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Lack of effect of admixture proportion and tree density on water acquisition depth for European beech (Fagus sylvatica L.) and sycamore maple (Acer pseudoplatanus L.) / Alexandre Fruleux in Annals of Forest Science [en ligne], Vol 77 n° 2 (June 2020)  

Public [article]  inAnnals of Forest Science [en ligne] > Vol 77 n° 2 (June 2020) Titre : Lack of effect of admixture proportion and tree density on water acquisition depth for European beech (Fagus sylvatica L.) and sycamore maple (Acer pseudoplatanus L.) Type de document : Article/Communication Auteurs : Alexandre Fruleux, Auteur ; Marie-Béatrice Bogeat-Triboulot, Auteur ; Catherine Collet, Auteur ; Damien Bonal, Auteur Année de publication : 2020 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] acer pseudoplatanus [Termes descripteurs IGN] Fagus sylvatica [Termes descripteurs IGN] flore locale [Termes descripteurs IGN] humidité du sol [Termes descripteurs IGN] niche écologique [Termes descripteurs IGN] répartition géographique [Termes descripteurs IGN] stress hydrique [Vedettes matières IGN] Végétation et changement climatique Résumé : (Auteur) In a mixed, Fagus sylvatica L.- Acer pseudoplatanus L., young plantation, trees of both species absorbed water from superficial soil layers despite the presence of roots and water in deeper layers. Admixture proportion and tree density were weak predictors of water acquisition depth, as well as fine root vertical distribution, although it might be due to distinct periods of root and isotope investigations. Promoting mixed forests and reducing stand densities have been proposed as effective ways to maintain the productivity of temperate planted forest stands in a changing climate. The objective of this study was to analyse how stand density and the degree of admixture of European beech and sycamore maple interactively influenced the water acquisition profile of individual trees. We used a stable isotope (deuterium) approach to determine the profiles of soil water acquisition of both species in a 16-year-old plantation where trees had been planted along crossed gradients of tree density and species proportion. The profiles were then compared with the vertical distribution of fine root of these species in the plantation. All the target trees mostly absorbed soil water from the first few centimetres of soil despite homogenous vertical water availability and the fact that a great part of the fine root biomass was located below 10 cm. Admixture proportion and tree density had negligible effects on soil water acquisition depth. No vertical differentiation of soil water acquisition between the two species was observed, suggesting that mixing these species does not promote reduction of belowground competition for resource acquisition. The vertical distribution of fine root may be a weak predictor of water acquisition depth. Numéro de notice : A2020-134 Thématique : FORET Nature : Numéro de périodique nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s13595-020-00937-1 date de publication en ligne : 31/03/2020 En ligne : https://doi.org/10.1007/s13595-020-00937-1 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94826 [article]

Evaluating the potential of the red edge channel for C3 (Festuca spp.) grass discrimination using Sentinel-2 and Rapid Eye satellite image data / Charles Otunga in Geocarto international, vol 34 n° 10 ([15/07/2019])  

Public [article]  inGeocarto international > vol 34 n° 10 [15/07/2019] . - pp 1123 - 1143 Titre : Evaluating the potential of the red edge channel for C3 (Festuca spp.) grass discrimination using Sentinel-2 and Rapid Eye satellite image data Type de document : Article/Communication Auteurs : Charles Otunga, Auteur ; John Odindi, Auteur ; Onisimo Mutanga, Auteur ; Clément Adjorlolo, Auteur Année de publication : 2019 Article en page(s) : pp 1123 - 1143 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes descripteurs IGN] Afrique du sud (état) [Termes descripteurs IGN] analyse discriminante [Termes descripteurs IGN] bande rouge [Termes descripteurs IGN] bande spectrale [Termes descripteurs IGN] carte de la végétation [Termes descripteurs IGN] Festuca (genre) [Termes descripteurs IGN] image RapidEye [Termes descripteurs IGN] image Sentinel-MSI [Termes descripteurs IGN] paturage [Termes descripteurs IGN] prairie [Termes descripteurs IGN] répartition géographique Résumé : (auteur) Integrating the Red Edge channel in satellite sensors is valuable for plant species discrimination. Sentinel-2 MSI and Rapid Eye are some of the new generation satellite sensors that are characterized by finer spatial and spectral resolution, including the red edge band. The aim of this study was to evaluate the potential of the red edge band of Sentinel-2 and Rapid Eye, for mapping festuca C3 grass using discriminant analysis and maximum likelihood classification algorithms. Spectral bands, vegetation indices and spectral bands plus vegetation indices were analysed. Results show that the integration of the red edge band improved the festuca C3 grass mapping accuracy by 5.95 and 4.76% for Sentinel-2 and Rapid Eye when the red edge bands were included and excluded in the analysis, respectively. The results demonstrate that the use of sensors with strategically positioned red edge bands, could offer information that is critical for the sustainable rangeland management. Numéro de notice : A2019-301 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2018.1474274 date de publication en ligne : 24/05/2018 En ligne : https://doi.org/10.1080/10106049.2018.1474274 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93221 [article]

