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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 descripteurs IGN] agglomération [Termes descripteurs IGN] croissance urbaine [Termes descripteurs IGN] delta de la rivière des perles [Termes descripteurs IGN] données démographiques [Termes descripteurs IGN] image DMSP-OLS [Termes descripteurs IGN] Kouangtoung (Chine) [Termes descripteurs IGN] prise de vue nocturne [Termes descripteurs IGN] recensement démographique [Termes descripteurs IGN] répartition géographique [Termes descripteurs IGN] série temporelle [Termes descripteurs 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 descripteurs IGN] bande L [Termes descripteurs IGN] classification par séparateurs à vaste marge [Termes descripteurs IGN] extraction de données [Termes descripteurs IGN] image ALOS-PALSAR [Termes descripteurs IGN] image radar moirée [Termes descripteurs IGN] matrice de co-occurence [Termes descripteurs IGN] niveau de gris (image) [Termes descripteurs IGN] polarimétrie radar [Termes descripteurs IGN] précision de la classification [Termes descripteurs IGN] radar à antenne synthétique [Termes descripteurs IGN] surface imperméable [Termes descripteurs IGN] surveillance de l'urbanisation [Termes descripteurs IGN] texture d'image [Termes descripteurs 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, Editeur scientifique ; Paolo Addesso, Editeur scientifique ; Amanda Ziemann, Editeur 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 descripteurs IGN] détection d'objet [Termes descripteurs IGN] détection de cible [Termes descripteurs IGN] image de drone [Termes descripteurs IGN] image hyperspectrale [Termes descripteurs IGN] image radar moirée [Termes descripteurs IGN] surveillance de l'urbanisation [Termes descripteurs 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

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)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 133 (November 2017) . - pp 18 - 29 Titre : Monitoring surface urban heat island formation in a tropical mountain city using Landsat data (1987–2015) Type de document : Article/Communication Auteurs : Ronald C. Estoque, Auteur ; Yuji Murayama, Auteur Année de publication : 2017 Article en page(s) : pp 18 - 29 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] aide à la décision [Termes descripteurs IGN] analyse diachronique [Termes descripteurs IGN] Asie du sud-est [Termes descripteurs IGN] climat tropical [Termes descripteurs IGN] couvert végétal [Termes descripteurs IGN] ilot thermique urbain [Termes descripteurs IGN] image Landsat [Termes descripteurs IGN] montagne [Termes descripteurs IGN] Philippines [Termes descripteurs IGN] surface imperméable [Termes descripteurs IGN] surveillance de l'urbanisation [Termes descripteurs IGN] température de surface [Termes descripteurs IGN] urbanisme [Termes descripteurs IGN] ville Résumé : (Auteur) Since it was first described about two centuries ago and due to its adverse impacts on urban ecological environment and the overall livability of cities, the urban heat island (UHI) phenomenon has been, and still is, an important research topic across various fields of study. However, UHI studies on cities in mountain regions are still lacking. This study aims to contribute to this endeavor by monitoring and examining the formation of surface UHI (SUHI) in a tropical mountain city of Southeast Asia –Baguio City, the summer capital of the Philippines– using Landsat data (1987–2015). Based on mean surface temperature difference between impervious surface (IS) and green space (GS1), SUHI intensity (SUHII) in the study area increased from 2.7 °C in 1987 to 3.4 °C in 2015. Between an urban zone (>86% impervious) and a rural zone ( Numéro de notice : A2017-720 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2017.09.008 En ligne : https://doi.org/10.1016/j.isprsjprs.2017.09.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=88405 [article]

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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)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 31 n° 5-6 (May-June 2017) . - pp 1022 - 1041 Titre : An intelligent spatial land use planning support system using socially rational agents Type de document : Article/Communication Auteurs : Seyed Moral Ghavami, Auteur ; Mohammad Taleai, Auteur ; Theo Arentze, Auteur Année de publication : 2017 Article en page(s) : pp 1022 - 1041 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] acteur [Termes descripteurs IGN] apprentissage automatique [Termes descripteurs IGN] géographie sociale [Termes descripteurs IGN] négociation [Termes descripteurs IGN] outil d'aide à la décision [Termes descripteurs IGN] planification urbaine [Termes descripteurs IGN] surveillance de l'urbanisation [Termes descripteurs IGN] système multi-agents [Termes descripteurs IGN] utilisation du sol Résumé : (auteur) This research presents an intelligent planning support system based on multi-agent systems for spatial urban land use planning. The proposed system consists of two main phases: a pre-negotiation phase and an automated negotiation phase. The pre-negotiation phase involves interaction between human actors and intelligent software agents in order to elicit the actors’ social preferences. The agents employ social value orientation theory, which is rooted in social psychology, in order to model actors’ social preferences. The automated negotiation phase involves negotiation among autonomous software agents, the aim being to achieve consensus about the spatial problem on behalf of the relevant actors and using the information obtained. This study employs a computationally effective Bayesian learning technique, along with social value orientation theory, to design socially rational intelligent agents who work on behalf of real actors. The proposed system is applied to a real world urban land use planning case study. Human actors participate in a pre-negotiation phase, and their social preferences are elicited by intelligent software agents through a number of interactions. Then, software agents come together to engage in an automated negotiation phase and eventually reach an agreement on the spatial configuration of urban land uses on behalf of the actors. The results of the study show that the proposed system is effective at performing an automated negotiation, plus that the final plan – which is the output of the automated negotiation – produces higher social utility and better spatial land use configurations for the agents. Numéro de notice : A2017-240 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2016.1263306 En ligne : http://dx.doi.org/10.1080/13658816.2016.1263306 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85175 [article]

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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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Building expectations / Lena Nietbaur in GEO: Geoconnexion international, vol 15 n° 2 (February 2016)

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Everyday space–time geographies: using mobile phone-based sensor data to monitor urban activity in Harbin, Paris, and Tallinn / R. Ahas in International journal of geographical information science IJGIS, vol 29 n° 11 (November 2015)  

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