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Titre : Sustainable built environment and urban growth management Type de document : Monographie Auteurs : Wann-Ming Wey, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2020 Importance : 242 p. ISBN/ISSN/EAN : 978-3-03928-187-9 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Urbanisme
[Termes IGN] croissance urbaine
[Termes IGN] étalement urbain
[Termes IGN] gestion urbaine
[Termes IGN] habitat durable
[Termes IGN] occupation du sol
[Termes IGN] planification urbaine
[Termes IGN] transport urbain
[Termes IGN] utilisation du sol
[Termes IGN] ville durable
[Termes IGN] ville intelligenteRésumé : (éditeur) Nowadays, the sustainable built environment planning in most cities has come to a turning point as the growth in traffic and population has become a serious concern and put tremendous pressure on both the environment and people in these cities. It is therefore important to find new ways or lifestyles—such as compact city, transit-oriented development (TOD) formulations—that are more flexible, inclusive, and sustainable. Furthermore, for the sustainable built environment and urban growth management, not only should the growth management principles—which include smart growth, sustainable growth, and inclusive growth—be taken into account but innovative/smart planning strategies—such as mixed use design, green transport, and new urbanism—are also utilized in planning sustainable built environments in order to prevent the urban sprawl development that has occurred. Note de contenu : 1- A commentary on sustainably built environments and urban growth management
2- Simulation of urban growth and urban living environment with release of the green belt
3- Factors causing farmland price-value distortion and their implications for peri-urban growth management
4- Evaluating social performance of construction projects: An empirical study
5- Measures and steps for more efficient use of buildings
6- Exploring antecedents of green tourism behaviors: A case study in suburban areas of Taipei, Taiwan
7- Analysis of the land use and cover changes in the metropolitan area of Tepic-Xalisco (1973–2015) through Landsat images
8- Morphology dependent assessment of resilience for urban areas
9- Effects of commercial activities by type on social bonding and place attachment in neighborhoods
10- Analysis of embodied environmental impacts of Korean apartment buildings considering major building materials
11- Building ownership, renovation investments, and energy performance—a study of multi-family dwellings in Gothenburg
12- How does the ecological well-being of urban and rural residents change with rural-urban land conversion? The case of Hubei, China
13- Estimation of carbon dioxide emissions generated by building and traffic in Taichung City
14- An integrated carbon policy-based interactive strategy for carbon reduction and economic development in a construction material supply chain
15- Environmental activation of inner space components in sustainable interior designNuméro de notice : 25882 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Monographie DOI : 10.3390/books978-3-03928-187-9 En ligne : https://doi.org/10.3390/books978-3-03928-187-9 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95747
Titre : XXIV ISPRS Congress, Commission 3 Type de document : Actes de congrès Auteurs : Nicolas Paparoditis , Éditeur scientifique ; Clément Mallet , Éditeur scientifique ; Florent Lafarge, Éditeur scientifique ; J. Jiang, Éditeur scientifique ; Ahmed Shaker, Éditeur scientifique ; Hongping Zhang, Éditeur scientifique Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2020 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 43-B3-2020 Conférence : ISPRS 2020, Commission 3, virtual Congress, Imaging today foreseeing tomorrow 31/08/2020 02/09/2020 Nice (en ligne) France Archives Commission 3 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] apprentissage profond
[Termes IGN] utilisation du solNuméro de notice : 17627 Affiliation des auteurs : ENSG+Ext (2020- ) Thématique : IMAGERIE Nature : Actes nature-HAL : DirectOuvrColl/Actes DOI : sans Date de publication en ligne : 06/08/2020 En ligne : https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2020/in [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97138 Voir aussi
Titre : XXIV ISPRS Congress, Commission 4 Type de document : Actes de congrès Auteurs : Nicolas Paparoditis , Éditeur scientifique ; Clément Mallet , Éditeur scientifique ; Florent Lafarge, Éditeur scientifique ; Sisi Zlatanova, Éditeur scientifique ; Suzana Dragićević, Éditeur scientifique ; George Sithole, Éditeur scientifique ; et al., Éditeur scientifique Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2020 Collection : International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 1682-1750 num. 43-B4-2020 Conférence : ISPRS 2020, Commission 4, virtual Congress, Imaging today foreseeing tomorrow 31/08/2020 02/09/2020 Nice (en ligne) France Archives Commission 4 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] lasergrammétrie
[Termes IGN] traitement d'image
[Termes IGN] utilisation du solNuméro de notice : 17628 Affiliation des auteurs : ENSG+Ext (2020- ) Thématique : IMAGERIE Nature : Actes nature-HAL : DirectOuvrColl/Actes DOI : sans Date de publication en ligne : 06/08/2020 En ligne : https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B4-2020/in [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97139 Voir aussiCombining Sentinel-1 and Sentinel-2 Satellite image time series for land cover mapping via a multi-source deep learning architecture / Dino Lenco in ISPRS Journal of photogrammetry and remote sensing, Vol 158 (December 2019)
[article]
Titre : Combining Sentinel-1 and Sentinel-2 Satellite image time series for land cover mapping via a multi-source deep learning architecture Type de document : Article/Communication Auteurs : Dino Lenco, Auteur ; Roberto Interdonato, Auteur ; Raffaele Gaetano, Auteur ; Ho Tong Minh Dinh, Auteur Année de publication : 2019 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] apprentissage profond
