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Predicting temperate forest stand types using only structural profiles from discrete return airborne lidar / Melissa Fedrigo in ISPRS Journal of photogrammetry and remote sensing, vol 136 (February 2018)
[article]
Titre : Predicting temperate forest stand types using only structural profiles from discrete return airborne lidar Type de document : Article/Communication Auteurs : Melissa Fedrigo, Auteur ; Glenn J. Newnham, Auteur ; Nicholas C. Coops, Auteur ; Darius S. Culvenor, Auteur ; Douglas K. Bolton, Auteur ; Craig R. Nitschke, Auteur Année de publication : 2018 Article en page(s) : pp 106 - 119 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse en composantes principales
[Termes IGN] analyse linéaire des mélanges spectraux
[Termes IGN] Australie
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] Eucalyptus (genre)
[Termes IGN] forêt tempérée
[Termes IGN] peuplement forestier
[Termes IGN] prédiction
[Termes IGN] strate végétaleRésumé : (Auteur) Light detection and ranging (lidar) data have been increasingly used for forest classification due to its ability to penetrate the forest canopy and provide detail about the structure of the lower strata. In this study we demonstrate forest classification approaches using airborne lidar data as inputs to random forest and linear unmixing classification algorithms. Our results demonstrated that both random forest and linear unmixing models identified a distribution of rainforest and eucalypt stands that was comparable to existing ecological vegetation class (EVC) maps based primarily on manual interpretation of high resolution aerial imagery. Rainforest stands were also identified in the region that have not previously been identified in the EVC maps. The transition between stand types was better characterised by the random forest modelling approach. In contrast, the linear unmixing model placed greater emphasis on field plots selected as endmembers which may not have captured the variability in stand structure within a single stand type. The random forest model had the highest overall accuracy (84%) and Cohen’s kappa coefficient (0.62). However, the classification accuracy was only marginally better than linear unmixing. The random forest model was applied to a region in the Central Highlands of south-eastern Australia to produce maps of stand type probability, including areas of transition (the ‘ecotone’) between rainforest and eucalypt forest. The resulting map provided a detailed delineation of forest classes, which specifically recognised the coalescing of stand types at the landscape scale. This represents a key step towards mapping the structural and spatial complexity of these ecosystems, which is important for both their management and conservation. Numéro de notice : A2018-074 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2017.11.018 Date de publication en ligne : 29/12/2017 En ligne : https://doi.org/10.1016/j.isprsjprs.2017.11.018 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89438
in ISPRS Journal of photogrammetry and remote sensing > vol 136 (February 2018) . - pp 106 - 119[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2018021 RAB Revue Centre de documentation En réserve L003 Disponible 081-2018023 RAB Revue Centre de documentation En réserve L003 Disponible 081-2018022 DEP-EAF Revue Nancy Dépôt en unité Exclu du prêt The first Australian gravimetric quasigeoid model with location-specific uncertainty estimates / Will E. Featherstone in Journal of geodesy, vol 92 n° 2 (February 2018)
[article]
Titre : The first Australian gravimetric quasigeoid model with location-specific uncertainty estimates Type de document : Article/Communication Auteurs : Will E. Featherstone, Auteur ; Jack C. McCubbine, Auteur ; Nicholas J. Brown, Auteur ; S.J. Claessens, Auteur ; M. S. Filmer, Auteur ; J.F. Kirby, Auteur Année de publication : 2018 Article en page(s) : pp 149 - 168 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie physique
[Termes IGN] Australie
[Termes IGN] géoïde gravimétrique
[Termes IGN] géoïde local
[Termes IGN] propagation d'erreur
[Termes IGN] quasi-géoïdeRésumé : (Auteur) We describe the computation of the first Australian quasigeoid model to include error estimates as a function of location that have been propagated from uncertainties in the EGM2008 global model, land and altimeter-derived gravity anomalies and terrain corrections. The model has been extended to include Australia’s offshore territories and maritime boundaries using newer datasets comprising an additional ∼280,000 land gravity observations, a newer altimeter-derived marine gravity anomaly grid, and terrain corrections at 1′′×1′′ resolution. The error propagation uses a remove–restore approach, where the EGM2008 quasigeoid and gravity anomaly error grids are augmented by errors propagated through a modified Stokes integral from the errors in the altimeter gravity anomalies, land gravity observations and terrain corrections. The gravimetric quasigeoid errors (one sigma) are 50–60 mm across most of the Australian landmass, increasing to ∼100 mm in regions of steep horizontal gravity gradients or the mountains, and are commensurate with external estimates. Numéro de notice : A2018-059 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s00190-017-1053-7 En ligne : https://doi.org/10.1007/s00190-017-1053-7 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89392
