近期论文
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一、渔业遥感在水产养殖区规划和管理方面的应用
1. 刘阳. 遥感技术在海水养殖适宜性研究中的应用与进展[J]. 福建师大福清分校学报, 2021, (2): 101-111. (特邀稿件)
2. 尹子旭, 王鹏浩, 刘阳*, 李春霖, 张志新, 李琪. 基于遥感和DEB模型的山东半岛长牡蛎秋冬季育肥养殖适宜区域评价研究[J]. 水产学报, 2023.
3. Zixu Yin, Yang Liu, Chunlin Li, Zhangqi Si, Latif Kalin, Enis Baltaci, Hui Peng, Sei-Ichi Saitoh, Qi Li. Marine aquaculture spatial planning on market orientation for Pacific oyster in Shandong, China. Aquaculture*, 2024, 591: 741144.
4. Mou, T., Liu, Y., 2024. Utilizing the cloud-based satellite platform to explore the dynamics of coastal aquaculture ponds from 1986 to 2020 in Shandong Province, China. Marine Pollution Bulletin*, 211, 117414.
5. Kumgumpol, H. Liu, Y. Pokavanich, T. Alabia, I.D. Yin, Z. Saitoh, S.-I. Tian, Y. Environmental Habitat Mapping of Green Mussel: A GIS-Based Approach for Sustainable Aquaculture in the Inner Gulf of Thailand. Sustainability*, 2020, 12, 10643.
6. Liu Y, Saitoh S-I, Maekawa K, Mochizuki K-I, Tian Y.J. Impact of short-term climate effects and sea ice coverage variation on Japanese scallop aquaculture in Saroma Lake, Japan. Aquaculture Research. 2018, 49(5): 1752-1767.
7. Liu, Y., Saitoh, S-I., Ihara, Y., Nakada, S., Kanamori, M., Zhang, X., Baba, K., Ishikawa, Y., and Hirawake, T. Development of a three dimensional growth prediction model for the Japanese scallop in Funka Bay, Japan, using OGCM and MODIS. ICES Journal of Marine Science, 2015, 72(9), 2684-2699.
8. Liu, Y., Saitoh, S-I., Radiarta, I.N., Hirawake, T., Spatiotemporal variations in suitable areas for Japanese scallop aquaculture in Dalian, China from 2003 to 2012. Aquaculture, 2014, 422-423: 172-183.
9. Liu, Y., Saitoh, S-I., Radiarta, I.N., Isada, T., Hirawake, T., Mizuta, H., and Yasui, H. Improvement of an aquaculture site-selection model for Japanese kelp (Saccharina japonica) in southern Hokkaido, Japan: an application for the impacts of climate events. ICES Journal of Marine Science, 2013, 70: 1460-1470.
二、夜光遥感在渔业方面的应用
1. 陈冠宇, 刘阳*, 田浩, 叶振江, 于海庆, 李建超, 田永军. 以VIIRS-DNB数据为基础的黄海渔船夜间灯光动态. 水产学报, 2020, 44(6): 1047-1056.
2. 田浩, 刘阳*, 田永军, 刘世刚, 闫鲁鑫, 陈冠宇, 李建超, 李渊, 林龙山. 基于遥感夜间灯光数据的西北太平洋秋刀鱼渔船识别研究. 水产学报, 2019, 43(11).
3. 孙贺, 刘阳*, 田浩, 等. 基于VIIRS/DNB数据研究新冠疫情对黄渤海灯光渔船活动的影响[J]. 中国海洋大学学报(自然科学版), 2023, 53(3).
4. Youfu Jing, Yang Liu. Spatiotemporally explicit risk assessment of fishing grounds in Asian waters. Marine Policy*, July 2024.
5. Hao Tian, Yang Liu, Jianchao Li, Qinwang Xing, He Sun & Yongjun Tian. Satellite night time remote sensing promotes the spatially refined monitoring and assessment of offshore fishery. International Journal of Digital Earth*, 2024, 17:1, 2322762.
6. Hao Tian, Yang Liu, Yongjun Tian, Irene D. Alabia, Yuanzhe Qin, He Sun, Jianchao Li, Shuyang Ma, Sei-Ichi Saitoh. A Comprehensive Monitoring and Assessment System for Multiple Fisheries Resources in the Northwest Pacific Based on Satellite Remote Sensing Technology. Frontiers in Marine Science*, 2022, 9: 808282.
7. Hao Tian, Yang Liu, Yongjun Tian, Youfu Jing, Shuhao Liu, Xudong Liu, Yong Zhang. Advances in the use of nighttime light data to monitor and assess coastal fisheries under the impacts of human activities and climate and environmental changes: A case study in the Beibu Gulf. Marine Policy*, 2022, 144: 105227.
