termes IGN] recherche d'image basée sur le contenuRésumé : (auteur) It is our great pleasure to welcome you to SUMAC 2020, the 2nd edition of the ACM workshop on Structuring and Understanding of Multimedia heritAge Contents. The digitization of large quantities of analogue data and the massive production of born-digital documents for many years now provide us with large volumes of varied multimedia data (images, maps, text, video, multi-sensor data, etc.), an important feature of which is that they are cross-domain. "Cross-domain" reflects the fact that these data may have been acquired in very different conditions: different acquisition systems, times and points of view (e.g. a 1962 postcard from the Arc de Triomphe vs. a recent street-view acquisition by mobile mapping of the same monument). These data represent an extremely rich heritage that can be exploited in a wide variety of fields, from SSH to land use and territorial policies, including smart city, urban planning, tourism, creative media and entertainment.
In terms of research in computer science, they address challenging problems related to the diversity and volume of the media across time, the variety of content descriptors (potentially including the time dimension), the veracity of the data, and the different user needs with respect to engaging with this rich material and the extraction of value out of the data. These challenges are reflected in research topics such as multimodal and mixed media search, automatic content analysis, multimedia linking and recommendation, and big data analysis and visualization, where scientific bottlenecks may be exacerbated by the time dimension, which also provides topics of interest such as multimodal time series analysis.Numéro de notice : 17631 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Thématique : IMAGERIE/INFORMATIQUE Nature : Actes nature-HAL : DirectOuvrColl/Actes DOI : 10.1145/3423323 En ligne : https://dl.acm.org/doi/proceedings/10.1145/3423323 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97086 Spatiotemporal variation in the relationship between boreal forest productivity proxies and climate data / Clémentine Ols in Dendrochronologia, vol 58 (December 2019)
[article]
Titre : Spatiotemporal variation in the relationship between boreal forest productivity proxies and climate data Type de document : Article/Communication Auteurs : Clémentine Ols , Auteur ; Ingvil Kålås, Auteur ; Igor Drobyshev, Auteur ; Lars Söderström, Auteur ; Annika Hofgaard, Auteur Année de publication : 2019 Projets : PREREAL / Ali, Ahmed Adam Article en page(s) : n° 125648 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] croissance des arbres
[Termes IGN] données météorologiques
[Termes IGN] données spatiotemporelles
[Termes IGN] écosystème forestier
[Termes IGN] forêt boréale
[Termes IGN] hauteur des arbres
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] Norvège
[Termes IGN] Pinus sylvestris
[Termes IGN] productivité
[Termes IGN] puits de carbone
[Termes IGN] série temporelle
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) The impacts of climate change on high-latitude forest ecosystems are still uncertain. Divergent forest productivity trends have recently been reported both at the local and regional level challenging the projections of boreal tree growth dynamics. The present study investigated (i) the responses of different forest productivity proxies to monthly climate (temperature and precipitation) through space and time; and (ii) the local coherency between these proxies through time at four high-latitude boreal Scots pine sites (coastal and inland) in Norway. Forest productivity proxies consisted of two proxies representing stem growth dynamics (radial and height growth) and one proxy representing canopy dynamics (cumulative May-to-September Normalized Difference Vegetation Index (NDVI)). Between-proxy and climate-proxy correlations were computed over the 1982–2011 period and over two 15-yr sub-periods. Over the entire period, radial growth significantly correlated with current year July temperature, and height growth and cumulative NDVI significantly correlated with previous and current growing season temperatures. Significant climate responses were quite similar across sites, despite some higher sensitivity to non-growing season climate at inland sites. Significant climate-proxy correlations identified over the entire period were temporarily unstable. Local coherency between proxies was generally insignificant. The spatiotemporal instability in climate-proxy correlations observed for all proxies underlines evolving responses to climate and challenges the modelling of forest productivity. The general lack of local coherency between proxies at our four study sites suggests that forest productivity estimations based on a single proxy should be considered with great caution. The combined use of different forest growth metrics may help circumvent uncertainties in capturing responses of forest productivity to climate variability and improve estimations of carbon sequestration by forest ecosystems. Numéro de notice : A2019-618 Affiliation des auteurs : LIF+Ext (2012-2019) Autre URL associée : vers HAL Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.dendro.2019.125648 Date de publication en ligne : 06/11/2019 En ligne : https://doi.org/10.1016/j.dendro.2019.125648 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95346
in Dendrochronologia > vol 58 (December 2019) . - n° 125648[article]Measuring differential access to facilities between population groups using spatial Lorenz curves and related indices / Gordon A. Cromley in Transactions in GIS, Vol 23 n° 6 (November 2019)PermalinkHow do trees respond to species mixing in experimental compared to observational studies? / Stephan Kambach in Ecology and evolution, vol 9 n° 19 (October 2019)PermalinkMapping the wavelength position of mineral features in hyperspectral thermal infrared data / Christoph Hecker in International journal of applied Earth observation and geoinformation, vol 79 (July 2019)PermalinkAudiovisual cartography : Established and new multimedia approaches to represent soundscapes / Dennis Edler in KN, Journal of Cartography and Geographic Information, vol 69 n° 1 (May 2019)PermalinkEffet de la diversité des essences sur la hauteur dominante / Patrick Vallet in Rendez-vous techniques, n° 57 (hiver 2018)PermalinkThe process-based forest growth model 3-PG for use in forest management : A review / Rajit Gupta in Ecological modelling, vol 397 (1 April 2019)PermalinkDévelopper l’Afrique, grâce au recensement des stations GNSS permanentes / Derrick Koome in XYZ, n° 158 (mars 2019)PermalinkLe nivellement de Saint-Germain-en-Laye / Alain Coulomb in XYZ, n° 158 (mars 2019)PermalinkTemporal and spatial high-resolution climate data from 1961 to 2100 for the German National Forest Inventory (NFI) / Helge Dietrich in Annals of Forest Science, vol 76 n° 1 (March 2019)PermalinkEffect of forest structure on stand productivity in Central European forests depends on developmental stage and tree species diversity / Laura Zeller in Forest ecology and management, vol 434 (28 February 2019)PermalinkWhen do dendrometric rules fail? Insights from 20 years of experimental thinnings on sessile oak in the GIS Coop network / Raphaël Trouvé in Forest ecology and management, vol 433 (15 February 2019)PermalinkDe l'agrandissement des exploitations agricoles à la transformation des paysages de bocage : analyse comparative des recompositions foncières et paysagères en Normandie / Thibault Preux (2019)PermalinkCartographie et journalisme / Camille Bressange (2019)PermalinkChallenging deep image descriptors for retrieval in heterogeneous iconographic collections / Dimitri Gominski (2019)PermalinkContribution au développement d’une plateforme web d’analyse réglementaire et de gestion des vols de drones / Yassmine Boudili (2019)PermalinkPermalinkExploitation of hyperspectral data for assessing vegetation health under exposure to petroleum hydrocarbons / Guillaume Lassalle (2019)PermalinkPermalinkPermalinkPermalink