[Termes IGN] Burkina Faso
[Termes IGN] carte de la végétation
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] fusion d'images
[Termes IGN] image à haute résolution
[Termes IGN] image multibande
[Termes IGN] image radar moirée
[Termes IGN] image Sentinel-MSI
[Termes IGN] image Sentinel-SAR
[Termes IGN] occupation du sol
[Termes IGN] Réunion, île de la
[Termes IGN] série temporelle
[Termes IGN] utilisation du solRésumé : (auteur) The huge amount of data currently produced by modern Earth Observation (EO) missions has allowed for the design of advanced machine learning techniques able to support complex Land Use/Land Cover (LULC) mapping tasks. The Copernicus programme developed by the European Space Agency provides, with missions such as Sentinel-1 (S1) and Sentinel-2 (S2), radar and optical (multi-spectral) imagery, respectively, at 10 m spatial resolution with revisit time around 5 days. Such high temporal resolution allows to collect Satellite Image Time Series (SITS) that support a plethora of Earth surface monitoring tasks. How to effectively combine the complementary information provided by such sensors remains an open problem in the remote sensing field. In this work, we propose a deep learning architecture to combine information coming from S1 and S2 time series, namely TWINNS (TWIn Neural Networks for Sentinel data), able to discover spatial and temporal dependencies in both types of SITS. The proposed architecture is devised to boost the land cover classification task by leveraging two levels of complementarity, i.e., the interplay between radar and optical SITS as well as the synergy between spatial and temporal dependencies. Experiments carried out on two study sites characterized by different land cover characteristics (i.e., the Koumbia site in Burkina Faso and Reunion Island, a overseas department of France in the Indian Ocean), demonstrate the significance of our proposal. Numéro de notice : A2019-544 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2019.09.016 Date de publication en ligne : 27/09/2019 En ligne : https://doi.org/10.1016/j.isprsjprs.2019.09.016 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94186
in ISPRS Journal of photogrammetry and remote sensing > Vol 158 (December 2019)[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2019121 RAB Revue Centre de documentation En réserve L003 Disponible 081-2019123 DEP-RECP Revue LASTIG Dépôt en unité Exclu du prêt 081-2019122 DEP-RECF Revue Nancy Dépôt en unité Exclu du prêt Potential of Landsat-8 and Sentinel-2A composite for land use land cover analysis / Divyesh Varade in Geocarto international, vol 34 n° 14 ([30/10/2019])
[article]
Titre : Potential of Landsat-8 and Sentinel-2A composite for land use land cover analysis Type de document : Article/Communication Auteurs : Divyesh Varade, Auteur ; Anudeep Sure, Auteur ; Onkar Dikshit, Auteur Année de publication : 2019 Article en page(s) : pp 1552 - 1567 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse linéaire des mélanges spectraux
[Termes IGN] classification dirigée
[Termes IGN] image EO1-Hyperion
[Termes IGN] image hyperspectrale
[Termes IGN] image Landsat-8
[Termes IGN] image Sentinel-MSI
[Termes IGN] Inde
[Termes IGN] occupation du sol
[Termes IGN] réflectance spectrale
[Termes IGN] utilisation du solRésumé : (auteur) This study proposes the development of a multi-sensor, multi-spectral composite from Landsat-8 and Sentinel-2A imagery referred to as ‘LSC’ for land use land cover (LULC) characterisation and compared with respect to the hyperspectral imagery of the EO1: Hyperion sensor. A three-stage evaluation was implemented based on the similarity observed in the spectral response, supervised classification results and endmember abundance information obtained using linear spectral unmixing. The study was conducted for two areas located around Dhundi and Rohtak in Himachal Pradesh and Haryana, respectively. According to the analysis of the spectral reflectance curves, the spectral response of the LSC is capable of identifying major LULC classes. The kappa accuracy of 0.85 and 0.66 was observed for the classification results from LSC and Hyperion data for Dhundi and Rohtak datasets, respectively. The coefficient of determination was found to be above 0.9 for the LULC classes in both the datasets as compared to Hyperion, indicating a good agreement. Thus, these three-stage results indicated the significant potential of a composite derived from freely available multi-sensor multi-spectral imagery as an alternative to hyperspectral imagery for LULC studies. Numéro de notice : A2019-527 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2018.1497096 Date de publication en ligne : 07/09/2018 En ligne : https://doi.org/10.1080/10106049.2018.1497096 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94101
in Geocarto international > vol 34 n° 14 [30/10/2019] . - pp 1552 - 1567[article]Considering spatiotemporal processes in big data analysis: Insights from remote sensing of land cover and land use / Alexis Comber in Transactions in GIS, Vol 23 n° 5 (October 2019)PermalinkHigh‐resolution national land use scenarios under a shrinking population in Japan / Haruka Ohashi in Transactions in GIS, vol 23 n° 4 (August 2019)PermalinkA new stochastic simulation algorithm for image-based classification : Feature-space indicator simulation / Qing Wang in ISPRS Journal of photogrammetry and remote sensing, vol 152 (June 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)PermalinkAnalyse de données d’OpenStreetMap en vue de discriminer l’usage du sol lié au bâti / Jocelyn Le Maître (2019)PermalinkPermalinkClimate variability and climate change impacts on land surface, hydrological processes and water management / Yongqiang Zhang (2019)PermalinkEvaluation of time-series SAR and optical images for the study of winter land-use / Julien Denize (2019)PermalinkPermalinkPermalink