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Auteur Marguerite Madden |
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Affiner la recherche Interroger des sources externesExtended reality in spatial sciences: A review of research challenges and future directions / Arzu Çöltekin in ISPRS International journal of geo-information, vol 9 n° 7 (July 2020)
Titre : Extended reality in spatial sciences: A review of research challenges and future directions Type de document : Article/Communication Auteurs : Arzu Çöltekin, Auteur ; Ian M. Lochhead, Auteur ; Marguerite Madden, Auteur ; Sidonie Christophe Année de publication : 2020 Projets : 1-Pas de projet / Article en page(s) : n° 439 Note générale : bibliographie
The work in this manuscript has been partially funded by (a) Masaryk University internal research grant MUNI/A/1356/2019, (b) Learning Technologies Grant from the University of Georgia Center for Teaching and Learning and (c) University of Applied Sciences and Arts Northwestern Switzerland internal research grant “TP3 VR Labs» (T440-0002-100).Langues : Anglais (eng) Descripteur : [Termes IGN] environnement géographique virtuel
[Termes IGN] réalité augmentée
[Termes IGN] réalité mixte
[Termes IGN] réalité virtuelle
[Termes IGN] recherche et développement
[Vedettes matières IGN] GéovisualisationRésumé : (auteur) This manuscript identifies and documents unsolved problems and research challenges in the extended reality (XR) domain (i.e., virtual (VR), augmented (AR), and mixed reality (MR)). The manuscript is structured to include technology, design, and human factor perspectives. The text is visualization/display-focused, that is, other modalities such as audio, haptic, smell, and touch, while important for XR, are beyond the scope of this paper. We further narrow our focus to mainly geospatial research, with necessary deviations to other domains where these technologies are widely researched. The main objective of the study is to provide an overview of broader research challenges and directions in XR, especially in spatial sciences. Aside from the research challenges identified based on a comprehensive literature review, we provide case studies with original results from our own studies in each section as examples to demonstrate the relevance of the challenges in the current research. We believe that this paper will be of relevance to anyone who has scientific interest in extended reality, and/or uses these systems in their research. Numéro de notice : A2020-418 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi9070439 Date de publication en ligne : 15/07/2020 En ligne : https://doi.org/10.3390/ijgi9070439 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95527
in ISPRS International journal of geo-information > vol 9 n° 7 (July 2020) . - n° 439[article]
Titre : Towards SDG 4: trade-offs for geospatial open educational resources Type de document : Article/Communication Auteurs : Serena Coetzee, Auteur ; Victoria Rautenbach, Auteur ; Arzu Çöltekin, Auteur ; Christopher Pettit, Auteur ; Marguerite Madden, Auteur ; Sidonie Christophe 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-B5-2020 Projets : 1-Pas de projet / Conférence : ISPRS 2020, Commission 5, virtual Congress, Imaging today foreseeing tomorrow 31/08/2020 02/09/2020 Nice (en ligne) France Archives Commission 5 Importance : pp 199 - 205 Format : 21 x 30 cm Note générale : bibliographie
This research was supported by a grant from the 2018 ISPRS Education and Capacity Building Initiatives.Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Formation
[Termes IGN] catalogue de données localisées
[Termes IGN] formation initiale
[Termes IGN] métadonnées
[Termes IGN] métadonnées géographiques
[Termes IGN] ressources documentairesRésumé : (auteur) Through the ISPRS scientific initiative presented in this paper, we aim to make geospatial educational resources available and discoverable to those who teach and those who want to learn. In earlier work, we designed and implemented a prototype catalogue for geospatial educational resources, aimed at a target audience in higher education. The success of search and discovery in any catalogue relies heavily on the metadata that describes catalogue entries. Initial feedback showed that users find it difficult to use some of the metadata elements in the prototype to describe their teaching materials. In order to better understand their difficulties and further refine the metadata for describing educational resources that are used for geospatial purposes specifically, we asked a number of participants to describe geospatial educational resources according to four sets of metadata attributes. This paper presents the results of the study and recommends a set of metadata attributes that are specifically useful for geospatial educational resources. Implementation trade-offs are discussed, e.g., deciding between metadata attributes that are very specific or more generic, and catalogue entries that are immediately available to Web search engines without any quality checks vs. catalogue entries that are moderated by a community of educators before publishing them. By providing metadata about geospatial educational resources, the international geospatial community can contribute to the UN Sustainable Development Goal 4 to ensure inclusive and equitable quality education and to promote lifelong learning opportunities for all. Numéro de notice : C2020-010 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprs-archives-XLIII-B5-2020-199-2020 Date de publication en ligne : 24/08/2020 En ligne : https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-199-2020 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95661
Titre : Information from imagery: ISPRS scientific vision and research agenda Type de document : Article/Communication Auteurs : Jun Chen, Auteur ; Ian J. Dowman, Auteur ; Songnian Li, Auteur ; Zhilin li, Auteur ; Marguerite Madden, Auteur ; Jon Mills, Auteur ; Nicolas Paparoditis Année de publication : 2016 Article en page(s) : pp 3 – 21 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] image à haute résolution
