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Reproducible research and GIScience: An evaluation using GIScience conference papers / Franck O. Ostermann (2021)
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Titre : Reproducible research and GIScience: An evaluation using GIScience conference papers Type de document : Article/Communication Auteurs : Franck O. Ostermann, Auteur ; Daniel Nüst, Auteur ; Carlos Granell, Auteur ; Barbara Hofer, Auteur ; Markus Konkol, Auteur Editeur : Leibniz [Allemagne] : Schloss Dagstuhl – Leibniz-Zentrum für Informatik Année de publication : 2021 Conférence : GIScience 2021, 11th International Conference on Geographic Information Science 27/09/2021 30/09/2021 Poznań Pologne Open Access Proceedings Importance : 16 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Société de l'information
[Termes IGN] code source libre
[Termes IGN] données ouvertes
[Termes IGN] information géographique
[Termes IGN] recherche scientifique
[Termes IGN] reproductibilitéRésumé : (auteur) GIScience conference authors and researchers face the same computational reproducibility challenges as authors and researchers from other disciplines who use computers to analyse data. Here, to assess the reproducibility of GIScience research, we apply a rubric for assessing the reproducibility of 75 conference papers published at the GIScience conference series in the years 2012-2018. Since the rubric and process were previously applied to the publications of the AGILE conference series, this paper itself is an attempt to replicate that analysis, however going beyond the previous work by evaluating and discussing proposed measures to improve reproducibility in the specific context of the GIScience conference series. The results of the GIScience paper assessment are in line with previous findings: although descriptions of workflows and the inclusion of the data and software suffice to explain the presented work, in most published papers they do not allow a third party to reproduce the results and findings with a reasonable effort. We summarise and adapt previous recommendations for improving this situation and propose the GIScience community to start a broad discussion on the reusability, quality, and openness of its research. Further, we critically reflect on the process of assessing paper reproducibility, and provide suggestions for improving future assessments. The code and data for this article are published at https://doi.org/10.5281/zenodo.4032875. Numéro de notice : C2021-080 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE/INFORMATIQUE/SOCIETE NUMERIQUE Nature : Communication DOI : 10.4230/LIPIcs.GIScience.2021.II.2 Date de publication en ligne : 14/09/2021 En ligne : https://doi.org/10.4230/LIPIcs.GIScience.2021.II.2 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100938 Quality assessment of photogrammetric methods - A workflow for reproducible UAS orthomosaics / Marvin Ludwig in Remote sensing, vol 12 n° 22 (December-1 2020)
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Titre : Quality assessment of photogrammetric methods - A workflow for reproducible UAS orthomosaics Type de document : Article/Communication Auteurs : Marvin Ludwig, Auteur ; Christian M. Runge, Auteur ; Nicolas Friess, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : n° 3831 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] analyse diachronique
[Termes IGN] capteur optique
[Termes IGN] chaîne de traitement
[Termes IGN] image à très haute résolution
[Termes IGN] image captée par drone
[Termes IGN] orthoimage
[Termes IGN] orthoimage géoréférencée
[Termes IGN] orthophotoplan numérique
[Termes IGN] photogrammétrie aérienne
[Termes IGN] point de vérification
[Termes IGN] reproductibilité
[Termes IGN] série temporelleRésumé : (auteur) Unmanned aerial systems (UAS) are cost-effective, flexible and offer a wide range of applications. If equipped with optical sensors, orthophotos with very high spatial resolution can be retrieved using photogrammetric processing. The use of these images in multi-temporal analysis and the combination with spatial data imposes high demands on their spatial accuracy. This georeferencing accuracy of UAS orthomosaics is generally expressed as the checkpoint error. However, the checkpoint error alone gives no information about the reproducibility of the photogrammetrical compilation of orthomosaics. This study optimizes the geolocation of UAS orthomosaics time series and evaluates their reproducibility. A correlation analysis of repeatedly computed orthomosaics with identical parameters revealed a reproducibility of 99% in a grassland and 75% in a forest area. Between time steps, the corresponding positional errors of digitized objects lie between 0.07 m in the grassland and 0.3 m in the forest canopy. The novel methods were integrated into a processing workflow to enhance the traceability and increase the quality of UAS remote sensing. Numéro de notice : A2020-794 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/rs12223831 Date de publication en ligne : 22/11/2020 En ligne : https://doi.org/10.3390/rs12223831 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96573
