Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Shin'ichiro Kako"'
Publikováno v:
Frontiers in Marine Science, Vol 10 (2023)
Interannual eddy variability in the eastern Ryukyu Island chain (RIC) was analyzed based on eddy trajectories and assimilation data. Analysis of the eddy trajectory data suggested a predominance of eddies originating near the study area. The occurren
Externí odkaz:
https://doaj.org/article/7592c064043649f2be215f8f75fe4ba0
Autor:
Mitsuko Hidaka, Koshiro Murakami, Kenta Koshidawa, Shintaro Kawahara, Daisuke Sugiyama, Shin'ichiro Kako, Daisuke Matsuoka
Publikováno v:
Data in Brief, Vol 48, Iss , Pp 109176- (2023)
Marine plastic pollution is a pressing global issue nowadays. To address this problem, automated image analysis techniques that can identify plastic litter are necessary for scientific research and coastal management purposes. The Beach Plastic Litte
Externí odkaz:
https://doaj.org/article/5f30b03ec3534b6faafa1cdc80d2604c
Publikováno v:
Data in Brief, Vol 42, Iss , Pp 108072- (2022)
This dataset consists of 3500 images of beach litter and 3500 corresponding pixel-wise labelled images. Although performing such pixel-by-pixel semantic masking is expensive, it allows us to build machine-learning models that can perform more sophist
Externí odkaz:
https://doaj.org/article/60177f2307a34fbd8d1805acd9a7bd01
Autor:
Junya Hirai, Masaki Miya, Tetsuichi Fujiki, Akira Kuwano-Yoshida, Shigeyoshi Otosaka, Hideki Kaeriyama, Shin'ichiro Kako, Tomoya Kataoka, Daisuke Matsuoka, Mitsuko Hidaka, Daisuke Sugiyama, and Fujio Kojima
Publikováno v:
Oceanography in Japan. 30:227-253
Publikováno v:
Journal of Oceanography. 76:419-437
Insufficient in situ observations in high winds make it difficult to verify climatological data sets and the results of tropical cyclone (TC) simulations. Reliable data sets are necessary for developing numerical models that predict TCs more accurate
Publikováno v:
Marine Pollution Bulletin. 175:113371
Mitigating and preventing beach litter from entering the ocean is urgently required. Monitoring beach litter solely through human effort is cumbersome, with respect to both time and cost. To address this problem, an artificial intelligence technique
Publikováno v:
Marine pollution bulletin. 155
Plastic marine debris (PMD) is of global concern. To help address this problem, a novel approach for estimating PMD volumes using a combination of unmanned aerial vehicle (UAV) surveys and image processing based on deep learning is proposed. A three-
Publikováno v:
Journal of Oceanography. 75:171-194
Accurate observational estimation of the ocean surface heat, momentum, and freshwater fluxes is crucial for studies of the global climate system. Estimating surface flux using satellite remote sensing techniques is one possible answer to this challen
Publikováno v:
Journal of Atmospheric & Oceanic Technology. Mar2017, Vol. 34 Issue 3, p631-642. 12p. 1 Diagram, 1 Chart, 7 Graphs, 3 Maps.
Publikováno v:
Journal of Atmospheric and Oceanic Technology. 34:631-642
This study used an optimum interpolation method (OIM) to construct a sea surface wind speed (SSW) dataset with hourly resolution based on merged wind speed analysis products from four satellites [AMSR-2, ASCAT, OceanSat Scatterometer (OSCAT), and Win