[Termes IGN] information géographique
[Termes IGN] informatique ubiquitaire
[Termes IGN] recherche et développement
[Termes IGN] technologies de l'information et de la communication
[Termes IGN] télédétection spatialeMots-clés libres : Research agenda Photogrammetry Remote sensing Spatial information science Résumé : (auteur) With the increased availability of very high-resolution satellite imagery, terrain based imaging and participatory sensing, inexpensive platforms, and advanced information and communication technologies, the application of imagery is now ubiquitous, playing an important role in many aspects of life and work today. As a leading organisation in this field, the International Society for Photogrammetry and Remote Sensing (ISPRS) has been devoted to effectively and efficiently obtaining and utilising information from imagery since its foundation in the year 1910. This paper examines the significant challenges currently facing ISPRS and its communities, such as providing high-quality information, enabling advanced geospatial computing, and supporting collaborative problem solving. The state-of-the-art in ISPRS related research and development is reviewed and the trends and topics for future work are identified. By providing an overarching scientific vision and research agenda, we hope to call on and mobilise all ISPRS scientists, practitioners and other stakeholders to continue improving our understanding and capacity on information from imagery and to deliver advanced geospatial knowledge that enables humankind to better deal with the challenges ahead, posed for example by global change, ubiquitous sensing, and a demand for real-time information generation. Numéro de notice : A2016-541 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2015.09.008 Date de publication en ligne : 09/10/2015 En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2015.09.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81686
in ISPRS Journal of photogrammetry and remote sensing > vol 115 (May 2016) . - pp 3 – 21[article]vol 115 - May 2016 - State-of-the-art in photogrammetry, remote sensing and spatial information science (Bulletin de ISPRS Journal of photogrammetry and remote sensing) / Christian Heipke
est un bulletin de ISPRS Journal of photogrammetry and remote sensing / International society for photogrammetry and remote sensing (1980 -) (1990 -)
Titre : vol 115 - May 2016 - State-of-the-art in photogrammetry, remote sensing and spatial information science Type de document : Périodique Auteurs : Christian Heipke, Éditeur scientifique ; Marguerite Madden, Éditeur scientifique ; Zhilin Li, Éditeur scientifique ; Ian J. Dowman, Éditeur scientifique Année de publication : 2016 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie spatiale
[Termes IGN] image spatiale
[Termes IGN] photogrammétrie numérique
[Termes IGN] télédétectionNuméro de notice : 081-201605 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Numéro de périodique En ligne : http://www.sciencedirect.com/science/journal/09242716/115 Format de la ressource électronique : URL sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=27168 [n° ou bulletin]
- Information from imagery: ISPRS scientific vision and research agenda / Jun Chen in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)
- Remote sensing platforms and sensors: A survey / Charles K. Toth in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)
- Sensor modelling and camera calibration for close-range photogrammetry / Thomas Luhmann in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)
- Recent developments in large-scale tie-point matching / Wilfried Hartmann in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)
- Terrestrial laser scanning in forest inventories / Xinlian Liang in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)
- Persistent Scatterer Interferometry: A review / Michele Crosetto in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)
- Geospatial big data handling theory and methods: A review and research challenges / Songnian Li in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)
- Rethinking big data: A review on the data quality and usage issues / Jianzheng Liu in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)
Titre : Lidar detection of the ten tallest trees in the Tennessee portion of the Great Smoky Mountains national park Type de document : Article/Communication Auteurs : Chris W. Strother, Auteur ; Marguerite Madden, Auteur ; Thomas R. Jordan, Auteur ; Andrea Presotto, Auteur Année de publication : 2015 Article en page(s) : pp 407 - 413 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] arbre (flore)
[Termes IGN] arbre remarquable
[Termes IGN] hauteur des arbres
[Termes IGN] lever mobile
[Termes IGN] modèle numérique de surface
[Termes IGN] parc naturel
[Termes IGN] Tennessee (Etats-Unis)Résumé : (auteur) This paper describes a method for predicting the locations and heights of the ten tallest trees in the Tennessee portion of the Great Smoky Mountains National Park. Iterative computation tools were utilized to process the data along with the lidar derived bare earth digital elevation models and digital surface models to create canopy height models for the Tennessee portion of the park. A height threshold of 51.8 meters was chosen as the minimum value for a tree of extraordinary height. Ten potential sites containing tall trees were identified using this methodology, and seven of the top ten ranking trees’ heights were field measured using accepted forestry methodology. The trees detected using these methods are potentially the tallest trees ever measured on the East Coast of the United States. These methods show that unique tall trees can be successfully detected in a large, heterogeneous forest area using lidar data. Numéro de notice : A2015-975 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.81.5.407 En ligne : https://doi.org/10.14358/PERS.81.5.407 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80045
in Photogrammetric Engineering & Remote Sensing, PERS > vol 81 n° 5 (May 2015) . - pp 407 - 413[article]
