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CBNPMP-Thèmes > Ecologie et géographie botanique > Télédétection, photointerprétation > Télédétection
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Object-based analysis of UAS imagery to map emergent and submerged invasive aquatic vegetation: a case study / Dominique Chabot in Journal of unmanned vehicle systems, 5 (2017)
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Titre : Object-based analysis of UAS imagery to map emergent and submerged invasive aquatic vegetation: a case study Type de document : Imprimé Auteurs : Dominique Chabot ; Christopher Dillon ; Oumer S. Ahmed ; Adam Shemrock Année de publication : 2017 Article en page(s) : 27-33 Catégories : [CBNPMP-Thèmes] Télédétection Résumé : Small unmanned aircraft systems (UAS) combined with automated image analysis may provide an efficient alternative or complement to labour-intensive boat-based monitoring of invasive aquatic vegetation. A small mapping drone was assessed for collecting high-resolution (≤5 cm/pixel) true-colour and near-infrared imagery revealing the distribution of invasive water soldier (Stratiotes aloides) in the Trent–Severn Waterway, Ontario (Canada). We further evaluated the capacity of an object-based image analysis approach based on the Random Forests classification algorithm to map features in the imagery, chiefly emergent and submerged water soldier colonies. The imagery contained flaws and inconsistencies resulting from data collection in suboptimal weather conditions that likely negatively impacted classification performance. Nevertheless, our best-performing classification had a producer’s and user’s accuracy for water soldier of 81% and 74%, respectively, an overall accuracy of 78%, and a kappa value of 61%, indicating “substantial” accuracy. This trial provides an instructive case study on results achieved in a “real-world” application of a UAS for environmental monitoring, notably characterized by time constraints for data collection and analysis. Beyond avoiding data collection in unfavourable weather conditions, adaptations of the image segmentation process and use of a true discrete-band multispectral camera may help to improve classification accuracy, particularly of submerged vegetation. Lien pérenne : DOI : 10.1139/juvs-2016-0009 Permalink : https://biblio.cbnpmp.fr/index.php?lvl=notice_display&id=151518
in Journal of unmanned vehicle systems > 5 (2017) . - 27-33Chabot, D., Dillon, C., Ahmed, OS., Shemrock, A. 2017. Object-based analysis of UAS imagery to map emergent and submerged invasive aquatic vegetation: a case study. Journal of unmanned vehicle systems, 5: 27-33.Documents numériques
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Article (2017)URL On the use of Unmanned Aerial Systems for environmental monitoring / Salvatore Manfreda in Remote sensing, 10 (2018)
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Titre : On the use of Unmanned Aerial Systems for environmental monitoring Type de document : Imprimé Auteurs : Salvatore Manfreda ; Matthew F. McCabe ; Pauline E. Miller ; Richard Lucas ; Victor Pajuelo Madrigal ; Giorgos Mallinis ; Eyal Ben-Dor ; David Helman ; Lyndon Estes ; Giuseppe Ciraolo ; Jana Müllerová ; Flavia Tauro ; M. Isabel de Lima ; João Luis Mendes Pedroso de Lima (1959-) ; Antonino Maltese ; Felix Frances ; Kelly Caylor ; Marko Kohv ; Matthew Perks ; Guiomar Ruiz-Pérez ; Zhongbo Su ; Giulia Vico ; Brigitta Toth Année de publication : 2018 Article en page(s) : 641 Catégories : [CBNPMP-Thèmes] Télédétection
[CBNPMP-Thèmes] Monitoring, suiviRésumé : Environmental monitoring plays a central role in diagnosing climate and management impacts on natural and agricultural systems; enhancing the understanding of hydrological processes; optimizing the allocation and distribution of water resources; and assessing, forecasting, and even preventing natural disasters. Nowadays, most monitoring and data collection systems are based upon a combination of ground-based measurements, manned airborne sensors, and satellite observations. These data are utilized in describing both small- and large-scale processes, but have spatiotemporal constraints inherent to each respective collection system. Bridging the unique spatial and temporal divides that limit current monitoring platforms is key to improving our understanding of environmental systems. In this context, Unmanned Aerial Systems (UAS) have considerable potential to radically improve environmental monitoring. UAS-mounted sensors offer an extraordinary opportunity to bridge the existing gap between field observations and traditional air- and space-borne remote sensing, by providing high spatial detail over relatively large areas in a cost-effective way and an entirely new capacity for enhanced temporal retrieval. As well as showcasing recent advances in the field, there is also a need to identify and understand the potential limitations of UAS technology. For these platforms to reach their monitoring potential, a wide spectrum of unresolved issues and application-specific challenges require focused community attention. Indeed, to leverage the full potential of UAS-based approaches, sensing technologies, measurement protocols, postprocessing techniques, retrieval algorithms, and evaluation techniques need to be harmonized. The aim of this paper is to provide an overview of the existing research and applications of UAS in natural and agricultural ecosystem monitoring in order to identify future directions, applications, developments, and challenges. Lien pérenne : DOI : 10.3390/rs10040641 Permalink : https://biblio.cbnpmp.fr/index.php?lvl=notice_display&id=152106
in Remote sensing > 10 (2018) . - 641Manfreda, S., McCabe, MF., Miller, PE., Lucas, R., Madrigal, V.P., Mallinis, G., Ben-Dor, E., Helman, D., Estes, L., Ciraolo, G., Müllerová, J., Tauro, F., Lima, M.I.d., Lima, J.L.M.P.d., Maltese, A., Frances, F., Caylor, K., Kohv, M., Perks, M., Ruiz-Pérez, G., Su, Z., Vico, G., Toth, B. 2018. On the use of Unmanned Aerial Systems for environmental monitoring. Remote sensing, 10: 641.Documents numériques