in Remote sensing > vol 12 n° 22 (December-1 2020) . - n° 3831[article]A citSci approach for rapid earthquake intensity mapping: a case study from Istanbul (Turkey) / Ilyas Yalcin in ISPRS International journal of geo-information, vol 9 n° 4 (April 2020)
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Titre : A citSci approach for rapid earthquake intensity mapping: a case study from Istanbul (Turkey) Type de document : Article/Communication Auteurs : Ilyas Yalcin, Auteur ; Sultan Aksakal Kocaman, Auteur ; Candan Gokceoglu, Auteur Année de publication : 2020 Article en page(s) : 15 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] carte sismologique
[Termes IGN] données localisées des bénévoles
[Termes IGN] gestion des risques
[Termes IGN] Istanbul (Turquie)
[Termes IGN] krigeage
[Termes IGN] risque naturel
[Termes IGN] science citoyenneRésumé : (auteur) Nowadays several scientific disciplines utilize Citizen Science (CitSci) as a research approach. Natural hazard research and disaster management also benefit from CitSci since people can provide geodata and the relevant attributes using their mobile devices easily and rapidly during or after an event. An earthquake, depending on its intensity, is among the highly destructive natural hazards. Coordination efforts after a severe earthquake event are vital to minimize its harmful effects and timely in-situ data are crucial for this purpose. The aim of this study is to perform a CitSci pilot study to demonstrate the usability of data obtained by volunteers (citizens) for creating earthquake iso-intensity maps in a short time. The data were collected after a 5.8 Mw Istanbul earthquake which occurred on 26 September 2019. Through the mobile app “I felt the quake”, citizen observations regarding the earthquake intensity were collected from various locations. The intensity values in the app represent a revised form of the Mercalli intensity scale. The iso-intensity map was generated using a spatial kriging algorithm and compared with the one produced by The Disaster and Emergency Management Presidency (AFAD), Turkey, empirically. The results show that collecting the intensity information via trained users is a plausible method for producing such maps. Numéro de notice : A2020-264 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi9040266 Date de publication en ligne : 20/04/2020 En ligne : https://doi.org/10.3390/ijgi9040266 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95027
in ISPRS International journal of geo-information > vol 9 n° 4 (April 2020) . - 15 p.[article]Use of automated change detection and VGI sources for identifying and validating urban land use change / Ana-Maria Olteanu-Raimond in Remote sensing, vol 12 n° 7 (April 2020)
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Titre : Use of automated change detection and VGI sources for identifying and validating urban land use change Type de document : Article/Communication Auteurs : Ana-Maria Olteanu-Raimond , Auteur ; L. See, Auteur ; M. Schultz, Auteur ; Giles M. Foody, Auteur ; M. Riffler, Auteur ; T. Gasber, Auteur ; Laurence Jolivet
, Auteur ; Arnaud Le Bris
, Auteur ; Yann Méneroux
, Auteur ; Lanfa Liu, Auteur ; Marc Poupée
, Auteur ; Marie Gombert, Auteur
Année de publication : 2020 Projets : Landsense / Raimond, Ana-Maria Article en page(s) : n° 1186 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] carte d'utilisation du sol
[Termes IGN] cartographie collaborative
[Termes IGN] changement d'utilisation du sol
[Termes IGN] détection automatique
[Termes IGN] détection de changement
[Termes IGN] données localisées des bénévoles
[Termes IGN] estimation de précision
[Termes IGN] science citoyenne
[Termes IGN] zone urbaineRésumé : (Auteur) Land use and land cover (LULC) mapping is often undertaken by national mapping agencies, where these LULC products are used for different types of monitoring and reporting applications. Updating of LULC databases is often done on a multi-year cycle due to the high costs involved, so changes are only detected when mapping exercises are repeated. Consequently, the information on LULC can quickly become outdated and hence may be incorrect in some areas. In the current era of big data and Earth observation, change detection algorithms can be used to identify changes in urban areas, which can then be used to automatically update LULC databases on a more continuous basis. However, the change detection algorithm must be validated before the changes can be committed to authoritative databases such as those produced by national mapping agencies. This paper outlines a change detection algorithm for identifying construction sites, which represent ongoing changes in LU, developed in the framework of the LandSense project. We then use volunteered geographic information (VGI) captured through the use of mapathons from a range of different groups of contributors to validate these changes. In total, 105 contributors were involved in the mapathons, producing a total of 2778 observations. The 105 contributors were grouped according to six different user-profiles and were analyzed to understand the impact of the experience of the users on the accuracy assessment. Overall, the results show that the change detection algorithm is able to identify changes in residential land use to an adequate level of accuracy (85%) but