Distribution of Fishing Boats at Night in the East Sea Derived from DMSP/OLS Imagery

Kim, Sang-Woo; Kyu-Dae, Cho; Kim, Young-Seup; Yun-Sun, Choi; Yu-Hwan, Ahn; Yongseung, Kim

doi:10.5657/kfas.2005.38.5.323

Cited by 6 publications

(4 citation statements)

References 9 publications

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“…The survey was conducted quarterly in 2019 (February, June, August, and December) at 12 sites, and a total of 44 samples were conducted (Table 1, Figure 1). The East Sea coast has significant development such as artificial structures, fishing boat activities, and power plants, however, the area around Ulleungdo is relatively unaffected by human influence and is a natural environment [52][53][54]. The circulation of ocean current is important for studying the benthic environment and ecology of Ulleungdo.…”

Section: Study Areamentioning

confidence: 99%

Understanding the Spatial and Temporal Distribution and Environmental Characteristics of Polychaete Assemblages in the Coastal Waters of Ulleungdo, East Sea of Korea

Kim

2021

JMSE

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The coastal area of Ulleungdo in the East Sea has experienced large climate and environmental changes. However, research on marine benthic animals in this area has been very limited. In the present study, we investigated the spatial and temporal distribution of benthic polychaetes to determine their seasonal adaptability to environmental changes in the coastal waters of Ulleungdo in 2019. In total, 116 species (34 families) of polychaetes were identified with an average of 25 species per site. The average density was 772.8 individuals m−2, with the highest density in August and the lowest in February. The dominant species were Pseudobranchiomma zebuensis (15.6%), Scolelepis sp. (8.6%), Haplosyllis spongiphila (7.3%), and Lumbrineris nipponica (6.3%). The main factors affecting polychaete community structure were water depth and sediment type (gravel, sand, silt, clay). Based on cluster analysis, the polychaetes tended to group mainly in winter and summer with P. zebuensis and Syllis sp. contributing to the grouping. The dominant species was the suspension feeder, which correlated highly with habitat sediment type and was substantially consistent with the coast of Dokdo. Some species overlapped in the East Sea coast, but the number and diversity of species were higher in Ulleungdo. Our study results confirm the ecological characteristics of benthic polychaetes of Ulleungdo and provide information for future monitoring of the environmental and biological changes in the East Sea.

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Section: Study Areamentioning

confidence: 99%

Understanding the Spatial and Temporal Distribution and Environmental Characteristics of Polychaete Assemblages in the Coastal Waters of Ulleungdo, East Sea of Korea

Kim

2021

JMSE

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“…As a result, many scholars have applied nighttime light data to the study of fishing boats, cargo volumes, ports, etc. For example, Elvidge et al used nighttime lights to detect and trace ships giving off strong light signals [24,26,27]. Shi et al used NPP-VIIRS data to estimate freight volume [28].…”

Section: The Cargo Handling Capacity Data Released By the Statistics mentioning

confidence: 99%

Estimation of Cargo Handling Capacity of Coastal Ports in China Based on Panel Model and DMSP-OLS Nighttime Light Data

Liu

Wei

et al. 2019

Remote Sensing

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The cargo handling capacity of a port is the most basic and important indicator of port size. Based on the Defense Meteorological Satellite Program-Operational Linescan System (DMSP-OLS) nighttime light data and panel model, this study attempts to estimate the cargo handling capacity of 28 coastal ports in China using satellite remote sensing. The study confirmed that there is a very close correlation between DMSP-OLS nighttime light data and the cargo handling capacity of the ports. Based on this correlation, the panel data model was established for remote sensing-based estimation of cargo handling capacity at the port and port group scales. The test results confirm that the nighttime light data can be used to accurately estimate the cargo handling capacity of Chinese ports, especially for the Yangtze River Delta Port Group, Pearl River Delta Port Group, Southeast Coastal Port Group, and Southwest Coastal Port Group that possess huge cargo handling capacities. The high accuracy of the model reveals that the remote sensing analysis method can make up for the lack of statistical data to a certain extent, which helps to scientifically analyze the spatiotemporal dynamic changes of coastal ports, provides a strong basis for decision-making regarding port development, and more importantly provides a convenient estimation method for areas that have long lacked statistical data on cargo handling capacity.

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“…In general, the nighttime fishing vessel data and catch data correlate with each other in the East Sea. As possible explanation for the area where the interannual data of nighttime images and catches are not consistent, has been given by Kim et al (2005) who suggest it is caused by the large number of vessels moving northward along the temperature front during the high catch season from September to December and the fact that sampling from these fishing vessels occurred only once. The DMSP/OLS nighttime images represent images taken daily while the catch data are from monthly data.…”

Section: Methodsmentioning

confidence: 99%

Interannual Variability of Common Squid Fishing Ground in the East Sea derived from Satellite and In-situ Data

Kim¹,

Ahn²,

Lim³

et al. 2013

Journal of Environmental Science International

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In this study, we estimate the interannual spatial and temporal distributions of fishing grounds at night in the East Sea based on satellite and in-situ data. We observe that the 15℃ thermal front moves in the north-south direction according to the movement of the warm water (above 18℃) in the Tsushima Warm Current (TWC) area, forcing the cold water area (below 10℃) to either expand or shrink. The interannual variations of sea surface temperature (SST) in winter represented by the indicator SST of 6℃ are consistent with the east-west zonal areas in the central East Sea which represented over 1℃ standard deviation of SST in February during 1990-2000. Annual SST in the fishing grounds of common squid fishing vessels, observed both by fishing vessels and satellites range from 9-22℃, with the satellite-observed data having a larger range than the fishing vessel-based ones. The interannual distributions of the common squid fishing grounds in the East Sea are mostly concentrated in the TWC area in the southwestern part of the East Sea and in the coast of southern Honshu and Hokkaido in Japan. The interannual distributions of the nighttime fishing vessels are consistent with the catches investigated from the fishing vessel.

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Distribution of Fishing Boats at Night in the East Sea Derived from DMSP/OLS Imagery

Cited by 6 publications

References 9 publications

Understanding the Spatial and Temporal Distribution and Environmental Characteristics of Polychaete Assemblages in the Coastal Waters of Ulleungdo, East Sea of Korea

Understanding the Spatial and Temporal Distribution and Environmental Characteristics of Polychaete Assemblages in the Coastal Waters of Ulleungdo, East Sea of Korea

Estimation of Cargo Handling Capacity of Coastal Ports in China Based on Panel Model and DMSP-OLS Nighttime Light Data

Interannual Variability of Common Squid Fishing Ground in the East Sea derived from Satellite and In-situ Data

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