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Enregistrement W6999403691

A comparative analysis of conventional and emerging methods for characterizing coastal morphology and change

2016· article· en· W6999403691 sur OpenAlexfundaboutno aff

Notice bibliographique

RevueIslandScholar (University of Prince Edward Island) · 2016
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueScience and Climate Studies
Établissements canadiensnon disponible
Organismes subventionnairesMemorial University of NewfoundlandUniversity of Prince Edward IslandSimon Fraser University
Mots-clésFilter (signal processing)Table (database)Work (physics)Event (particle physics)PopulationHazard
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Small islands and coastal areas are threatened by the negative impacts of climate change. Sea-level rise, increased storm event and frequency, and other coastal hazards are expected to impact infrastructure, settlements, and facilities that support the livelihood of coastal communities. In addition, small islands and coastal communities are often considered to lack the capacity to properly anticipate and adapt to a quickly changing climate. Proper coastal adaptation requires a number of key components including data collection, monitoring and evaluation. This thesis sought to evaluate two methodologies of data collection and monitoring on Prince Edward Island, Canada: one low cost method using terrestrial peg line measurement; and two, the use of low altitude small Unmanned Aerial Vehicles (UAvs) to create high resolution orthomosaics and digital surface models for coastal assessment. Considerations of cost, agility and accuracy of the research methods are made throughout the thesis with an intended application to a long-term monitoring program that can be adopted by other small island and coastal communities around the world interested in improving their resiliency and ability to adapt to climate change.\nAn historical terrestrial measurement method was employed on Prince Edward Island by the Department of Community and Cultural Affairs Marine Environment Section in 1984 but abandoned several years later in the early 1990s. This thesis investigated this method through re-measurement and study of old log books and revealed several inadequacies. Improvements to the historical monitoring method are made through the resurrection and establishment of 74 erosion measuring locations across Prince Edward Island during the 2014 and 2015 field seasons. Measurement of these 74 cliff and bluff coastal environments resulted in an average annual loss of 0.46 m with a single largest loss of 2.69 m. This method is limited by the type of data collection but provides a good starting point for coastal communities with limited knowledge and expertise in the field to begin understanding and quantifying coastal change. Recent developments in Unmanned Aerial Vehicle technology have led to a wide-spread interest in using the technology across many industries and fields of study. A major advantage of using UAVs is their ability to efficiently collect high resolution orthomosaics and elevation models at a fine temporal scale for coastal assessments. This thesis utilized two UAV systems at a study site in North Lake, Prince Edward Island, Canada - a fixed wing system by PrecisionHawk, and a quadcopter by 3DRobotics - and conducted a comparative analysis to determine the best platform for the application to coastal data collection and monitoring. Results found consistently improved performance of the quadcopter versus the fixed wing, including accuracy, a lower upfront cost, and the ability to perform to expectation in high sustained winds. Some results include an image marker to ground control point difference of 0.10 m for the fixed wing and 0.03 m for the quadcopter. The quadcopter showed better results when comparing elevations to a survey grade GPS survey of the study site, and coastal delineations of the orthomosaics showed a slight improvement using the quadcopter. This comparative analysis showed the real possibility of accurately representing a coastal cliff or bluff environment using UAV technology that can be monitored to detect annual change. The ability of UAVs to cost-effectively and accurately produce data rich products leads to the conclusion that the technology provides a realistic alternative to traditional monitoring methods and has great implications for the adoption to monitor coastal environments of small islands and coastal communities.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,017
score de la tête « metaresearch » (Gemma)0,028
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,017
Score d'incertitude au seuil0,091

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0170,028
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0060,006
Études des sciences et des technologies0,0010,001
Communication savante0,0040,003
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,034
Tête enseignante GPT0,305
Écart entre enseignants0,271 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2016
Routes d'admission2
Résumé présentoui

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