Détail de l'éditeur
Springer Nature
Commentaire :
Evolution de Springer après fusion avec Nature publishing en 2016
Collections rattachées :
|
Documents disponibles chez cet éditeur (42)
Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externes
Titre : Open mapping towards sustainable development goals : Voices of youthmappers on community engaged scholarship Type de document : Monographie Auteurs : Patricia Solís, Éditeur scientifique ; Marcela Zeballos, Éditeur scientifique Editeur : Springer Nature Année de publication : 2023 Importance : 382 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-031-05182-1 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] Afrique occidentale
[Termes IGN] approche participative
[Termes IGN] Asie (géographie politique)
[Termes IGN] cartographe
[Termes IGN] cartographie thématique
[Termes IGN] catastrophe naturelle
[Termes IGN] changement climatique
[Termes IGN] développement durable
[Termes IGN] données localisées
[Termes IGN] eau
[Termes IGN] édition en libre accès
[Termes IGN] formation
[Termes IGN] géopolitique
[Termes IGN] OpenStreetMap
[Termes IGN] universitéRésumé : (éditeur) This collection amplifies the experiences of some of the world’s young people who are working to address SDGs using geospatial technologies and multi-national collaboration. Authors from every region of the world who have emerged as leaders in the YouthMappers movement share their perspectives and knowledge in an accessible and peer-friendly format. YouthMappers are university students who create and use open mapping for development and humanitarian purposes. Their work leverages digital innovations - both geospatial platforms and communications technologies - to answer the call for leadership to address sustainability challenges. The book conveys a sense of robust knowledge emerging from formal studies or informal academic experiences - in the first-person voices of students and recent graduates who are at the forefront of creating a new map of the world. YouthMappers use OpenStreetMap as the foundational sharing mechanism for creating data together. Authors impart the way they are learning about themselves, about each other, about the world. They are developing technology skills, and simultaneously teaching the rest of the world about the potential contributions of a highly connected generation of emerging world leaders for the SDGs. The book is timely, in that it captures a pivotal moment in the trajectory of the YouthMappers movement’s ability to share emerging expertise, and one that coincides with a pivotal moment in the geopolitical history of planet earth whose inhabitants need to hear from them. Most volumes that cover the topic of sustainability in terms of youth development are written by non-youth authors. Moreover, most are written by non-majoritarian, entrenched academic scholars. This book instead puts forward the diverse voices of students and recent graduates in countries where YouthMappers works, all over the world. Authors cover topics that range from water, agriculture, food, to waste, education, gender, climate action and disasters from their own eyes in working with data, mapping, and humanitarian action, often working across national boundaries and across continents. To inspire readers with their insights, the chapters are mapped to the United Nations 17 Sustainable Development Goals (SDGs) in ways that connect a youth agenda to a global agenda. With a preface written by Carrie Stokes, Chief Geographer and GeoCenter Director, United States Agency for International Development (USAID). This is an open access book. Note de contenu : 1- Introduction
Part I- Mapping for the goals on poverty, hunger, health, education, gender, water, and energy
2- Open data addressing challenges associated with informal settlements in the global South
3- Leveraging spatial technology for agricultural intensification to address hunger in Ghana
4- Rural household food insecurity and child malnutrition in Northern Ghana
5- Where is the closest health clinic? YouthMappers map their communities before and during the COVID-19 pandemic
6- Cross-continental youthmappers action to fight schistosomiasis transmission in Senegal
7- Understanding youthmappers’ contributions to building resilient communities in Asia
8- Activating education for sustainable development goals through youthmappers
9- Seeing the world through maps: An inclusive and youth-oriented approach
10- Youth engagement and the water–energy–land nexus in Costa Rica
11- Power grid mapping in West Africa
12- Mapping access to electricity in urban and rural Nigeria
Part II- Youth action on work, leadership, innovation, inequality, cities, production and land
13- Stories from students building sustainability through transfer of leadership
14- Drones for good: Mapping out the SDGs using innovative technology in Malawi
15- Assessing youthmappers contributions to the generation of open geospatial data in Africa
16- Mapping invisible and inaccessible areas of Brazilian cities to reduce inequalities
17- Visualizing youthMappers’ contributions to environmental resilience in Latin AmericaNuméro de notice : 24082 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Recueil / ouvrage collectif DOI : 10.1007/978-3-031-05182-1 En ligne : https://doi.org/10.1007/978-3-031-05182-1 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102333 Estimation of Lesser Antilles vertical velocity fields using a GNSS-PPP software comparison / Pierre Sakic-Kieffer (2022)
