Готові списки джерел за темами / Light-level geolocation

Добірка наукової літератури з теми "Light-level geolocation"

Автор: Grafiati
Опубліковано: 10 грудня 2022
Оновлено: 28 січня 2023

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Статті в журналах з теми "Light-level geolocation"

1

Carmody, Kathryn G., Arthur J. Mariano, and David William Kerstetter. "A Principal Component Analysis of Vertical Temperature Profiles for Tracking Movements of Large Pelagic Fishes." Aquatic Science and Technology 5, no. 1 (January 24, 2017): 33. http://dx.doi.org/10.5296/ast.v5i1.10649.

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Pop-up satellite archival tag (PSAT) technology that records depth, temperature, and light-level data has expanded the understanding of free-swimming behavior for numerous pelagic animals. Astronomical algorithms using these light-level data have allowed geolocation estimates of daily longitude and latitude. However, many pelagic animals have a crepuscular behavior pattern in which individuals are at depths below the photic layer during the day, thus precluding the use of traditional light-based movement algorithms for geolocation in such species as swordfish. A principal component analysis (PCA) of temperature profiles is described herein that utilizes depth and temperature data rather than light to estimate the horizontal movement between the initial location of tag release and transmission. PSAT data from swordfish (n=4), blue marlin (n=14), white marlin (n=2), and black marlin (n=1) were used to generate daily coordinate estimates. The marlin data provided sufficient light information to derive geolocation estimates using two light-based state space models, while the hydrographic PCA model was used to derive comparison estimates. Comparisons of the two model types show an average root mean square difference of 175.4 km demonstrating that the PCA model can be used to extract the movement of tagged swordfish and other pelagic species demonstrating crepuscular behavior. Integration of this PCA-based geolocation methods with both the best available estimates of the ocean temperature at the time of tag deployment and the existing light-based geolocation models would provide additional information on fine-scale movement of tagged fish.
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2

Lisovski, Simeon, Heiko Schmaljohann, Eli S. Bridge, Silke Bauer, Andrew Farnsworth, Sidney A. Gauthreaux, Steffen Hahn, et al. "Inherent limits of light-level geolocation may lead to over-interpretation." Current Biology 28, no. 3 (February 2018): R99—R100. http://dx.doi.org/10.1016/j.cub.2017.11.072.

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3

Lanctot, Richard B., Stephen Yezerinac, Joaquin Aldabe, Juliana Bosi de Almeida, Gabriel Castresana, Stephen Brown, Pablo Rocca, Sarah T. Saalfeld та James W. Fox. "Light-level geolocation reveals migration patterns of the Buff-breasted Sandpiper". Wader Study 123, № 1 (квітень 2016): 29–43. http://dx.doi.org/10.18194/ws.00032.

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4

Bridge, Eli S., Jeffrey F. Kelly, Andrea Contina, Richard M. Gabrielson, Robert B. MacCurdy, and David W. Winkler. "Advances in tracking small migratory birds: a technical review of light-level geolocation." Journal of Field Ornithology 84, no. 2 (May 27, 2013): 121–37. http://dx.doi.org/10.1111/jofo.12011.

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5

Teo, SLH, A. Boustany, S. Blackwell, A. Walli, KC Weng, and BA Block. "Validation of geolocation estimates based on light level and sea surface temperature from electronic tags." Marine Ecology Progress Series 283 (2004): 81–98. http://dx.doi.org/10.3354/meps283081.

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6

Schaefer, Kurt M., and Daniel W. Fuller. "Comparative Performance of Current-generation Geolocating Archival Tags." Marine Technology Society Journal 40, no. 1 (March 1, 2006): 15–28. http://dx.doi.org/10.4031/002533206787353673.

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Анотація:
The performances of the current-generation Lotek Wireless LTD2310 and the Wildlife Computers Mk9 geolocating archival tags were compared. The depth, temperature, and light level sensors of 15 LTD 2310 and 15 Mk9 archival tags were evaluated through hydrocasts of these, along with a calibrated Sea-Bird SBE39 temperature and depth probe, to nearly 500 m. Three experiments were conducted; each included five archival tags of each type simultaneously deployed in hydrocasts, along with the SBE39 probe. In all three experiments, the average differences between depth sensors on the Mk9 archival tags and the SBE39 were significantly greater than those between the LTD2310 archival tags and the probe depths for the hydrocast stops at about 500 m, 300 m, and 200 m. The standard errors about the average depth values for those hydrocast stops in Experiments 1 and 2, were greater for the LTD2310 tags, but for Experiment 3 the standard errors were greater for the Mk9 tags. The average differences between the LTD2310 and Mk9 archival tag temperatures measured by their stalk sensors and the SBE39 probe temperatures were similar in all three experiments over a temperature range of from about 9° to 27° C. The standard errors about the average temperature values were similar in all three experiments. The temperatures recorded by the Mk9 archival tag body temperature sensors lagged significantly, while those of the LTD2310 sensors were close to the temperatures recorded by the SBE39 probe during descents and ascents. The standard errors about the average tag body temperature values in all three experiments are greater for the Mk9 tags. Following the stabilization of light sensors at maximum depths (about 500 m) and darkness, during the three hydrocast ascents the 15 LTD2310 and 15 Mk9 archival tag light sensors indicated an average sensitivity to light at 440 m and 380 m, respectively. Two separate experiments conducted with archival tags implanted in the peritoneal cavity of tunas provided estimates of the accuracy and precision of geolocation based on ambient light level data. The computed distances between the average estimated geolocations, from three LTD2310 and three Mk9 archival tags recovered from captive yellowfin tuna Thunnus albacares, to the tank location (7°25'N-80°10'W) were 43.7 nm and 32.1 nm, respectively. The computed distances between the average estimated geolocations, from 13 LTD2310 and 15 Mk9 archival tags from bigeye tuna Thunnus obesus, released and recovered in association with a moored buoy, to the actual buoy location (1°59'S-95°11'W) were 118.5 nm (1.975 dd) and 162.8 nm (2.713 dd), respectively.
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7

