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An informal road detection neural network for societal impact in developing countries / Inger Fabris-Rotelli in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol V-4-2022 (2022 edition)
[article]
Titre : An informal road detection neural network for societal impact in developing countries Type de document : Article/Communication Auteurs : Inger Fabris-Rotelli, Auteur ; Abraham Wannenburg, Auteur ; Gao Maribe, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 267 - 274 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] Afrique du sud (état)
[Termes IGN] apprentissage profond
[Termes IGN] données étiquetées d'entrainement
[Termes IGN] extraction du réseau routier
[Termes IGN] image satellite
[Termes IGN] impact social
[Termes IGN] pays en développement
[Termes IGN] réseau neuronal artificielRésumé : (auteur) Roads found in informal settlements arise out of convenience, and are often not recorded or maintained by authorities. This complicates service delivery, sustainable development and crisis mitigation, including management and tracking of COVID-19. We, therefore, aim to extract informal roads in remote sensing images. Existing techniques aiming at the extraction of formal roads are not suitable for the problem due to the complex physical and spectral properties of informal roads. The only existing approaches for informal roads, namely (Nobrega et al., 2006, Thiede et al., 2020), do not consider neural networks as a solution. Neural networks show promise in overcoming these complexities. However, they require a large amount of data to learn, which is currently not available due to the expensive and time-consuming nature of collecting such data. This paper implements a neural network to extract informal roads from a data set digitised by this research group. Data quality is assessed by calculating validity completeness, homogeneity and the V-measure, a measure of consistency, in order to evaluate the overall usability of the dataset for neural network informal road detection. We implement the GANs-UNet model that obtained the highest F1-score in a 2020 review paper (Abdollahi et al., 2020) on the state-of-the-art deep learning models used to extract formal roads. The results indicate that the model is able to extract informal roads successfully in the presence of appropriate training data. Numéro de notice : A2022-424 Affiliation des auteurs : non IGN Thématique : IMAGERIE/INFORMATIQUE Nature : Article DOI : 10.5194/isprs-annals-V-4-2022-267-2022 Date de publication en ligne : 18/05/2022 En ligne : https://doi.org/10.5194/isprs-annals-V-4-2022-267-2022 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100729
in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences > vol V-4-2022 (2022 edition) . - pp 267 - 274[article]Spatio-temporal analysis of urbanization using GIS and remote sensing in developing countries / Yuji Murayama (2021)
Titre : Spatio-temporal analysis of urbanization using GIS and remote sensing in developing countries Type de document : Monographie Auteurs : Yuji Murayama, Éditeur scientifique ; Matamyo Simwanda, Éditeur scientifique ; Manjula Ranagalage, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2021 Importance : 327 p. Format : 16 x 23 cm ISBN/ISSN/EAN : 978-3-0365-2540-2 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse spatio-temporelle
[Termes IGN] Chine
[Termes IGN] croissance urbaine
[Termes IGN] ilot thermique urbain
[Termes IGN] image satellite
[Termes IGN] occupation du sol
[Termes IGN] pays en développement
[Termes IGN] planification urbaine
[Termes IGN] système d'information géographique
[Termes IGN] urbanisation
[Termes IGN] ville durableRésumé : (éditeur) Over the last two decades, many researchers have focused on developing countries' urbanization patterns and processes. In this context, the scarcity of spatial data has been an obstacle to studying urbanization quantitatively, especially in Asian and African cities. The use of remote sensing data and geographical information systems (GIS) techniques can overcome the above limitations. Data on land use and land cover, land surface temperature, population density, and energy consumption can be extracted based on remote sensing at various spatial and temporal resolutions. GIS techniques can be used to analyze urbanization patterns and predict future patterns. Thus, the link between urbanization and sustainable urban development has increasingly become a principal issue in designing and developing sustainable cities at the local, regional, and global levels. This volume shows the spatiotemporal analysis of urbanization using GIS and remote sensing in developing countries, with a special emphasis on future urban sustainability in Asia and Africa. Capturing the spatial-temporal variation of urbanization patterns will help introduce proper sustainable urban planning in developing countries, especially for Asian and African cities. Note de contenu : 1- A cellular automata model constrained by spatiotemporal heterogeneity of the urban development strategy for simulating land-use change: A case study in Nanjing City, China
