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Using integrated visualization techniques to investigate associations between cardiovascular health outcomes and residential migration in Auckland, New Zealand / Jinfeng Zhao in Cartography and Geographic Information Science, Vol 42 n° 5 (November 2015)
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Titre : Using integrated visualization techniques to investigate associations between cardiovascular health outcomes and residential migration in Auckland, New Zealand Type de document : Article/Communication Auteurs : Jinfeng Zhao, Auteur ; Daniel Exeter, Auteur ; Grant Hanham, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 381 - 397 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie numérique
[Termes IGN] analyse de données
[Termes IGN] analyse multicritère
[Termes IGN] cartogramme
[Termes IGN] migration humaine
[Termes IGN] Nouvelle-Zélande
[Termes IGN] santé
[Termes IGN] visualisation cartographiqueRésumé : (Auteur) The negative health effects of living in a deprived neighborhood may influence the incidence of cardiovascular disease (CVD), even after controlling for sociodemographic characteristics, and there is evidence that residential mobility is associated with mortality and morbidity rates. However, few studies have investigated the application of integrated visualization techniques and statistic modeling to communicate the association between residential mobility and cardiovascular outcomes. We focus on examining the association between cardiovascular health outcomes and patient migration in Auckland, New Zealand, in two ways. First, we assess the association between all-cause mortality among patients with CVD and deprivation mobility, controlling for age, gender and ethnicity using multiple logistic regression at the individual level, and then visualize the results. Second, we identify aggregated geographical patterns of prevalence of CVD stratified using migration status, area-deprivation, ethnicity, and geographical area using kriskograms, ring-cartograms, and ringmaps to visualize the results. We reveal distinct patterns for purposefully selected subgroups and highlight disparities by geographic area, deprivation, and ethnicity before discussing the implications of our findings in relation to migration and health outcomes. Numéro de notice : A2015-556 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2015.1013567 En ligne : https://doi.org/10.1080/15230406.2015.1013567 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77594
in Cartography and Geographic Information Science > Vol 42 n° 5 (November 2015) . - pp 381 - 397[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-2015051 RAB Revue Centre de documentation En réserve L003 Disponible Wide-area mapping of small-scale features in agricultural landscapes using airborne remote sensing / Jerome O’Connell in ISPRS Journal of photogrammetry and remote sensing, vol 109 (November 2015)
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Titre : Wide-area mapping of small-scale features in agricultural landscapes using airborne remote sensing Type de document : Article/Communication Auteurs : Jerome O’Connell, Auteur ; Ute Bradter, Auteur ; Tim G. Benton, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 165 - 177 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] algorithme d'apprentissage
[Termes IGN] analyse d'image orientée objet
[Termes IGN] Angleterre
[Termes IGN] Aves
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] habitat d'espèce
[Termes IGN] image aérienne
[Termes IGN] image infrarouge couleurRésumé : (auteur) Natural and semi-natural habitats in agricultural landscapes are likely to come under increasing pressure with the global population set to exceed 9 billion by 2050. These non-cropped habitats are primarily made up of trees, hedgerows and grassy margins and their amount, quality and spatial configuration can have strong implications for the delivery and sustainability of various ecosystem services. In this study high spatial resolution (0.5 m) colour infrared aerial photography (CIR) was used in object based image analysis for the classification of non-cropped habitat in a 10,029 ha area of southeast England. Three classification scenarios were devised using 4 and 9 class scenarios. The machine learning algorithm Random Forest (RF) was used to reduce the number of variables used for each classification scenario by 25.5 % ± 2.7%. Proportion of votes from the 4 class hierarchy was made available to the 9 class scenarios and where the highest ranked variables in all cases. This approach allowed for misclassified parent objects to be correctly classified at a lower level. A single object hierarchy with 4 class proportion of votes produced the best result (kappa 0.909). Validation of the optimum training sample size in RF showed no significant difference between mean internal out-of-bag error and external validation. As an example of the utility of this data, we assessed habitat suitability for a declining farmland bird, the yellowhammer (Emberiza citronella), which requires hedgerows associated with grassy margins. We found that ∼22% of hedgerows were within 200 m of margins with an area >183.31 m2. The results from this analysis can form a key information source at the environmental and policy level in landscape optimisation for food production and ecosystem service sustainability. Numéro de notice : A2015-862 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2015.09.007 Date de publication en ligne : 09/10/2015 En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2015.09.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79243