in Journal of geodesy > vol 92 n° 2 (February 2018) . - pp 149 - 168[article]Remote sensing scene classification by unsupervised representation learning / Xiaoqiang Lu in IEEE Transactions on geoscience and remote sensing, vol 55 n° 9 (September 2017)
[article]
Titre : Remote sensing scene classification by unsupervised representation learning Type de document : Article/Communication Auteurs : Xiaoqiang Lu, Auteur ; Xiangtao Zheng, Auteur ; Yuan Yuan, Auteur Année de publication : 2017 Article en page(s) : pp 5148 - 5157 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] apprentissage non-dirigé
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] déconvolution
[Termes IGN] image à haute résolution
[Termes IGN] réseau neuronal artificiel
[Termes IGN] scène
[Termes IGN] Sydney (Nouvelle-Galles du Sud)Résumé : (Auteur) With the rapid development of the satellite sensor technology, high spatial resolution remote sensing (HSR) data have attracted extensive attention in military and civilian applications. In order to make full use of these data, remote sensing scene classification becomes an important and necessary precedent task. In this paper, an unsupervised representation learning method is proposed to investigate deconvolution networks for remote sensing scene classification. First, a shallow weighted deconvolution network is utilized to learn a set of feature maps and filters for each image by minimizing the reconstruction error between the input image and the convolution result. The learned feature maps can capture the abundant edge and texture information of high spatial resolution images, which is definitely important for remote sensing images. After that, the spatial pyramid model (SPM) is used to aggregate features at different scales to maintain the spatial layout of HSR image scene. A discriminative representation for HSR image is obtained by combining the proposed weighted deconvolution model and SPM. Finally, the representation vector is input into a support vector machine to finish classification. We apply our method on two challenging HSR image data sets: the UCMerced data set with 21 scene categories and the Sydney data set with seven land-use categories. All the experimental results achieved by the proposed method outperform most state of the arts, which demonstrates the effectiveness of the proposed method. Numéro de notice : A2017-664 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2017.2702596 En ligne : http://dx.doi.org/10.1109/TGRS.2017.2702596 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=87103
in IEEE Transactions on geoscience and remote sensing > vol 55 n° 9 (September 2017) . - pp 5148 - 5157[article]Automatic spatial metadata systems – the case of Australian urban research infrastructure network / Moshen Kalantari in Cartography and Geographic Information Science, Vol 44 n° 4 (July 2017)
[article]
Titre : Automatic spatial metadata systems – the case of Australian urban research infrastructure network Type de document : Article/Communication Auteurs : Moshen Kalantari, Auteur ; Abbas Rajabifard, Auteur ; Hamed Olfat, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 327 - 337 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Infrastructure de données
[Termes IGN] accessibilité
[Termes IGN] Australie
[Termes IGN] infrastructure urbaine de données localisées
[Termes IGN] métadonnées géographiques
[Termes IGN] mise à jour de base de données
[Termes IGN] norme
[Termes IGN] système de gestion de base de données
[Termes IGN] utilisateurRésumé : (auteur) The increasing amount of spatial data demands effective and efficient methods for managing them in spatial data infrastructures (SDIs). Metadata standards have been developed in response to the needs of data custodians who manage these ever-growing resources and in recognition of the end users’ need for easy access and discovery of spatial data. Data custodians prepare metadata records and allow SDIs to harvest them. The harvesting can be undertaken through metadata standards or data service standards. The metadata updating processes are not efficient and, therefore, create a disjoint between the data and its metadata. As a result, end users cannot realize the full potential of metadata records. In addressing this issue, the paper presents an automatic spatial metadata system with a suite of functions including metadata monitoring, enrichment, and maintenance to enable the data custodians to manage the integrity of their metadata records in SDIs. These functions have been demonstrated and reviewed through a case study in the Australian Urban Infrastructure Network (AURIN). Using these functions, AURIN’s data custodians have been able to offer over 1200 coherent and consistent spatial metadata records to end users. Numéro de notice : A2017-224 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2016.1154805 En ligne : http://dx.doi.org/10.1080/15230406.2016.1154805 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85105
in Cartography and Geographic Information Science > Vol 44 n° 4 (July 2017) . - pp 327 - 337[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-2017041 RAB Revue Centre de documentation En réserve L003 Disponible Extending a BIM-based data model to support 3D digital management of complex ownership spaces / Behnam Atazadeh in International journal of geographical information science IJGIS, vol 31 n° 3-4 (March-April 2017)
[article]
