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scientifique

Lessons learned from a VGI initiative for Land Use monitoring / Ana-Maria Olteanu-Raimond (2021)  

Public Titre : Lessons learned from a VGI initiative for Land Use monitoring Type de document : Article/Communication Auteurs : Ana-Maria Olteanu-Raimond , Auteur ; Marie-Dominique Van Damme , Auteur ; Laurent Jolivet, Auteur Editeur : International Cartographic Association ICA - Association cartographique internationale ACI Année de publication : 2021 Collection : Abstracts of the ICA Projets : 1-Pas de projet / Conférence : ICC 2021, 30th ICA international cartographic conference 14/12/2021 18/12/2021 Florence Italie Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] données localisées de référence [Termes IGN] données localisées des bénévoles [Termes IGN] enrichissement sémantique [Termes IGN] mise à jour de base de données [Termes IGN] plateforme collaborative [Termes IGN] surveillance de l'urbanisation [Termes IGN] utilisation du sol Résumé : (auteur) Land Use (LU) mapping and monitoring at fine spatial and temporal resolutions requires many efforts. Remote-sensing based change detection approaches exist (Lu et al., 2014), though use is not trivial and not necessarily related to cover. Considerable interest has then emerged in using Volunteered Geographic Information (VGI) (Goodchild, 2007) as an alternative source of data (Fonte et al., 2013; Fritz et al., 2015). The goal of this paper is to discuss the lessons learned from a VGI data collection initiative which have aimed to collect change and local LU observations (i.e. quarry activity, usage and number of floors of a building, construction in progress) for updating and enriching authoritative LU data. Numéro de notice : C2021-055 Affiliation des auteurs : UGE-LASTIG (2020- ) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/ica-abs-3-225-2021 Date de publication en ligne : 13/12/2021 En ligne : https://doi.org/10.5194/ica-abs-3-225-2021 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99393

Monitoring population dynamics in the Pearl River Delta from 2000 to 2010 / Sisi Yu in Geocarto international, vol 35 n° 14 ([15/10/2020])  

Public [article]  inGeocarto international > vol 35 n° 14 [15/10/2020] . - pp 1511 - 1526 Titre : Monitoring population dynamics in the Pearl River Delta from 2000 to 2010 Type de document : Article/Communication Auteurs : Sisi Yu, Auteur ; ZengXiang Zhang, Auteur ; Fang Liu, Auteur Année de publication : 2020 Article en page(s) : pp 1511 - 1526 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] agglomération [Termes IGN] croissance urbaine [Termes IGN] delta de la rivière des perles [Termes IGN] données démographiques [Termes IGN] image DMSP-OLS [Termes IGN] Kouangtoung (Chine) [Termes IGN] prise de vue nocturne [Termes IGN] recensement démographique [Termes IGN] répartition géographique [Termes IGN] série temporelle [Termes IGN] surveillance de l'urbanisation Résumé : (auteur) Although numerous literatures have documented the monitoring of population distributions and dynamics for socio-economic development, environmental protection, and urban planning on different scales, little attention has been paid to long-term and multi-frequency population evolution on urban agglomeration scale, especially in non-census years. Furthermore, although multi models have been applied to population spatialization based on night-time light imagery (NLT) and census data, their accuracy needs to be further improved. Selected the Pearl River Delta (PRD), China as the study area, this work aimed to solve the aforementioned problems by constructing the residential extent extraction index (REEI) and employing the population growth theory and ‘DN density–population density’ model. Results indicated that the proposed approaches were feasible to optimize NTL products and simulate populations in both census (2000, 2010) and non-census (2005) years. Population evolution in the PRD presented distinct differences from space and over time, and mainly driven by socioeconomic development. Numéro de notice : A2020-617 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2019.1576778 Date de publication en ligne : 28/05/2019 En ligne : https://doi.org/10.1080/10106049.2019.1576778 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95993 [article]

