The Value of Collecting New, Random-Track Bathymetry Data
Notice bibliographique
Résumé
Only a small portion of the deep ocean has ever been acoustically measured, and, despite serious efforts to initiate one, there is no program to systematically map the unmeasured areas. Acoustic measuring instruments must operate in contact with sea water, which usually means they are carried by ships. Research ships are not abundant, and access to them is competitive, meaning it is unlikely that the 200 plus ship-years required to multibeam the ocean beyond 500m depths will materialize in the foreseeable future. Research ships are only a small percentage of those afloat; there are approx 90,000 container ships at sea, travelling about 214,000 miles each per year. In shallower waters, commercial fishing fleets traverse an inestimable number of track miles. Can these vessels be used to help fill the gaps in acoustic bathymetry? One surprising development in recent years is the OLEX company's success in getting fishermen to overcome their traditional reticence to tell anyone where they have been, and share echosounder measurements in fishing areas. The shipping industry, thorough its World Ocean Council, is showing willingness to collect data, provided it does not interfere with the vessel's normal operations. Both could be recruited into an ocean users group to map the sea floor, providing: a) An organization existed to assemble the collected measurement, store them in a proper data base and make them available to be used by the scientific community b) The technology existed to enable commercial ships to collect useful depth data without interfering with the crew or cargo. This situation is elaborated in this talk, and the attendees will be asked to participate in a thought - experiment to suggest ways in which this could be done. Presenter Bio Dave Monahan is Program Director for the Nippon Foundation General Bathymetric Chart of the Oceans (GEBCO) training program in oceanic bathymetry and Affiliate Professor. Prior to joining CCOM, he served for 33 years in the Canadian Hydrographic Service, working his way down from Research Scientist to Director. During that time, he established the bathymetric mapping program and mapped most Canadian waters, built the Fifth Edition of GEBCO, led the development of LIDAR, developed and led the CHS Electronic Chart production program, and was Canadian representative on a number of international committees and boards. He has mentored a few people who became Directors, steered CHS through the conversion to NAD 83 and the introduction of GPS, with the Jet Propulsion Laboratory he performed the first world-scale comparison of satellite and acoustic bathymetric data. He designed an algorithm for contouring bathymetry data from random, widely-spaced tracks, made the over ice spot sounding survey pattern more efficient, conducted field studies and authored papers on sea floor geomorphology all around Canada, in adjacent oceanic basins as well as off Senegal/Gambia, Peru and Guyana. Dave also wrote an International Hydrographic Bureau standard, published over ninety maps and a hundred papers and got Canada to ratify UNCLOS. He also did a lot of management things large and small but has no real memory of them. Before joining the Canadian government he was research assistant to the late Mike Keen at Dalhousie University during the exciting period when the theory of Plate Tectonics was the subject of hearty debate. With degrees in Science, in Arts and in Engineering, he is almost diverse enough to understand how little humankind knows about the ocean. He has been Adjunct Professor in the Department of Geography at Carleton University and continues to hold a similar position in the Department of Geodesy and Geomatics Engineering at the University of New Brunswick.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,028 | 0,096 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,006 | 0,008 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,005 | 0,011 |
| Science ouverte | 0,006 | 0,004 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,008 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».