in ISPRS Journal of photogrammetry and remote sensing > vol 109 (November 2015) . - pp 165 - 177[article]Accelerated deforestation driven by large-scale land acquisitions in Cambodia / Kyle Frankel Davis in Nature geoscience, vol 8 n° 10 (October 2015)
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Titre : Accelerated deforestation driven by large-scale land acquisitions in Cambodia Type de document : Article/Communication Auteurs : Kyle Frankel Davis, Auteur ; Kailiang Yu, Auteur ; Maria Cristina Rulli, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 772 - 775 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Cambodge
[Termes IGN] couvert forestier
[Termes IGN] couvert végétal
[Termes IGN] déboisementRésumé : (auteur) Investment in agricultural land in the developing world has rapidly increased in the past two decades. In Cambodia, there has been a surge in economic land concessions, in which long-term leases are provided to foreign and domestic investors for economic development. More than two million hectares have been leased so far, sparking debate over the consequences for local communities and the environment. Here we combined official records of concession locations with a high-resolution data set of changes in forest cover to quantify the contribution of land concessions to deforestation between 2000 and 2012. We used covariate matching to control for variables other than classification as a concession that may influence forest loss. Nearly half of the area where concessions were granted between 2000 and 2012 was forested in 2000; this area then represented 12.4% of forest land cover in Cambodia. Within concessions, the annual rate of forest loss was between 29% and 105% higher than in comparable land areas outside concessions. Most of the deforestation within concessions occurred after the contract date, and whether an investor was domestic or foreign had no effect on deforestation rates. We conclude that land acquisitions can act as powerful drivers of deforestation. Numéro de notice : A2015-500 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1038/ngeo2540 En ligne : https://doi.org/10.1038/ngeo2540 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77330
in Nature geoscience > vol 8 n° 10 (October 2015) . - pp 772 - 775[article]Construction of 3D volumetric objects for a 3D cadastral system / Shen Ying in Transactions in GIS, vol 19 n° 5 (October 2015)
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Titre : Construction of 3D volumetric objects for a 3D cadastral system Type de document : Article/Communication Auteurs : Shen Ying, Auteur ; Renzhong Guo, Auteur ; Lin Li, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 758 – 779 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] adjacence
[Termes IGN] cadastre
[Termes IGN] cadastre 3D
[Termes IGN] modélisation 3D
[Termes IGN] parcelle cadastrale
[Termes IGN] reconstruction 3D
[Termes IGN] topologieRésumé : (auteur) This article presents a new method to illustrate the feasibility of 3D topology creation. We base the 3D construction process on testing real cases of implementation of 3D parcels construction in a 3D cadastral system. With the utilization and development of dense urban space, true 3D geometric volume primitives are needed to represent 3D parcels with the adjacency and incidence relationship. We present an effective straightforward approach to identifying and constructing the valid volumetric cadastral object from the given faces, and build the topological relationships among 3D cadastral objects on-the-fly, based on input consisting of loose boundary 3D faces made by surveyors. This is drastically different from most existing methods, which focus on the validation of single volumetric objects after the assumption of the object's creation. Existing methods do not support the needed types of geometry/topology (e.g. non 2-manifold, singularities) and how to create and maintain valid 3D parcels is still a challenge in practice. We will show that the method does not change the faces themselves and faces in a given input are independently specified. Various volumetric objects, including non-manifold 3D cadastral objects (legal spaces), can be constructed correctly by this method, as will be shown from the results. Numéro de notice : A2015-686 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12129 En ligne : http://dx.doi.org/10.1111/tgis.12129 Format de la ressource électronique : Url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78332