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Article (2018)URL Le principe de la télédétection / Philippe Balayer in Ginèbre, 1 (01/1986)
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Titre : Le principe de la télédétection Type de document : Imprimé Auteurs : Philippe Balayer Année de publication : 1986 Article en page(s) : 17-20 Langues : Français (fre) Catégories : [CBNPMP-Thèmes] Télédétection Permalink : https://biblio.cbnpmp.fr/index.php?lvl=notice_display&id=152138
in Ginèbre > 1 (01/1986) . - 17-20Balayer, P. 1986. Le principe de la télédétection. Ginèbre, 1: 17-20.Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité R4093 P-281 Revue Centre de documentation Revues Consultable Proxidétection des adventices par imagerie aérienne : vers un service de gestion par drone / Marine Louargant (2016)
Titre : Proxidétection des adventices par imagerie aérienne : vers un service de gestion par drone Type de document : Électronique Auteurs : Marine Louargant Editeur : Dijon : Université de Bourgogne Année de publication : 2016 Importance : 239 p. Langues : Français (fre) Catégories : [CBNPMP-Thèmes] Télédétection Résumé : Le contexte agricole actuel vise à réduire l’utilisation des produits phytosanitaires sur les parcelles. Dans ce cadre, la gestion des adventices consommant de grandes quantités d’herbicides est devenue une problématique majeure. Afin de mettre en place un outil de gestion localisée des adventices par drone, cette thèse étudie l’adaptation du système d’acquisition (drone + dispositif multispectral) actuellement proposé par AIRINOV à la détection des adventices sur des cultures sarclées. La chaîne d’acquisition a été modélisée afin d’évaluer l’impact de différents paramètres du modèle (filtres optiques et résolution spatiale) sur la qualité de la détection des adventices. Des orthophotographies et images ortho-rectifiées ont été acquises à l’aide d’un capteur multispectral (4 et 8 filtres) à des résolutions spatiales de 6 mm et 6 cm. Plusieurs méthodes de localisation des adventices adaptées à l’étude de ces images ont été développées. Elles reposent sur 1) l’analyse de la distribution spatiale de la végétation (détection de rang par la transformée de Hough et analyse de forme), 2) la classification spectrale des pixels (méthodes supervisées : LDA, QDA, distance de Mahalanobis, SVM). Enfin, une classification spectrale basée sur un apprentissage issu des informations spatiales été proposée, améliorant ainsi la détection des adventices. Des cartes d’infestation des parcelles et de préconisation en pulvérisation localisée ont alors été créées. Lien pérenne : HAL : tel-01494978 Permalink : https://biblio.cbnpmp.fr/index.php?lvl=notice_display&id=151685 Louargant, M. 2016. Proxidétection des adventices par imagerie aérienne : vers un service de gestion par drone. Université de Bourgogne, Dijon. 239 pp.Documents numériques
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Thèse (2016)URL Recent applications of unmanned aerial imagery in natural resource management / Mozdeh Shahbazi in GIScience & remote sensing, 51 (4) (2014)
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Titre : Recent applications of unmanned aerial imagery in natural resource management Type de document : Imprimé Auteurs : Mozdeh Shahbazi ; Jérôme Théau ; Patrick Ménard Année de publication : 2014 Article en page(s) : 339-365 Catégories : [CBNPMP-Thèmes] Télédétection Résumé : Unmanned aerial vehicles have become popular platforms for remote-sensing applications, particularly when spaceborne technology, manned airborne techniques, and in situ methods are not as efficient for various reasons. These reasons include the temporal and spatial data resolutions, accessibility over time and space, cost efficiency, and operational safety. Given that most commercial developers tend to focus on the hardware development of unmanned aerial systems, less attention is paid to the development and evaluation of their data processing techniques. Therefore, critical reviews of previous studies are required to describe the current state of research using data from unmanned remote sensing platforms. Accordingly, this article presents the results of a comprehensive review of applications of unmanned aerial imagery for the management of agricultural and natural resources. This review attempts to demonstrate that developing robust methodologies and reliable assessments of results are significant issues for successful applications of unmanned aerial imagery. Lien pérenne : DOI : 10.1080/15481603.2014.926650 Permalink : https://biblio.cbnpmp.fr/index.php?lvl=notice_display&id=151557
in GIScience & remote sensing > 51 (4) (2014) . - 339-365Shahbazi, M., Théau, J., Ménard, P. 2014. Recent applications of unmanned aerial imagery in natural resource management. GIScience & remote sensing, 51(4): 339-365.Documents numériques
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Article (2014)URL PermalinkRemote sensing of the environment with small unmanned aircraft systems (UASs), part 2: scientific and commercial applications / Ken Whitehead in Journal of unmanned vehicle systems, 2 (2014)
PermalinkSmall-scale Unmanned Aerial Vehicles in environmental remote sensing: challenges and opportunities / Perry J. Hardin in GIScience & remote sensing, 48 (1) (2011)
PermalinkPermalinkSmall unmanned aerial vehicles (micro-UAVs, drones) in plant ecology / Mitchell B. Cruzan in Applications in plant sciences, 4 (2016)
PermalinkSmall unmanned aircraft: precise and convenient new tools for surveying wetlands / Dominique Chabot in Journal of unmanned vehicle systems, 1 (2013)
PermalinkTélédétection et floristique, aides à la typologie forestière en forêt de Bouconne (Haute-Garonne) / P. Gualy Gouaux (1981)
PermalinkLa télédétection satellitale au service de la gestion des pâturages d'altitude / Jean Bernard-Brunet (2000)
PermalinkThe potential of small-Unmanned Aircraft Systems for the rapid detection of threatened unimproved grassland communities using an enhanced normalized difference vegetation index / Conor J. Strong in PloS ONE, 12 (10) (2017)
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