2- Remote sensing-based analysis of landscape pattern evolution in industrial rural areas: A case of southern Jiangsu, China
3- Spatial-temporal dynamic analysis of land use and landscape pattern in Guangzhou, China: Exploring
the driving forces from an urban sustainability perspective
4- Quantitative influence of land-use changes and urban expansion intensity on landscape pattern in Qingdao, China: Implications for urban sustainability
5- An analysis of urban land use/land cover changes in Blantyre City, Southern Malawi (1994–2018)
6- Spatiotemporal patterns and driving forces of urban expansion in coastal areas: A study on urban agglomeration in the Pearl River Delta, China
7- Spatiotemporal patterns and drivers of the surface urban heat island in 36 major cities in China: A comparison of two different methods for delineating rural areas
8- The impacts of the expansion of urban impervious surfaces on urban heat islands in a coastal city in China
9- The impacts of landscape changes on annual mean land surface temperature in the tropical mountain city of Sri Lanka: A case study of Nuwara Eliya (1996–2017)
10- Impact of landscape structure on the variation of land surface temperature in Sub-Saharan region: A case study of Addis Ababa using Landsat data (1986–2016)
11- Analysis of life quality in a tropical mountain city using a multi-criteria geospatial technique: A case study of Kandy City, Sri Lanka
12- Spatiotemporal analysis of the nonlinear negative relationship between urbanization and habitat quality in metropolitan areas
13- Dynamic monitoring and analysis of ecological quality of Pingtan comprehensive experimental zone, a new type of Sea Island City, based on RSEI
14- Role of urban public space and the surrounding environment in promoting sustainable development from the lens of social media
15- Comparison on multi-scale urban expansion derived from nightlight imagery between China and India
16- Impact of COVID-19 induced lockdown on environmental quality in four Indian megacities using Landsat 8 OLI and TIRS-derived data and Mamdani fuzzy logic modelling approachNuméro de notice : 28675 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE/URBANISME Nature : Recueil / ouvrage collectif DOI : 10.3390/books978-3-0365-2540-2 En ligne : https://doi.org/10.3390/books978-3-0365-2540-2 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99923 Volunteered geographic information quality assessment using trust and reputation modelling in land administration systems in developing countries / Kealeboga K. Moreri in International journal of geographical information science IJGIS, vol 32 n° 5-6 (May - June 2018)
[article]
Titre : Volunteered geographic information quality assessment using trust and reputation modelling in land administration systems in developing countries Type de document : Article/Communication Auteurs : Kealeboga K. Moreri, Auteur ; David Fairbairn, Auteur ; Philip James, Auteur Année de publication : 2018 Article en page(s) : pp 931 - 959 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cadastre étranger
[Termes IGN] base de données foncières
[Termes IGN] données localisées des bénévoles
[Termes IGN] pays en développement
[Termes IGN] qualité des donnéesRésumé : (Auteur) This article presents an innovative approach to establish the quality and credibility of Volunteered Geographic Information (VGI) such that it can be considered in Land Administration Systems (LAS) on a Fit for Purpose (FFP) basis. A participatory land information system can provide affordable and timely FFP information about land and its resources. However, the establishment of such a system involves more than just technical solutions and administrative procedures: many social, economic and political aspects must be considered. Innovative approaches like VGI can help address the lack of accurate, reliable and FFP land information for LAS, but integration of such sources relies on the quality and credibility of VGI. Verifying volunteer efforts can be difficult without reference to ground truth: a novel Trust and Reputation Modelling methodology is proposed as a suitable technique to effect such VGI data set validation. This method has been applied to successfully demonstrate that VGI can produce accurate and reliable data sets which can be used to conduct regular systematic updates of geographic information in official systems. It relies on a view that the public can police themselves in establishing proxy measures of VGI quality thus facilitating VGI to be used on a FFP basis in LAS. Numéro de notice : A2018-195 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2017.1409353 Date de publication en ligne : 25/01/2018 En ligne : https://doi.org/10.1080/13658816.2017.1409353 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89860
in International journal of geographical information science IJGIS > vol 32 n° 5-6 (May - June 2018) . - pp 931 - 959[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 079-2018031 RAB Revue Centre de documentation En réserve L003 Disponible Quels usages effectifs de l’information géographique volontaire pour la production et la gestion des services urbains ? Application au secteur de l’eau et de l’assainissement dans les villes d’Afrique Subsaharienne / Cécile Remy (2015)