8. Liu, Y, Saitoh S-I, Hirawake T., Igarashi, H., Ishikawa, Y. Detection of Squid and Pacific Saury fishing vessels around Japan using VIIRS Day/Night Band image. Proceedings of the Asia-Pacific Advanced Network, 2015, Vol. 39, 28-39.
三、渔业遥感在渔场评估的应用
1. 刘阳*, 田浩, 李春霖, 等. 卫星遥感在海洋渔业的应用与展望[J]. 中国海洋大学学报(自然科学版), 2024, 54(10): 90-103.
2. 夏欣梅, 田永军, 刘阳*, 刘世刚, 李建超, 马舒扬. 西北太平洋海域太平洋褶柔鱼秋生群产卵场指数动态评估[J]. 中国海洋大学学报(自然科学版), 2021.
3. 秦元哲, 周振佳, 刘阳*, 田永军, 程家骅, 等. 基于自动机器学习的黄、渤、东海蓝点马鲛渔场丰度指数研究[J]. 中国水产科学, 2022.
4. Liu, S., Liu, Y., Xing, Q., Li, Y., Tian, H., Luo, Y., Ito, S., Tian, Y. Climate change drives fish communities: Changing multiple facets of fish biodiversity in the Northwest Pacific Ocean. Science of The Total Environment, 2024, 955, 176854.
5. Han, F., Liu, Y., Tian, H., Li, J., Tian, Y. A comprehensive framework incorporating deep learning for analyzing fishing vessel activity using automatic identification system data. ICES Journal of Marine Science, 2024, 0, 1-16.
6. Liu Shuhao, Tian Yongjun, Liu Yang, Alabia Irene D, Cheng Jiahua, Ito Shin-ichi. Development of a prey-predator species distribution model for a large piscivorous fish: A case study for Japanese Spanish mackerel Scomberomorus niphonius and Japanese anchovy Engraulis japonicus. Deep-Sea Research Part II: Topical Studies in Oceanography*, 2023, 207, 105227.
7. Shigang Liu, Yang Liu, Jianchao Li, Chang Cao, Hao Tian, Wenjia Li, Yongjun Tian, Yoshiro Watanabe, Longshan Lin, Yuan Li. Effects of oceanographic environment on the distribution and migration of Pacific saury (Cololabis saira) during main fishing season. Scientific Reports, 2022, 12(1). DOI: 10.1038/s41598-022-17786-9.
8. Rui Zhang, Yang Liu, Hao Tian, Shu Hao Liu, Kaiwei Zu and Xinmei Xia. Impact of climate change on Long-term variations of small yellow croaker (Larimichthys polyactis) winter fishing grounds. Frontiers in Marine Science*, 2022, 9: 915765.
9. Chuanyang Huang, Yang Liu, Yanping Luo, Yuntao Wang, Xudong Liu, Yong Zhang, Yunyun Zhuang, Yongjun Tian. Improvement and Assessment of Ocean Color Algorithms in the Northwest Pacific Fishing Ground Using Himawari-8, MODIS-Aqua, and VIIRS-SNPP. Remote Sensing*, 2022, 14(3610): 3610.
10. Qinwang Xing, Haiqing Yu, Yang Liu, Jianchao Li, Yongjun Tian, Andrew Bakun, Chang Cao, Hao Tian, Wenjia Li. Application of a fish habitat model considering mesoscale oceanographic features in evaluating climatic impact on distribution and abundance of Pacific saury (Cololabis saira). Progress in Oceanography, 2022, 201: 102743.
11. Yang Liu, Xinmei Xia, Yongjun Tian, Irene D Alabia, Shuyang Ma, Peng Sun, Sei-Ichi Saitoh. Influence of spawning ground dynamics on the long-term abundance of Japanese flying squid (Todarodes pacificus) winter cohort. Frontiers in Marine Science, 2021, 8: 659816.
12. Liu S.G., Liu Y., Fu C.H., Yan L.X., Xu Y., Wan R., Li J.C., and Tian Y.J. Using novel spawning ground indices to analyze the effects of climate change on Pacific saury abundance. Journal of Marine Systems, 2019, 191: 13-23.
四、气候和海洋环境变化对渔业资源的影响
1. 刘阳, 田永军, 于佳, 等. 中日海洋环境领域研究合作与展望[J]. 海洋学报, 2021, 43(8): 160–162.
2. Liu, Y., Luo, Y., Wang, P., Li, W., Tian, H., Cao, C., Ye, Z., Long, H., Lin, T., Wang, S., Yuan, X., Xiao, S., Watanabe, Y., Tian, Y. Phased chromosome-level genome provides insights into the molecular adaptation for migratory lifestyle and population diversity for Pacific saury, Cololabis saira. Communications Biology, 2024, 7, 1513.