Extracting impervious surfaces from full polarimetric SAR images in different urban areas / Sara Attarchi in International Journal of Remote Sensing IJRS, vol 41 n° 12 (20 - 30 March 2020)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 41 n° 12 (20 - 30 March 2020) . - pp 4644 - 4663 Titre : Extracting impervious surfaces from full polarimetric SAR images in different urban areas Type de document : Article/Communication Auteurs : Sara Attarchi, Auteur Année de publication : 2020 Article en page(s) : pp 4644 - 4663 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] bande L [Termes IGN] classification par séparateurs à vaste marge [Termes IGN] extraction de données [Termes IGN] image ALOS-PALSAR [Termes IGN] image radar moirée [Termes IGN] matrice de co-occurrence [Termes IGN] niveau de gris (image) [Termes IGN] polarimétrie radar [Termes IGN] précision de la classification [Termes IGN] radar à antenne synthétique [Termes IGN] surface imperméable [Termes IGN] surveillance de l'urbanisation [Termes IGN] texture d'image [Termes IGN] zone urbaine Résumé : (auteur) Accurate mapping of impervious surface in urban areas is of great demand in environmental and socio-economic studies since impervious surface growth is recognized as an indicator of urbanization. To demonstrate the potential of full polarimetric Synthetic Aperture Radar (SAR) in impervious surface detection in different urban areas, this study focused on the exploitation of only SAR data. Three cities with different levels of urbanization – Tehran, Kordkuy, and Arak – have been selected to reduce the effect of input data on achieved results. Advanced Land Observing Satellite/Phased Array L-band Synthetic Aperture Radar (ALOS/PALSAR) images have been classified by support vector machine (SVM) with the help of training data from high-resolution satellite images. Quantitative assessment of classification accuracy revealed that Kordkuy, a not fully developed city (i.e. 84.2%) has the lowest accuracy and Arak, a medium urbanized city, has the highest accuracy (i.e. 90.0%). To further explore the efficiency of full polarimetric SAR, grey level co-occurrence matrix (GLCM) texture of polarized bands has been extracted and put into the classification procedure. The texture information of SAR data provided positive contribution to the impervious surface estimation in three study cases. The improvement is especially noted in dark impervious surface class. All three study areas show an increase of about 6–8% in classification accuracy. The results prove that single use of full polarimetric SAR images holds high potential in identifying impervious surfaces in urban areas. The findings are of great importance in frequent urban impervious surface mapping and monitoring especially in cloud-prone area, where the use of optical data as well as the fusion of optic and SAR data are limited. Numéro de notice : A2020-451 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431161.2020.1723178 Date de publication en ligne : 24/02/2020 En ligne : https://doi.org/10.1080/01431161.2020.1723178 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95539 [article]

Remote sensing for target object detection and identification / Gemine Vivone (2020)  

Public Titre : Remote sensing for target object detection and identification Type de document : Monographie Auteurs : Gemine Vivone, Éditeur scientifique ; Paolo Addesso, Éditeur scientifique ; Amanda Ziemann, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2020 Importance : 336 p. Format : 17 x 25 cm ISBN/ISSN/EAN : 978-3-03928-333-0 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] détection d'objet [Termes IGN] détection de cible [Termes IGN] image captée par drone [Termes IGN] image hyperspectrale [Termes IGN] image radar moirée [Termes IGN] surveillance de l'urbanisation [Termes IGN] surveillance écologique Résumé : (éditeur) Target object detection and identification are among the primary uses for a remote sensing system. This is crucial in several fields, including environmental and urban monitoring, hazard and disaster management, and defense and military. In recent years, these analyses have used the tremendous amount of data acquired by sensors mounted on satellite, airborne, and unmanned aerial vehicle (UAV) platforms. This book promotes papers exploiting different remote sensing data for target object detection and identification, such as synthetic aperture radar (SAR) imaging and multispectral and hyperspectral imaging. Several cutting-edge contributions, which provide examples of how to select of a technology or another depending on the specific application, will be detailed. Note de contenu : Editorial 1- Pixel tracking to estimate rivers water flow elevation using Cosmo-SkyMed synthetic aperture radar data 2- Flood distance algorithms and fault hidden danger recognition for transmission line towers based on SAR Images 3- Geospatial object detection on high resolution remote sensing imagery based on double multi-scale feature pyramid network 4- A novel multi-model decision fusion network for object detection in remote sensing images 5- Local region proposing for frame-based vehicle detection in satellite videos 6- Efficient object detection framework and hardware architecture for remote sensing images 7- Unsupervised saliency model with color Markov chain for oil tank detection 8- Affine-function transformation-based object matching for vehicle detection from unmanned aerial vehicle imagery 9- Hyperspectral anomaly detection via dictionary construction-based low-rank representation and adaptive weighting 10- Infrared small target detection based on non-convex optimization with Lp-Norm constraint 11- Infrared small target detection based on partial sum of the tensor nuclear norm 12- Infrared small-faint target detection using non-i.i.d. mixture of Gaussians and flux density 13- Mask sparse representation based on semantic features for thermal infrared target tracking 14- Infrared optical observability of an earth entry orbital test vehicle using ground-based remote sensors Numéro de notice : 25885 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Monographie DOI : 10.3390/books978-3-03928-333-0 En ligne : https://doi.org/10.3390/books978-3-03928-333-0 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95781