in Transactions in GIS > vol 19 n° 5 (October 2015) . - pp 758 – 779[article]Earth observation as a tool for tracking progress towards the Aichi Biodiversity Targets / Brian O’Connor in Remote sensing in ecology and conservation, vol 1 n° 1 (October 2015)
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Titre : Earth observation as a tool for tracking progress towards the Aichi Biodiversity Targets Type de document : Article/Communication Auteurs : Brian O’Connor, Auteur ; Cristina Secades, Auteur ; Jonathan Penner, Auteur ; Ruth Sonnenschein, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 19 - 28 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] biodiversité
[Termes IGN] changement climatique
[Termes IGN] indicateur de biodiversité
[Termes IGN] occupation du sol
[Termes IGN] télédétection
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) Biodiversity is continuing to decline. This crisis has been recognised by the Convention on Biological Diversity (CBD), whose members have set ambitious targets to avert ongoing declines in the state of biodiversity by 2020. These so called “Aichi Biodiversity Targets” (ABTs) are organized around five strategic goals, with indicators showing the level of progress made towards each target. Currently, measurements of many ABT indicators are not available. The Essential Biodiversity Variable (EBV) framework, developed by the Group on Earth Observations Biodiversity Observation Network (GEO BON), attempts to form a coherent and harmonised set of observations of biodiversity. In this paper, we explore the potential role of Earth Observation (EO) as a tool to support biodiversity monitoring against the ABT and EBV frameworks. We show that EO-based measurements are adequate for assessing progress towards 11 out of 20 ABTs. In addition, 14 of the 22 candidate EBVs have a fully or partly remotelysensed component and can be considered as Remote Sensing Essential Biodiversity Variables (RS-EBVs). Those with a partial EO component require further in-situ data and/or modelling effort to complete the EBV. While the status of biodiversity can be assessed with both fully and partly measured RS-EBVs, assessing trends is more challenging, particularly for partly measured RS-EBVs, as coincident time series of EO and supporting data are lacking. A synthetic pathway for developing generic biodiversity indicators using RS-EBVs is proposed. Numéro de notice : A2015--100 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET Nature : Article DOI : 10.1002/rse2.4 En ligne : http://doi.org/10.1002/rse2.4 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=87169
in Remote sensing in ecology and conservation > vol 1 n° 1 (October 2015) . - pp 19 - 28[article]Documents numériques
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Earth observation as a tool for tracking progress - pdf éditeurAdobe Acrobat PDFEfficiently computing the drainage network on massive terrains using external memory flooding process / Thiago L. Gomes in Geoinformatica, vol 19 n° 4 (October - December 2015)
PermalinkEstimating the yaw-attitude of an BDS IGSO and MEO satellites / Xiaolei Dai in Journal of geodesy, vol 89 n° 10 (october 2015)
PermalinkExceedance of critical loads and of critical limits impacts tree nutrition across Europe / Peter Waldner in Annals of Forest Science, vol 72 n° 7 (October 2015)
PermalinkA geometric method for wood-leaf separation using terrestrial and simulated Lidar data / Shengli Tao in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 10 (October 2015)
Permalinkvol 51 - 2015 - International Conference On Computational Science, ICCS 2015 Computational Science at the Gates of Nature (Bulletin de Procedia Computer Science) / Slawomir Koziel
PermalinkLand cover changes assessment using object-based image analysis in the Binah River watershed (Togo and Benin) / Hèou Maléki Badjana in Earth and space science, vol 2 n° 10 (October 2015)
PermalinkLeveraging in-scene spectra for vegetation species discrimination with MESMA-MDA / Brian D. Bue in ISPRS Journal of photogrammetry and remote sensing, vol 108 (October 2015)
PermalinkMAGI : A new high-performance airborne thermal-infrared imaging spectrometer for earth science applications / Jeffrey L. Hall in IEEE Transactions on geoscience and remote sensing, vol 53 n° 10 (October 2015)
PermalinkModélisation d’accompagnement en gestion conservatoire : Expérimentation au sein du réseau français Natura 2000 / Hélène Dupont in Revue internationale de géomatique, vol 25 n° 4 (octobre - décembre 2015)
PermalinkModélisation, simulation et analyse de propriétés de réseaux orbitèles / Didier Josselin in Revue internationale de géomatique, vol 25 n° 4 (octobre - décembre 2015)
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