3. Shuyang Ma, Dan Liu, Yongjun Tian, Caihong Fu, Jianchao Li, Peilong Ju, Peng Sun, Zhenjiang Ye, Yang Liu, Yoshiro Watanabe. Critical transitions and ecological resilience of large marine ecosystems in the Northwestern Pacific in response to global warming. Global Change Biology, 2021, 27, 5310–5328.
4. Jianchao Li, Feng Jiang, Rui Wu, Chi Zhang, Yongjun Tian, Peng Sun, Haiqing Yu, Yang Liu, Zhenjiang Ye, Shuyang Ma, Shude Liu, Ziuqiang Dong. Tidally Induced Temporal Variations in Growth of Young of the Year Pacific Cod in the Yellow Sea. Journal of Geophysical Research: Oceans, 2021, 126(6).
5. Ando, K., Lin, X.P., Villanoy, C., Danchenkov, M., Lee, J.H., He, H.J., Liu, Q., Liu, Y., Lobanov, V., Ma, X.L., et al. Half-Century of Scientific Advancements Since the Cooperative Study of the Kuroshio and Adjacent Regions (CSK) Programme Need for a new Kuroshio Programme. Progress in Oceanography, 2021, Doi: 10.1016/j.pocean.2021.102513.
6. Ma, S., Liu, Y., Li, J., Fu, C., Ye, Z., Sun, P., Yu, H., Cheng, J., Tian, Y. Climate-induced long-term variations in ecosystem structure and atmosphere-ocean-ecosystem processes in the Yellow Sea and East China Sea. Progress in Oceanography, 2019, 175: 183-197.
7. Liu, Y., Saitoh, S-I., Igarashi, H., Hirawake, T. The regional impacts of climate change on coastal environments and the aquaculture of Japanese scallops in northeast Asia: case studies from Dalian, China and Funka Bay, Japan. International Journal of Remote Sensing, 2014, 35(11-12): 4422-4440.
五、极地渔业方面
1. 范佳玉, 刘阳*, 段咪, 刘纯琳, 田永军. 基于文献计量的国内外南极渔业资源研究进展[J]. 海洋渔业, 2022.
2. 宋旭辉, 刘阳*, 罗燕萍, 田永军, 等. 基于物种分布模型的南极电灯鱼栖息地分布研究[J]. 中国海洋大学学报(自然科学版), 2025, 55(3).
3. Luo, Y. Liu, Y. Huang, C. Han, F. An Ensemble Machine Learning Approach for Sea Ice Monitoring Using CFOSAT/SCAT Data. Remote Sensing, 2024, 16, 3148.
4. Liu, S., Liu, Y., Teschke, K. et al. Incorporating mesopelagic fish into the evaluation of conservation areas for marine living resources under climate change scenarios. Marine Life Science & Technology, 2024, 6, 68–83.
5. Chunlin Liu, Chi Zhang, Yang Liu, Zhenjiang Ye, Jie Zhang, Mi Duan, Yongjun Tian. Age and growth of Antarctic deep-sea smelt (Bathylagus antarcticus), an important mesopelagic fish in the Southern Ocean. Deep Sea Research Part II: Topical Studies in Oceanography, 2022. DOI: 10.1016/j.dsr2.2022.105122.
6. Mi Duan, Chi Zhang, Yang Liu, Zhenjiang Ye, Chunlin Liu, Yongjun Tian, Jianfeng He. Early-life history traits of two icefishes, spiny icefish Chaenodraco wilsoni and ocellated icefish Chionodraco rastrospinosus, in the Ross Sea revealed by otolith microstructure. Polar Biology, 2022. DOI: 10.1007/s00300-021-03002-3.
六、遥感技术在陆地、大气等方面的应用
1. Liu, Y., Wang, X.F., Guo, M., Tani, H. Mapping the FTS SWIR L2 product of XCO2 and XCH4 data from the GOSAT by the Kriging method – A case study in East Asia. International Journal of Remote Sensing, 2012, 33(10), 3004-3025.
2. Liu, Y., Wang, X.F., Guo, M., Matsuoka, N., Tani, H., Matsumura, S. Spatial and temporal relationships among NDVI, climate factors and land cover changes in northeast Asia from 1982 to 2009. GIScience and Remote Sensing, 2011, 48(3), 371-393.
3. Liu, Y., Guo, M., Wang, X.F., Tani, H., Yi, K.P. Analyze the Impact of Drought on NDVI in Drought Periods Combined with Climate factors and Land Cover in Southwest China. 34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring, 2011.
4. Liu, Y., Wang, X.F., Guo, M., Tani, H. Comparison of GOSAT CAI and SPOT VGT NDVI data with Different Season and Land Cover in East Asia. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., 2011, XXXVIII-4/W25, 94-97.
5. Liu, Y., Wang, X.F., Tani, H. A study on land cover change of two typical cities in Northeast Asia using satellite data. Proceedings, 33rd International Symposium on Remote Sensing of Environment, ISRSE, 2009.