Titre : Estimation of Lesser Antilles vertical velocity fields using a GNSS-PPP software comparison Type de document : Article/Communication Auteurs : Pierre Sakic-Kieffer, Auteur ; Benjamin Männel, Auteur ; Markus Bradke, Auteur ; et al., Auteur Editeur : Springer Nature Année de publication : 2022 Conférence : IAG 2019, General Assembly 08/07/2019 18/07/2019 Montreal Canada OA proceedings Importance : pp 169 - 180 Format : 16 x 24 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale
[Termes IGN] Antilles (îles des)
[Termes IGN] champ de vitesse
[Termes IGN] données GNSS
[Termes IGN] positionnement ponctuel précis
[Termes IGN] série temporelle
[Termes IGN] subsidenceRésumé : (auteur) Vertical land motion in insular areas is a crucial parameter to estimate the relative sea-level variations which impact coastal populations and activities. In subduction zones, it is also a relevant proxy to estimate the locking state of the plate interface. This motion can be measured using Global Navigation Satellite Systems (GNSS), such as the Global Positioning System (GPS). However, the influence of the processing software and the geodetic products (orbits and clock offsets) used for the solution remains barely considered for geophysics studies. In this study, we process GNSS observations of Guadeloupe and Martinique network (Lesser Antilles). It consists of 40 stations over a period of 18 years for the oldest site. We provide an updated vertical velocity field determined with two different geodetic software, namely EPOS (Gendt et al, GFZ analysis center of IGS–Annual Report. IGS 1996 Annual Report, pp 169–181, 1998) and GINS (Marty et al, GINS: the CNES/GRGS GNSS scientific software. In: 3rd International colloquium scientific and fundamental aspects of the Galileo programme, ESA proceedings WPP326, vol 31, pp 8–10, 2011) using their Precise Point Positioning modes. We used the same input models and orbit and clock offset products to maintain a maximum of consistency, and then compared the obtained results to get an estimation of the time series accuracy and the software influence on the solutions. General consistency between the solutions is noted, but significant velocity differences exist (at the mm/yr level) for some stations. Numéro de notice : C2019-079 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://link.springer.com/chapter/10.1007/1345_2020_101 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102747
Titre : Ethics of artificial intelligence : Case studies and options for addressing ethical challenges Type de document : Monographie Auteurs : Bernd Carsten Stahl, Auteur ; Doris Schroeder, Auteur ; Rowena Rodrigues, Auteur Editeur : Springer Nature Année de publication : 2022 Importance : 116 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-031-17040-9 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Intelligence artificielle
[Termes IGN] droit
[Termes IGN] éthique
[Termes IGN] manipulation de données
[Termes IGN] protection de la vie privée
[Termes IGN] sécuritéRésumé : (éditeur) This open access collection of AI ethics case studies is the first book to present real-life case studies combined with commentaries and strategies for overcoming ethical challenges. Case studies are one of the best ways to learn about ethical dilemmas and to achieve insights into various complexities and stakeholder perspectives. Given the omnipresence of AI ethics in academic, policy and media debates, the book will be suitable for a wide range of audiences, from scholars of different disciplines (e.g. AI science, ethics, politics, philosophy, economics) to policy-makers, lobbying NGOs, teachers and the educated public. Note de contenu : 1- The ethics of artificial intelligence: An introduction
2- Unfair and illegal discrimination
3- Privacy
4- surveillance capitalism
5- manipulation
6- Right to life, liberty and security of persons
7- Dignity
8- AI for good and the SDGs
9- The Ethics of artificial intelligence: A conclusionNuméro de notice : 24099 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE Nature : Monographie DOI : 10.1007/978-3-031-17040-9 En ligne : https://doi.org/10.1007/978-3-031-17040-9 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102574 Italian National Forest Inventory: Methods and results of the third survey / Patrizia Gasparini (2022)
Titre : Italian National Forest Inventory: Methods and results of the third survey Titre original : Inventario Nazionale delle Foreste e dei serbatoi forestali di carbonio : Metodi e risultati della terza indagine Type de document : Monographie Auteurs : Patrizia Gasparini, Auteur ; Lucio Di Cosmo, Auteur ; Antonio Floris, Auteur ; Davide De Laurentis, Auteur Editeur : Springer Nature Année de publication : 2022 Importance : 576 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-030-98678-0 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] biodiversité végétale
[Termes IGN] changement climatique
[Termes IGN] défoliation
[Termes IGN] diamètre à hauteur de poitrine
[Termes IGN] exploitation forestière
[Termes IGN] gestion forestière durable
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] Italie
[Termes IGN] occupation du sol
[Termes IGN] placette d'échantillonnage
[Termes IGN] politique forestière
[Termes IGN] protection des forêts
[Termes IGN] puits de carbone
[Termes IGN] régénération (sylviculture)
[Termes IGN] santé des forêts
[Termes IGN] site Natura 2000
[Termes IGN] statistiques
[Termes IGN] utilisation du sol