Code Grey : mapping healthcare service deserts in Hamilton, Ontario and the impact on senior populations / Kristin M. Dosen in Cartographica, vol 52 n° 2 (Summer 2017)  

Public [article]  inCartographica > vol 52 n° 2 (Summer 2017) . - pp 125 - 131 Titre : Code Grey : mapping healthcare service deserts in Hamilton, Ontario and the impact on senior populations Type de document : Article/Communication Auteurs : Kristin M. Dosen, Auteur ; Alexis A. Kariasuk, Auteur ; Alexandra C. Marcaccio, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 125 - 131 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique [Termes descripteurs IGN] accessibilité [Termes descripteurs IGN] analyse des besoins [Termes descripteurs IGN] données médicales [Termes descripteurs IGN] données socio-économiques [Termes descripteurs IGN] équipement sanitaire [Termes descripteurs IGN] Ontario [Termes descripteurs IGN] outil d'aide à la décision [Termes descripteurs IGN] population [Termes descripteurs IGN] répartition géographique Résumé : (Auteur) Given the precedent findings of health inequalities in Hamilton, ON and the rapid increase of elderly populations in Canada as a whole, this article looks for areas of deficient health services within the Hamilton region, characterized as “healthcare deserts,” and examines the possible implications with respect to the residing senior populations. Maps were constructed by overlaying median household income and percentage of population over 65 with the locations of healthcare services frequented by seniors. Qualitative analysis revealed that the distribution of senior services has no correlation to the senior population, and that senior services tend to be concentrated in lower income areas. This research has exposed the existence of healthcare deserts in most regions of Hamilton except the downtown core. Since seniors are less able to travel longer distances, living far away from these services could act as a barrier, inhibiting access and reducing quality of life. Concerns regarding accessibility of health services will become more important as this demographic grows, so mapping services in this manner can inform urban planning to minimize the impacts of these deserts. Numéro de notice : A2017-372 Thématique : GEOMATIQUE Nature : Article DOI : 10.3138/cart.52.2.5103 En ligne : https://doi.org/10.3138/cart.52.2.5103 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85797 [article]

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Mapping fine-scale population distributions at the building level by integrating multisource geospatial big data / Yao Yao 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 1220 - 1244 Titre : Mapping fine-scale population distributions at the building level by integrating multisource geospatial big data Type de document : Article/Communication Auteurs : Yao Yao, Auteur ; Xiaoping Liu, Auteur ; Xia Li, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 1220 - 1244 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] bâtiment [Termes descripteurs IGN] Canton (Kouangtoung) [Termes descripteurs IGN] cartographie statistique [Termes descripteurs IGN] classification par forêts aléatoires [Termes descripteurs IGN] densité de population [Termes descripteurs IGN] données localisées des bénévoles [Termes descripteurs IGN] données massives [Termes descripteurs IGN] données statistiques [Termes descripteurs IGN] habitat collectif [Termes descripteurs IGN] habitat urbain [Termes descripteurs IGN] intégration de données [Termes descripteurs IGN] point d'intérêt [Termes descripteurs IGN] population urbaine [Termes descripteurs IGN] répartition géographique Résumé : (auteur) Fine-scale population distribution data at the building level play an essential role in numerous fields, for example urban planning and disaster prevention. The rapid technological development of remote sensing (RS) and geographical information system (GIS) in recent decades has benefited numerous population distribution mapping studies. However, most of these studies focused on global population and environmental changes; few considered fine-scale population mapping at the local scale, largely because of a lack of reliable data and models. As geospatial big data booms, Internet-collected volunteered geographic information (VGI) can now be used to solve this problem. This article establishes a novel framework to map urban population distributions at the building scale by integrating multisource geospatial big data, which is essential for the fine-scale mapping of population distributions. First, Baidu points-of-interest (POIs) and real-time Tencent user densities (RTUD) are analyzed by using a random forest algorithm to down-scale the street-level population distribution to the grid level. Then, we design an effective iterative building-population gravity model to map population distributions at the building level. Meanwhile, we introduce a densely inhabited index (DII), generated by the proposed gravity model, which can be used to estimate the degree of residential crowding. According to a comparison with official community-level census data and the results of previous population mapping methods, our method exhibits the best accuracy (Pearson R = .8615, RMSE = 663.3250, p Numéro de notice : A2017-245 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2017.1290252 En ligne : http://dx.doi.org/10.1080/13658816.2017.1290252 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85188 [article]

