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Characterizing vegetation complexity with unmanned aerial systems (UAS) – A framework and synthesis / Jana Müllerová in Ecological indicators, 131 (2021) 

Public Citation [article]  inEcological indicators > 131 (2021) . - 108156 Titre : Characterizing vegetation complexity with unmanned aerial systems (UAS) – A framework and synthesis Type de document : Imprimé Auteurs : Jana Müllerová ; Xurxo Gago ; Martynas Bučas ; Jaume Company ; Joan Estrany ; Josep Fortesa ; Salvatore Manfreda ; Adrien Michez ; Martin Mokroš ; Edvinas Tiškus ; Maria A. Tsiafouli ; Rafi Kent Année de publication : 2021 Article en page(s) : 108156 Catégories : [CBNPMP-Thématique] Télédétection Résumé : Ecosystem complexity is among the important drivers of biodiversity and ecosystem functioning, and unmanned aerial systems (UASs) are becoming an important tool for characterizing vegetation patterns and processes. The variety of UASs applications is immense, and so are the procedures to process UASs data described in the literature. Optimizing the workflow is still a matter of discussion. Here, we present a comprehensive synthesis aiming to identify common rules that shape workflows applied in UAS-based studies facing complexity in ecosystems. Analysing the studies, we found similarities irrespective of the ecosystem, according to the character of the property addressed, such as species composition (biodiversity), ecosystem structure (stand volume/complexity), plant status (phenology and stress levels), and dynamics (disturbances and regeneration). We propose a general framework allowing to design UAS-based vegetation surveys according to its purpose and the component of ecosystem complexity addressed. We support the framework by detailed schemes as well as examples of best practices of UAS studies covering each of the vegetation properties (i.e. composition, structure, status and dynamics) and related applications. For an efficient UAS survey, the following points are crucial: knowledge of the phenomenon, choice of platform, sensor, resolution (temporal, spatial and spectral), model and classification algorithm according to the phenomenon, as well as careful interpretation of the results. The simpler the procedure, the more robust, repeatable, applicable and cost effective it is. Therefore, the proper design can minimize the efforts while maximizing the quality of the results. Lien pérenne : DOI : 10.1016/j.ecolind.2021.108156 Permalink : https://biblio.cbnpmp.fr/index.php?lvl=notice_display&id=151577 Müllerová, Jana, Gago, Xurxo, Bučas, Martynas, Company, Jaume, Estrany, Joan, Fortesa, Josep, Manfreda, Salvatore, Michez, Adrien, Mokroš, Martin, Tiškus, Edvinas, Tsiafouli, Maria A., Kent, Rafi 2021 Characterizing vegetation complexity with unmanned aerial systems (UAS) – A framework and synthesis. Ecological indicators, 131: 108156.

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On the use of Unmanned Aerial Systems for environmental monitoring / Salvatore Manfreda in Remote sensing, 10 (2018) 

Public Citation [article]  inRemote sensing > 10 (2018) . - 641 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-Thématique] Télédétection [CBNPMP-Thématique] Monitoring, suivi Résumé : 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 Manfreda, Salvatore, McCabe, Matthew F., Miller, Pauline E., Lucas, Richard, Madrigal, Victor Pajuelo, Mallinis, Giorgos, Ben-Dor, Eyal, Helman, David, Estes, Lyndon, Ciraolo, Giuseppe, Müllerová, Jana, Tauro, Flavia, Lima, M. Isabel de, Lima, João Luis Mendes Pedroso de (1959-), Maltese, Antonino, Frances, Felix, Caylor, Kelly, Kohv, Marko, Perks, Matthew, Ruiz-Pérez, Guiomar, Su, Zhongbo, Vico, Giulia, Toth, Brigitta 2018 On the use of Unmanned Aerial Systems for environmental monitoring. Remote sensing, 10: 641.

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