Titre : Quels usages effectifs de l’information géographique volontaire pour la production et la gestion des services urbains ? Application au secteur de l’eau et de l’assainissement dans les villes d’Afrique Subsaharienne Type de document : Article/Communication Auteurs : Cécile Remy, Auteur ; Sidonie Christophe , Auteur Editeur : Aix-la-Chapelle [Allemagne] : CEUR-WS Année de publication : 2015 Collection : CEUR Workshop Proceedings, ISSN 1613-0073 num. 1535 Conférence : SAGEO 2015, Spatial Analysis and GEOmatics 23/11/2015 26/11/2015 Hammamet Tunisie open access proceedings Importance : pp 120 - 134 Note générale : bibliographie Langues : Français (fre) Descripteur : [Termes IGN] données localisées des bénévoles
[Termes IGN] gestion urbaine
[Termes IGN] milieu urbain
[Termes IGN] pays en développement
[Termes IGN] réseau d'assainissement
[Termes IGN] réseau de distribution d'eau
[Termes IGN] société de l'information
[Termes IGN] urbanisme
[Termes IGN] utilisateurRésumé : (auteur) Cet article présente les systèmes sociotechniques innovants déployés depuis quelques années dans certaines villes des Suds, pour habiliter les citadins à produire et diffuser de l’Information Géographique Volontaire (IGV) sur les services d’eau et d’assainissement dont ils bénéficient. Que devient cependant cette information une fois mise en ligne ? La revue de littérature montre que les usages effectifs de l’IGV restent largement méconnus à ce jour. Une méthodologie de recherche comparative et pluridisciplinaire est proposée pour analyser les usages effectifs attendus et inattendus, mais également les non-usages de l’IGV pour la production et la gestion des services, en particulier dans le secteur de l’eau et de l’assainissement. Numéro de notice : C2015-016 Affiliation des auteurs : LASTIG COGIT (2012-2019) Thématique : GEOMATIQUE/URBANISME Nature : Communication nature-HAL : ComAvecCL&ActesPubliésNat DOI : sans En ligne : http://ceur-ws.org/Vol-1535/paper-09.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83271
Titre : Using mobile phone traces to understand activity and mobility in Dakar, Senegal Type de document : Article/Communication Auteurs : Ed Manley, Auteur ; Adam Dennett, Auteur ; Michael Batty, Auteur Editeur : Leeds [Royaume-Uni] : University of Leeds Année de publication : 2015 Conférence : GISRUK 2015, 23th GIS Research UK annual conference 15/04/2015 17/04/2015 Leeds Royaume-Uni open access proceedings Importance : pp 387 - 395 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse spatio-temporelle
[Termes IGN] Dakar (Sénégal)
[Termes IGN] distribution spatiale
[Termes IGN] données massives
[Termes IGN] mobilité urbaine
[Termes IGN] pays en développement
[Termes IGN] téléphone intelligent
[Termes IGN] trace GPS
[Vedettes matières IGN] GéovisualisationRésumé : (auteur) With the emergence of mobile phone trace datasets, new opportunities have arisen for improving the understanding large-scale mobility behaviours. The potential impact of these insight derived from these data is no more significant than in the developing country context, where existing data collection infrastructure is limited or non-existent. In this research, mobile phone data for Dakar, Senegal is used to better understand urban activity and mobility dynamics. To achieve this, a clustering method is introduced that extracts the spatial distribution, and the temporal characteristics, of the activities of individual mobile phone users. With this classification of individual locations of activity, citywide trends in activity and mobility over time are derived. The paper concludes in discussing the potential and limitations of this approach, and the outlook for associated analyses that employ mobile phone trace data. Numéro de notice : C2015-051 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Communication DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83865 Documents numériques
en open access
Using mobile phone tracesAdobe Acrobat PDF The human factor / Jim Stokes in GEO: Geoconnexion international, vol 12 n° 8 (september 2013)PermalinkGéo-information et société (Bulletin de La jaune et la rouge) / Jean DenègrePermalinkSecure land tenure: land rights for women and the poor / J. Mckenna in GIM international, vol 22 n° 12 (December 2008)PermalinkAtlas du monde global / P. Boniface (2008)PermalinkPioneering a rapid and cheap GPS cadastral surveying methodology for developing countries / G. Barnes in Geomatica, vol 61 n° 4 (December 2007)PermalinkPermalinkSustainable GIS / Roger Longhorn in GEO: Geoconnexion international, vol 5 n° 4 (april 2006)PermalinkLa cartographie spatiale accompagne les enquêteurs / A.M. Bernard in SPOT magazine, n° 40 (01/12/2005)PermalinkTowards a potential research agenda to guide the implementation of spatial data infrastructures: a case study from India / Yola Georgiadou in International journal of geographical information science IJGIS, vol 19 n° 10 (november 2005)PermalinkThe application of GIS in the lands sector of a developing country: challenges facing land administrators in Ghana / I. Karikari in International journal of geographical information science IJGIS, vol 19 n° 3 (march 2005)Permalink