Titre : Extending a BIM-based data model to support 3D digital management of complex ownership spaces Type de document : Article/Communication Auteurs : Behnam Atazadeh, Auteur ; Moshen Kalantari, Auteur ; Abbas Rajabifard, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 499 - 522 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] Australie
[Termes IGN] droit foncier
[Termes IGN] modélisation 3D du bâti BIM
[Termes IGN] propriété foncière
[Termes IGN] visualisation 3DRésumé : (Auteur) Currently, 2D-based analogue building subdivision plans are used to represent the spatial extent of private, public and communal property ownership rights. These plans are recognized as posing a range of challenges in terms of communicating the spatial complexity of ownership spaces within multi-storey buildings. In response to these challenges, three-dimensional (3D) digital data environments are being investigated as a potential approach for managing complex, vertically stratified ownership arrangements. The argument presented in this article is that Building Information Modelling (BIM) can be adopted for 3D digital management of data related to complex ownership spaces. BIM provides a common and 3D digital data sharing space, underpinning a reliable basis for facilitating collaboration and decision-making over the lifecycle of buildings. However, ownership attributes and the spatial structure of ownership arrangements inside buildings are yet to be accommodated within the BIM data environment. In this article, we present a range of required data elements for managing complex ownership spaces, which have been elicited by investigating current practices pertaining to subdivision of ownership spaces within multi-storey buildings in Melbourne, Australia. An open data model in the BIM domain is extended with these data elements and a prototype model for a real multi-storey building is implemented to demonstrate the viability of the extended data model for 3D digital management and visualization of data related to complex ownership arrangements. Numéro de notice : A2017-077 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2016.1207775 En ligne : http://dx.doi.org/10.1080/13658816.2016.1207775 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84339
in International journal of geographical information science IJGIS > vol 31 n° 3-4 (March-April 2017) . - pp 499 - 522[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-2017021 RAB Revue Centre de documentation En réserve L003 Disponible 079-2017022 RAB Revue Centre de documentation En réserve L003 Disponible A hybrid genetic algorithm with local optimiser improves calibration of a vegetation change cellular automata model / Rachel Whitsed in International journal of geographical information science IJGIS, vol 31 n° 3-4 (March-April 2017)PermalinkDéveloppement d'un outil de lecture et de traitement des observations satellitaires des capteurs "Ocean & Land Colour Imager" et "Multi-Spectral Imager" / Gabriel Calassou (2017)PermalinkMapping individual tree health using full-waveform airborne laser scans and imaging spectroscopy: A case study for a floodplain eucalypt forest / Iurii Shendryk in Remote sensing of environment, vol 187 (15 December 2016)PermalinkL'Australie bouge : pourquoi ce nouveau "buzz" dans nos médias / Françoise Duquenne in XYZ, n° 149 (décembre 2016 - février 2017)PermalinkApplication of satellite navigation system for emergency warning and alerting / Suelynn Choy in Computers, Environment and Urban Systems, vol 58 (July 2016)PermalinkEmergency management perspectives on volunteered geographic information: Opportunities, challenges and change / Billy Haworth in Computers, Environment and Urban Systems, vol 57 (May 2016)PermalinkSurveying graffiti, an emerging culture / Anonyme in Position, n° 81 (February - March 2016)PermalinkAssessment of forest canopy vertical structure with multi - scale remote sensing : from the plot to the large area / Phil Wilkes (2016)PermalinkPermalinkOcular robotics : The world's most dynamic eye / Ocular robotics in GIM international [en ligne], vol 29 n° 12 (December 2015)PermalinkSocio-economic benefits from protected areas in southeastern Australia / E.C. Heagney in Conservation biology, vol 29 n° 6 (December 2015)PermalinkDriving intelligent transport / Danielle Mulligan in Position, n° 79 (October - November 2015)PermalinkUpdated best practice for EDM calibrations in New South Wales / Volker Janssen in Position, n° 78 (August - September 2015)PermalinkHow good is AUSGeoid09 in the Blue Mountains ? / Joseph Allerton in Position, n° 77 (June - July 2015)PermalinkValidation of canopy height profile methodology for small-footprint full-waveform airborne LiDAR data in a discontinuous canopy environment / Karolina D. Fieber in ISPRS Journal of photogrammetry and remote sensing, vol 104 (June 2015)PermalinkMulti-GNSS enabling Australia's positioning infrastructure / Matt Higgins in Position, n° 76 (April - May 2015)PermalinkPredicting floods with GPS / Paul Grad in Position, n° 76 (April - May 2015)PermalinkExhibiting the exhibitors: spatial visualization for heterogeneous cinema venue data / Colin Arrowsmth in Cartographic journal (the), vol 51 n° 4 (November 2014)PermalinkNon-linear motions of Australian geodetic stations induced by non-tidal ocean loading and the passage of tropical cyclones / A. Mémin in Journal of geodesy, vol 88 n° 10 (October 2014)PermalinkEvaluation of the third- and fourth-generation GOCE Earth gravity field models with Australian terrestrial gravity data in spherical harmonics / Moritz Rexer in Journal of geodesy, vol 88 n° 4 (April 2014)Permalink