Sustainable land management in a European context / Thomas Weith (2020)  

Public Titre : Sustainable land management in a European context : A co-design approach Type de document : Monographie Auteurs : Thomas Weith, Éditeur scientifique ; Tim Barkmann, Auteur ; Nadin Gaasch, Éditeur scientifique ; et al., Éditeur scientifique Editeur : Springer Nature Année de publication : 2020 Importance : 347 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-030-50841-8 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Ecologie [Termes IGN] aménagement durable [Termes IGN] aménagement rural [Termes IGN] changement d'utilisation du sol [Termes IGN] écosystème [Termes IGN] Europe (géographie politique) [Termes IGN] géosciences [Termes IGN] gestion foncière [Termes IGN] gestion forestière durable [Termes IGN] paysage urbain [Termes IGN] politique communautaire [Termes IGN] recherche interdisciplinaire [Termes IGN] sciences de l'environnement [Termes IGN] surface cultivée [Termes IGN] surveillance de l'urbanisation Résumé : (éditeur) This open access book presents and discusses current issues and innovative solution approaches for land management in a European context. Manifold sustainability issues are closely interconnected with land use practices. Throughout the world, we face increasing conflict over the use of land as well as competition for land. Drawing on experience in sustainable land management gained from seven years of the FONA programme (Research for Sustainable Development, conducted under the auspices of the German Federal Ministry of Education and Research), the book stresses and highlights co-design processes within the "co-creation of knowledge", involving collaboration in transdisciplinary research processes between academia and other stakeholders. The book begins with an overview of the current state of land use practices and the subsequent need to manage land resources more sustainably. New system solutions and governance approaches in sustainable land management are presented from a European perspective on land use. The volume also addresses how to use new modes of knowledge transfer between science and practice. New perspectives in sustainable land management and methods of combining knowledge and action are presented to a broad readership in land system sciences and environmental sciences, social sciences and geosciences. Note de contenu : 1- Land-use: State and drivers in Europe 2- Co-production of knowledge 3- Co-evolution: New system solutions and governance 4- Outlook Numéro de notice : 25987 Affiliation des auteurs : non IGN Thématique : FORET Nature : Recueil / ouvrage collectif DOI : 10.1007/978-3-030-50841-8 En ligne : https://doi.org/10.1007/978-3-030-50841-8 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96745

Monitoring surface urban heat island formation in a tropical mountain city using Landsat data (1987–2015) / Ronald C. Estoque in ISPRS Journal of photogrammetry and remote sensing, vol 133 (November 2017)  

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An intelligent spatial land use planning support system using socially rational agents / Seyed Moral Ghavami in International journal of geographical information science IJGIS, vol 31 n° 5-6 (May-June 2017)  

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Urban land use/land cover discrimination using image-based reflectance calibration methods for hyperspectral data / Shailesh S. Deshpande in Photogrammetric Engineering & Remote Sensing, PERS, vol 83 n° 5 (May 2017)  

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Integrating cellular automata and Markov techniques to generate urban development potential surface : a study on Kolkata agglomeration / Biswajit Mondal in Geocarto international, vol 32 n° 4 (April 2017)  

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A spatial zoning approach to calibrate and validate urban growth models / Ali Kazemzadeh-Zow in International journal of geographical information science IJGIS, vol 31 n° 3-4 (March-April 2017)  

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Simulating urban growth processes by integrating cellular automata model and artificial optimization in Binhai New Area of Tianjin, China / Fengmei Yao in Geocarto international, vol 31 n° 5 - 6 (May - June 2016)  

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Public participation in GIS via mobile applications / Maria Antonia Brovelli in ISPRS Journal of photogrammetry and remote sensing, vol 114 (April 2016)  

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Simuler les mobilités individuelles : Les enjeux de l'information géographique / Jean-Philippe Antoni in Revue internationale de géomatique, vol 26 n° 2 (avril - juin 2016)  

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Mapping urban growth of the capital city of Honduras from Landsat data using the impervious surface fraction algorithm / Nguyen-Thanh Son in Geocarto international, vol 31 n° 3 - 4 (March - April 2016)  

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Vers une agriculture multifonctionnelle ? / Laurie Vandevelde in Géomètre, n° 2134 (mars 2016)

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