Seavy, Nathaniel E., Diana L. Humple, Renée L. Cormier, and Thomas Gardali. "Establishing the Breeding Provenance of a Temperate-Wintering North American Passerine, the Golden-Crowned Sparrow, Using Light-Level Geolocation." PLoS ONE 7, no. 4 (April 10, 2012): e34886. http://dx.doi.org/10.1371/journal.pone.0034886.

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8

Cooper, Nathan W., Michael T. Hallworth, and Peter P. Marra. "Light-level geolocation reveals wintering distribution, migration routes, and primary stopover locations of an endangered long-distance migratory songbird." Journal of Avian Biology 48, no. 2 (January 20, 2017): 209–19. http://dx.doi.org/10.1111/jav.01096.

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9

Stokesbury, Michael JW, Steven LH Teo, Andrew Seitz, Ronald K. O'Dor, and Barbara A. Block. "Movement of Atlantic bluefin tuna (Thunnus thynnus) as determined by satellite tagging experiments initiated off New England." Canadian Journal of Fisheries and Aquatic Sciences 61, no. 10 (October 1, 2004): 1976–87. http://dx.doi.org/10.1139/f04-130.

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Pop-up satellite archival tags were attached to 35 Atlantic bluefin tuna (Thunnus thynnus) off the New England coast of the United States of America in 1998, 2000, and 2001. The tags provided information on the horizontal and vertical movements and environmental preferences of bluefin tuna. Fish showed movement patterns that can be categorized by age and season. Mature individuals were linked to the Gulf of Mexico breeding grounds based on light level longitude and sea surface temperature latitude estimates of geolocation and a radiosatellite endpoint position. A track based on geolocation indicated that a single individual moved from the tagging release location to the Gulf of Mexico and back to New England waters. Tag-generated water column profiles of depth versus temperature were consistent with fish movement along the shelf and into the Gulf of Mexico. Adolescent fish moved from the New England offshore feeding locations to winter aggregations in the coastal shelf and slope waters of North and South Carolina. Bluefin tuna showed a preference for ambient temperatures that ranged from 14 to 26 °C in autumn and from 18 to 24 °C in winter.
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10

Suresha, Pradyumna Byappanahalli, Chaitra Hegde, Zifan Jiang, and Gari D. Clifford. "An Edge Computing and Ambient Data Capture System for Clinical and Home Environments." Sensors 22, no. 7 (March 25, 2022): 2511. http://dx.doi.org/10.3390/s22072511.

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The non-contact patient monitoring paradigm moves patient care into their homes and enables long-term patient studies. The challenge, however, is to make the system non-intrusive, privacy-preserving, and low-cost. To this end, we describe an open-source edge computing and ambient data capture system, developed using low-cost and readily available hardware. We describe five applications of our ambient data capture system. Namely: (1) Estimating occupancy and human activity phenotyping; (2) Medical equipment alarm classification; (3) Geolocation of humans in a built environment; (4) Ambient light logging; and (5) Ambient temperature and humidity logging. We obtained an accuracy of 94% for estimating occupancy from video. We stress-tested the alarm note classification in the absence and presence of speech and obtained micro averaged F1 scores of 0.98 and 0.93, respectively. The geolocation tracking provided a room-level accuracy of 98.7%. The root mean square error in the temperature sensor validation task was 0.3°C and for the humidity sensor, it was 1% Relative Humidity. The low-cost edge computing system presented here demonstrated the ability to capture and analyze a wide range of activities in a privacy-preserving manner in clinical and home environments and is able to provide key insights into the healthcare practices and patient behaviors.
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Дисертації з теми "Light-level geolocation"

1

Fischer, Silas E. "Post-fledging and Migration Ecology of Gray Vireos (Vireo vicinior) and Using ArtScience to Explore Gender and Identity." University of Toledo / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=toledo158895774132047.

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Частини книг з теми "Light-level geolocation"

1

Hill, Roger D., and Melinda J. Braun. "Geolocation by Light Level." In Reviews: Methods and Technologies in Fish Biology and Fisheries, 315–30. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-017-1402-0_17.

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Звіти організацій з теми "Light-level geolocation"

1

Gadek, Chauncey, and Charles Hathcock. Light-Level Geolocation of the LANL Population of Western Bluebirds. Office of Scientific and Technical Information (OSTI), January 2022. http://dx.doi.org/10.2172/1840860.

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