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Improving large area population mapping using geotweet densities / Nirav N. Patel in Transactions in GIS, vol 21 n° 2 (April 2017)  

Public [article]  inTransactions in GIS > vol 21 n° 2 (April 2017) . - pp 317 – 331 Titre : Improving large area population mapping using geotweet densities Type de document : Article/Communication Auteurs : Nirav N. Patel, Auteur ; Forrest R. Stevens, Auteur ; Zhuojie Huang, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 317 – 331 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] cartographie dynamique [Termes descripteurs IGN] cartographie statistique [Termes descripteurs IGN] classification par forêts aléatoires [Termes descripteurs IGN] densité de population [Termes descripteurs IGN] données issues des réseaux sociaux [Termes descripteurs IGN] Indonésie [Termes descripteurs IGN] recensement [Termes descripteurs IGN] répartition géographique [Termes descripteurs IGN] Twitter [Vedettes matières IGN] Géovisualisation Résumé : (auteur) Many different methods are used to disaggregate census data and predict population densities to construct finer scale, gridded population data sets. These methods often involve a range of high resolution geospatial covariate datasets on aspects such as urban areas, infrastructure, land cover and topography; such covariates, however, are not directly indicative of the presence of people. Here we tested the potential of geo-located tweets from the social media application, Twitter, as a covariate in the production of population maps. The density of geo-located tweets in 1x1 km grid cells over a 2-month period across Indonesia, a country with one of the highest Twitter usage rates in the world, was input as a covariate into a previously published random forests-based census disaggregation method. Comparison of internal measures of accuracy and external assessments between models built with and without the geotweets showed that increases in population mapping accuracy could be obtained using the geotweet densities as a covariate layer. The work highlights the potential for such social media-derived data in improving our understanding of population distributions and offers promise for more dynamic mapping with such data being continually produced and freely available. Numéro de notice : A2017-166 Thématique : GEOMATIQUE/SOCIETE NUMERIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern En ligne : http://dx.doi.org/10.1111/tgis.12214 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84700 [article]

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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Développement d'un outil cartographique dasymétrique pour la modélisation de la répartition de densité de population / Safa Fennia (2017)

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Redistribution population data across a regular spatial grid according to buildings characteristics / Beata Calka in Geodesy and cartography, vol 65 n° 2 (December 2016)  

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Évolution spatiotemporelle de l’exposition humaine face au tsunami à Padang : diagnostic de la vulnérabilité et des capacités d’évacuations à l’échelle infra-urbaine / Henky Mayaguezz in Revue internationale de géomatique, vol 26 n° 3 (juillet - septembre 2016)  

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Optimisation d'un service d'autopartage de véhicules électriques / Amine Ait-Ouahmed in Revue internationale de géomatique, vol 26 n° 2 (avril - juin 2016)  

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An interactive system for intrinsic validation of citizen science data for species distribution mapping and modelling applications / Hossein Vahidi (2016) 

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Range-expanding wildlife: modelling the distribution of large mammals in Japan, with management implications / Masayuki U. Saito in International journal of geographical information science IJGIS, vol 30 n° 1-2 (January - February 2016)  

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Spatial distribution of coal quality parameters with respect to production requirements: an adaptive neuro-fuzzy application for the Can coal field (Turkey) / Ali Kayabasi in Geocarto international, vol 31 n° 1 - 2 (January - February 2016)  

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Residual vegetation patches within natural boreal wild fires: Characterizing by pattern metrics, land cover expec tations and proximity to firebreak features / Yikalo H. Araya in Geomatica [en ligne], vol 69 n° 4 (December 2015)  

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SIFlore, a dataset of geographical distribution of vascular plants covering five centuries of knowledge in France: Results of a collaborative project coordinated by the Federation of the National Botanical Conservatories / Anaïs Just in PhytoKeys, n° 56 (2015)    

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