changes in infrastructure and industrial sites had lower accuracies (57% and 75 %, respectively), requiring further improvements. In terms of user profiles, the experts in LULC from local authorities, researchers in LULC at the French national mapping agency (IGN), and first-year students with a basic knowledge of geographic information systems had the highest overall accuracies (86.2%, 93.2%, and 85.2%, respectively). Differences in how the users approach the task also emerged, e.g., local authorities used knowledge and context to try to identify types of change while those with no knowledge of LULC (i.e., normal citizens) were quicker to choose ‘Unknown’ when the visual interpretation of a class was more difficult. Numéro de notice : A2020-243 Affiliation des auteurs : LASTIG+Ext (2016-2019) Autre URL associée : vers HAL Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/rs12071186 Date de publication en ligne : 07/04/2020 En ligne : https://doi.org/10.3390/rs12071186 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95217
in Remote sensing > vol 12 n° 7 (April 2020) . - n° 1186[article]An IEEE value loop of human-technology collaboration in geospatial information science / Liqiu Meng in Geo-spatial Information Science, vol 23 n° 1 (March 2020)
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Titre : An IEEE value loop of human-technology collaboration in geospatial information science Type de document : Article/Communication Auteurs : Liqiu Meng, Auteur Année de publication : 2020 Article en page(s) : pp 61- 67 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Information géographique
[Termes IGN] analyse géovisuelle
[Termes IGN] approche holistique
[Termes IGN] données localisées numériques
[Termes IGN] enrichissement sémantique
[Termes IGN] éthique
[Termes IGN] géographie sociale
[Termes IGN] information sémantique
[Termes IGN] intégration de données
[Termes IGN] intelligence artificielle
[Termes IGN] interface homme-machine
[Termes IGN] recherche interdisciplinaire
[Termes IGN] web sémantiqueRésumé : (auteur) Geosensing and social sensing as two digitalization mainstreams in big data era are increasingly converging toward an integrated system for the creation of semantically enriched digital Earth. Along with the rapid developments of AI technologies, this convergence has inevitably brought about a number of transformations. On the one hand, value-adding chains from raw data to products and services are becoming value-adding loops composed of four successive stages – Informing, Enabling, Engaging and Empowering (IEEE). Each stage is a dynamic loop for itself. On the other hand, the “human versus technology” relationship is upgraded toward a game-changing “human and technology” collaboration. The information loop is essentially shaped by the omnipresent reciprocity between humans and technologies as equal partners, co-learners and co-creators of new values.
The paper gives an analytical review on the mutually changing roles and responsibilities of humans and technologies in the individual stages of the IEEE loop, with the aim to promote a holistic understanding of the state of the art of geospatial information science. Meanwhile, the author elicits a number of challenges facing the interwoven human-technology collaboration. The transformation to a growth mind-set may take time to realize and consolidate. Research works on large-scale semantic data integration are just in the beginning. User experiences of geovisual analytic approaches are far from being systematically studied. Finally, the ethical concerns for the handling of semantically enriched digital Earth cover not only the sensitive issues related to privacy violation, copyright infringement, abuse, etc. but also the questions of how to make technologies as controllable and understandable as possible for humans and how to keep the technological ethos within its constructive sphere of societal influence.Numéro de notice : A2020-163 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10095020.2020.1718004 Date de publication en ligne : 23/01/2020 En ligne : https://doi.org/10.1080/10095020.2020.1718004 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94823
in Geo-spatial Information Science > vol 23 n° 1 (March 2020) . - pp 61- 67[article]Can school children support ecological research? Lessons from the Oak Bodyguard citizen science project / Bastien Castagneyrol in Citizen Science: Theory and Practice, vol 5 (2020)
PermalinkPromoting environmental justice through Integrated mapping approaches: the map of water conflicts in Andalusia (Spain) / Belen Pedregal in ISPRS International journal of geo-information, vol 9 n° 2 (February 2020)
PermalinkPermalinkPermalinkPermalinkPermalinkPermalinkTorch-Points3D: A modular multi-task framework for reproducible deep learning on 3D point clouds / Thomas Chaton (2020)
PermalinkTowards interoperable research infrastructures for environmental and earth sciences / Zhiming Zhao (2020)
PermalinkA representativeness-directed approach to mitigate spatial bias in VGI for the predictive mapping of geographic phenomena / Guiming Zhang in International journal of geographical information science IJGIS, vol 33 n° 9 (September 2019)
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