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) This open access book deals with the methods and the results of the third Italian national forest inventory (INFC2015). Arma dei Carabinieri is entrusted with the realisation of the National Forest Inventory and with the decisions about the aims of the survey and data treatment. National forest inventories produce statistically based information on forests over country areas. Such information is used either at subnational or at supranational level in a great number of spheres and processes, included possibility to depict the status of the world forests. Italy conducted its first forest inventory in 1985 and in 2001 a permanent national forest inventory was launched to have periodically updated statistics. Due to the growing concern about the environment and especially the climate change, estimating forests carbon pools was a stated main objective and it was accordingly named Italian National Inventory of Forest and Forest Carbon Pools (INFC). The book begins with a description of the general organisation, the definitions, the methods and the estimation procedures. It proceeds showing the main estimates produced by INFC2015, in tables that are given in the book chapters. The estimates are presented through texts that introduce the subject matter, explain the way the related variables were surveyed and comment on the main outcomes with the help of graphics. The estimates presented include forest area, management and production, biodiversity and protection, forest health, protective and socio-economics functions. Role of forest in the carbon balance was analysed in a specific Chapter, as this is important for its role in the climate change mitigation. The book ends providing an understanding of the current dynamics of Italian forests by comparing the estimates obtained from INFC2005 and INFC2015, the last two national surveys. Note de contenu : 1- The Italian Forest Inventory in brief
2- Definitions and sampling design
3- Land use and land cover photointerpretation
4- Field assessment-survey protocols and data collection
5- Procedures for the estimation of forest inventory quantities
6- Plot level estimation procedures and models
7- Area and characteristics of Italian forests
8- Forest management and productive function
9- Biodiversity and protected wooded lands
10- Forest health
11- Protective function and primary designated management objective
12- Forest carbon stock
13- Changes of Italian forests over time captured by the National Forest InventoriesNuméro de notice : 24084 Affiliation des auteurs : non IGN Thématique : FORET Nature : Monographie DOI : 10.1007/978-3-030-98678-0 En ligne : https://doi.org/10.1007/978-3-030-98678-0 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102410
Titre de série : Proceedings of the 1st Conference of the European Association on Quality Control of Bridges and Structures : EUROSTRUCT 2021 Titre : An automated machine learning-based approach for structural novelty detection based on SHM Type de document : Article/Communication Auteurs : Nicolas Manzini, Auteur ; Ndeye Mar, Auteur ; Franziska Schmidt, Auteur ; Jean-François Bercher, Auteur ; André Orcesi, Auteur ; Pierre Marchand, Auteur ; Julien Gazeaux Editeur : Springer Nature Année de publication : 2022 Collection : Lecture Notes in Civil Engineering num. 200 Projets : 2-Pas d'info accessible - article non ouvert / Conférence : EUROSTRUCT 2021, 1st Conference of the European Association on Quality Control of Bridges and Structures 29/08/2021 01/09/2021 Padoue Italie Proceedings Springer Importance : pp 1180 - 1189 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale
[Termes IGN] apprentissage automatique
[Termes IGN] détection d'anomalie
[Termes IGN] ouvrage d'art
[Termes IGN] pont
[Termes IGN] régression multiple
[Termes IGN] réseau de capteurs
[Termes IGN] résidu
[Termes IGN] surveillance d'ouvrageRésumé : (auteur) One major goal of structural health monitoring (SHM) is to detect, and possibly locate, quantify or predict damage on structures. Without detailed knowledge of structural mechanical behavior, data analysis is a complex task and operational monitoring is often limited to the use of more or less arbitrary thresholds. Data-driven techniques, which rely on a statistical analysis of data, have encountered a growing interest over the past two decades. In parallel, SHM is now increasingly considered for several types of structures with the development of low-cost sensors and IoT. In this context, this paper proposes an approach based on multiple automated machine learning-based models for novelty detection and location in monitoring data. This study focuses on the monitoring of large structures with multiple sensors. For each sensor, multiple regression models (based on neural networks) are generated using the same training set, with various input data: internal temperature, environmental conditions, or data from other sensors deployed on the structure. Anomalies are then identified in the dataset based on residuals between model outputs and in situ data. For a given sensor, residuals of all models are then compiled to produce an anomaly indicator. This paper presents some of the results obtained on data acquired from the monitoring of a large concrete bridge. Some anomalies are simulated and added to the dataset to demonstrate the detection performance of the proposed approach. Numéro de notice : C2021-086 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Thématique : POSITIONNEMENT Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1007/978-3-030-91877-4_134 Date de publication en ligne : 12/12/2021 En ligne : https://doi.org/10.1007/978-3-030-91877-4_134 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99378 PermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalink
