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Accuracy analysis of UAV photogrammetry using RGB and multispectral sensors / Nikola Santrač in Geodetski vestnik, vol 67 n° 4 (December 2023)
[article]
Titre : Accuracy analysis of UAV photogrammetry using RGB and multispectral sensors Type de document : Article/Communication Auteurs : Nikola Santrač, Auteur ; Pavel Benka, Auteur ; Mehmed Batilović, Auteur ; et al., Auteur Année de publication : 2023 Article en page(s) : pp 459 - 472 Note générale : bibliographie Langues : Anglais (eng) Slovène (slv) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] image captée par drone
[Termes IGN] image multibande
[Termes IGN] image RVB
[Termes IGN] modèle géométrique de prise de vue
[Termes IGN] point d'appui
[Termes IGN] positionnement cinématique en temps réel
[Termes IGN] qualité des donnéesRésumé : (auteur) In recent years, unmanned aerial vehicles (UAVs) have become increasingly important as a tool for quickly collecting high-resolution (spatial and spectral) imagery of the Earth's surface. The final products are highly dependent on the choice of values for various parameters in flight planning, the type of sensors, and the processing of the data. In this paper ground control points (GCPs) were first measured using the Global Navigation Satellite System (GNSS) Real-Time Kinematic (RTK) method, and then due to the low height accuracy of the GNSS RTK method all points were measured using a detailed leveling method. This study aims to provide a basic assessment of quality, including four main aspects: (1) the difference between an RGB sensor and a five-band multispectral sensor on accuracy and the amount of data, (2) the impact of the number of GCPs on the accuracy of the final products, (3) the impact of different altitudes and cross flight strips, and (4) the accuracy analysis of multi-altitude models. The results suggest that the type of sensor, flight configuration, and GCP setup strongly affect the quality and quantity of the final product data while creating a multi-altitude model does not result in the expected quality of data. With its unique combination of sensors and parameters, the results and recommendations presented in this paper can assist professionals and researchers in their future work. Numéro de notice : A2023-241 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.15292/geodetski-vestnik.2023.04.459-472 Date de publication en ligne : 01/12/2023 En ligne : https://dx.doi.org/10.15292/geodetski-vestnik.2023.04.459-472 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103604
in Geodetski vestnik > vol 67 n° 4 (December 2023) . - pp 459 - 472[article]Assuring the quality of VGI on land use and land cover: experiences and learnings from the LandSense project / Giles M. Foody in Geo-spatial Information Science, vol 26 n° inconnu ([01/08/2023])
[article]
Titre : Assuring the quality of VGI on land use and land cover: experiences and learnings from the LandSense project Type de document : Article/Communication Auteurs : Giles M. Foody, Auteur ; Gavin Long, Auteur ; Michael Schultz, Auteur ; Ana-Maria Olteanu-Raimond , Auteur Année de publication : 2023 Projets : Landsense / Raimond, Ana-Maria Article en page(s) : n° 2100285 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] assurance qualité
[Termes IGN] données localisées des bénévoles
[Termes IGN] occupation du sol
[Termes IGN] qualité des données
[Termes IGN] utilisation du solRésumé : (auteur) The potential of citizens as a source of geographical information has been recognized for many years. Such activity has grown recently due to the proliferation of inexpensive location aware devices and an ability to share data over the internet. Recently, a series of major projects, often cast as citizen observatories, have helped explore and develop this potential for a wide range of applications. Here, some of the experiences and learnings gained from part of one such project, which aimed to further the role of citizen science within Earth observation and help address environmental challenges, LandSense, are shared. The key focus is on quality assurance of citizen generated data on land use and land cover especially to support analyses of remotely sensed data and products. Particular focus is directed to quality assurance checks on photographic image quality, privacy, polygon overlap, positional accuracy and offset, contributor agreement, and categorical accuracy. The discussion aims to provide good practice advice to aid future studies and help fulfil the full potential of citizens as a source of volunteered geographical information (VGI). Numéro de notice : A2023-081 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10095020.2022.2100285 Date de publication en ligne : 21/07/2022 En ligne : https://doi.org/10.1080/10095020.2022.2100285 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101337
in Geo-spatial Information Science > vol 26 n° inconnu [01/08/2023] . - n° 2100285[article]Quality assessment of volunteered geographic information for outdoor activities: an analysis of OpenStreetMap data for names of peaks in Japan / Jun Yamashita in Geo-spatial Information Science, vol 26 n° inconnu ([01/08/2023])
[article]
Titre : Quality assessment of volunteered geographic information for outdoor activities: an analysis of OpenStreetMap data for names of peaks in Japan Type de document : Article/Communication Auteurs : Jun Yamashita, Auteur ; Toshikazu Seto, Auteur ; Nobusuke Iwasaki, Auteur ; Yuichiro Nishimura, Auteur Année de publication : 2023 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] données localisées des bénévoles
[Termes IGN] Japon
[Termes IGN] montagne
[Termes IGN] OpenStreetMap
[Termes IGN] oronymie
[Termes IGN] qualité des donnéesRésumé : (auteur) Geographical studies of outdoor activities have increased in recent years with the rise in popularity of these activities worldwide, including in Japan. Volunteered geographic information (VGI) is a key tool for organizing outdoor activities as it offers a means to determine the locational information and names of places. To evaluate the quality of VGI, geospatial data generated by land survey agencies and other VGI are often utilized as reference data. However, since these reference data may not be available, other methods are necessary to assure the quality of VGI. In this study, we examined five trust indicators based on the inherent characteristics of VGI through an empirical case study. We used mountain names extracted from OpenStreetMap in Japan as data because there were almost no other VGI in the vicinity. As a result, we isolated three trust indicators, namely versions, users, and tag corrections, to examine the thematic accuracy of VGI because these were the only statistically significant indicators. However, we found that the prediction rate of thematic accuracy was very low. To improve thematic accuracy, this study recommends using the most accurate versions, applying correctly given tags, and considering the motivations and characteristics of the VGI contributors. Numéro de notice : A2022-611 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10095020.2022.2085188 Date de publication en ligne : 01/07/2022 En ligne : https://doi.org/10.1080/10095020.2022.2085188 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101365
in Geo-spatial Information Science > vol 26 n° inconnu [01/08/2023][article]Ensure forest-data integrity for climate change studies / Risto Päivinen in Nature climat change, vol 13 n° inconnu ([01/05/2023])
[article]
Titre : Ensure forest-data integrity for climate change studies Type de document : Article/Communication Auteurs : Risto Päivinen, Auteur ; Rasmus Astrup, Auteur ; Richard A. Birdsey, Auteur ; Johannes Breidenbach, Auteur ; Jonas Fridman, Auteur ; Annika S. Kangas, Auteur ; Pekka E. Kauppi, Auteur ; Mickael Kohl, Auteur ; Kari T. Korhonen, Auteur ; Vivian Kvist Johannsen, Auteur ; François Morneau , Auteur ; Thomas Riedel, Auteur ; Klemens Schadauer, Auteur ; Iddo K. Wernick, Auteur Année de publication : 2023 Article en page(s) : pp 495 - 496 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] changement climatique
[Termes IGN] intégrité des données
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) Forest inventory observations are critical for monitoring the contribution of terrestrial ecosystems to the global carbon cycle and a changing climate1. Like all scientific data, ensuring open access to forest data generally serves to secure the integrity of the data and facilitate climt mitigation efforts. ... Numéro de notice : A2023-175 Affiliation des auteurs : IGN+Ext (2020- ) Thématique : BIODIVERSITE/FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1038/s41558-023-01683-8 Date de publication en ligne : 22/05/2023 En ligne : https://doi.org/10.1038/s41558-023-01683-8 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103294
in Nature climat change > vol 13 n° inconnu [01/05/2023] . - pp 495 - 496[article]La cartographie du relief : Une gageure technique et des solutions / Laurent Polidori in Géomètre, n° 2212 (avril 2023)
[article]
Titre : La cartographie du relief : Une gageure technique et des solutions Type de document : Article/Communication Auteurs : Laurent Polidori, Auteur Année de publication : 2023 Article en page(s) : pp 38 - 48 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] canopée
[Termes IGN] crue
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] inondation
[Termes IGN] modèle numérique de terrain
[Termes IGN] nuage
[Termes IGN] photogrammétrie aérienne
[Termes IGN] photogrammétrie terrestre
[Termes IGN] précision des données
[Termes IGN] qualité du modèle
[Termes IGN] représentation du relief
[Termes IGN] semis de points
[Termes IGN] télémétrie laserRésumé : (Editeur) La reconstruction d’éléments tridimensionnels a fait l’objet de nombreux développements, avec des applications dans des domaines aussi variés que l’architecture, la géologie et l’anatomie, mais c’est au relief terrestre que l’on s’inté?resse dans ce dossier. Ainsi, une grande variété de techniques de mesure (photogrammétrie, radar, lidar), mises en œuvre depuis des satellites, des avions, des drones ou à même le sol, adaptées aux différentes échelles et aux différents paysages, permettent de cartographier le relief terrestre sous la forme de nuages de points. Ceux-ci servent à construire des modèles numériques de terrain (sol) ou de surface (canopée forestière, toits), utilisés dans de nombreux domaines, pourvus qu’ils respectent des exigences de qualité comme la précision des altitudes ou la cohérence de l’hydrographie. L’évolution des instruments d’observation et des algorithmes de traitement étend les possibilités de production de modèles de relief et leur usage pour la gestion des territoires. Dans ce contexte, la formation technique constitue le nouvel enjeu pour améliorer le dialogue entre les producteurs et les consommateurs. Numéro de notice : A2023-174 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Article nature-HAL : ArtSansCL DOI : sans Date de publication en ligne : 01/04/2023 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102977
in Géomètre > n° 2212 (avril 2023) . - pp 38 - 48[article]Exemplaires(1)
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Atucha-Zamkova in Forestry, an international journal of forest research, vol 94 n° 5 (December 2021)PermalinkLe Mont-Blanc mesuré au LiDAR héliporté / Mathieu Peyréga in XYZ, n° 169 (décembre 2021)PermalinkRelevés d’obstacles à la navigation aérienne au service de l’information aéronautique / Olivier de Joinville in XYZ, n° 169 (décembre 2021)PermalinkA semantics-based trajectory segmentation simplification method / Minshi Liu in Journal of Geovisualization and Spatial Analysis, vol 5 n° 2 (December 2021)PermalinkUtility-pole detection based on interwoven column generation from terrestrial mobile Laser scanner data / Siamak Talebi Nahr in Photogrammetric record, Vol 36 n° 176 (December 2021)PermalinkPoint-of-interest (POI) data validation methods: An urban case study / Lih Wei Yeow in ISPRS International journal of geo-information, vol 10 n° 11 (November 2021)PermalinkConsistency assessment for open geodata integration: an ontology-based approach / Linfang Ding in Geoinformatica, vol 25 n° 4 (October 2021)PermalinkDisaster Image Classification by Fusing Multimodal Social Media Data / Zhiqiang Zou in ISPRS International journal of geo-information, vol 10 n° 10 (October 2021)PermalinkImpact of beam diameter and scanning approach on point cloud quality of terrestrial laser scanning in forests / Meinrad Abegg in IEEE Transactions on geoscience and remote sensing, vol 59 n° 10 (October 2021)PermalinkImpact of travel time uncertainties on modeling of spatial accessibility: a comparison of street data sources / Yan Lin in Cartography and Geographic Information Science, vol 48 n° 6 (October 2021)PermalinkLoosening the grid: topology as the basis for a more inclusive GIS / L. 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Yair Grinberger in Transactions in GIS, Vol 25 n° 2 (April 2021)PermalinkHyperspectral image denoising via clustering-based latent variable in variational Bayesian framework / Peyman Azimpour in IEEE Transactions on geoscience and remote sensing, vol 59 n° 4 (April 2021)PermalinkSuivi de la dynamique de l’occupation du sol en République de Guinée par imagerie satellitaire Spot : transfert technologique pour le développement d’outils performants d’aide à la décision / Gabriel Jaffrain in Revue Française de Photogrammétrie et de Télédétection, n° 223 (mars - décembre 2021)PermalinkThe Realization and evaluation of PPP ambiguity resolution with INS aiding in marine survey / Zhenqiang Du in Marine geodesy, vol 44 n° 2 (March 2021)PermalinkCrowdsourcing without data bias: Building a quality assurance system for air pollution symptom mapping / Marta Samulowska in ISPRS International journal of geo-information, vol 10 n° 2 (February 2021)PermalinkUn état de l’art sur l’imprécision spatiale et sa modélisation / Mattia Bunel in Cybergeo, European journal of geography, n° 2021 ([01/02/2021])PermalinkFully convolutional neural network for impervious surface segmentation in mixed urban environment / Joseph McGlinchy in Photogrammetric Engineering & Remote Sensing, PERS, vol 87 n° 2 (February 2021)PermalinkA GIS- and AHP-based approach to map fire risk: a case study of Kuan Kreng peat swamp forest, Thailand / Narissara Nuthammachot in Geocarto international, vol 36 n° 2 ([01/02/2021])PermalinkA points of interest matching method using a multivariate weighting function with gradient descent optimization / Zhou Yang in Transactions in GIS, Vol 25 n° 1 (February 2021)PermalinkStand-scale climate change impacts on forests over large areas: transient responses and projection uncertainties / NIca Huber in Ecological Applications, vol 31 ([01/02/2021])PermalinkStochastic model reliability in GNSS baseline solution / Aviram Borko in Journal of geodesy, vol 95 n° 2 (February 2021)PermalinkAssessing the accuracy of remotely sensed fire datasets across the southwestern Mediterranean Basin / Luis Felipe Galizia in Natural Hazards and Earth System Sciences, vol 21 n° 1 (January 2021)PermalinkEvaluation of a neural network with uncertainty for detection of ice and water in SAR imagery / Nazanin Asadi in IEEE Transactions on geoscience and remote sensing, vol 59 n° 1 (January 2021)PermalinkInitialization methods of convolutional neural networks for detection of image manipulations / Ivan Castillo Camacho (2021)Permalink