The environmental analysis and site selection of mussel and large yellow croaker aquaculture areas based on high resolution remote sensing

Lina Cai Jie Yin Xiaojun Yan Yongdong Zhou Rong Tang Menghan Yu

Lina Cai, Jie Yin, Xiaojun Yan, Yongdong Zhou, Rong Tang, Menghan Yu. The environmental analysis and site selection of mussel and large yellow croaker aquaculture areas based on high resolution remote sensing[J]. Acta Oceanologica Sinica, 2024, 43(3): 66-86. doi: 10.1007/s13131-023-2284-5
Citation: Lina Cai, Jie Yin, Xiaojun Yan, Yongdong Zhou, Rong Tang, Menghan Yu. The environmental analysis and site selection of mussel and large yellow croaker aquaculture areas based on high resolution remote sensing[J]. Acta Oceanologica Sinica, 2024, 43(3): 66-86. doi: 10.1007/s13131-023-2284-5

doi: 10.1007/s13131-023-2284-5

The environmental analysis and site selection of mussel and large yellow croaker aquaculture areas based on high resolution remote sensing

Funds: The National Key Research and Development Program of China under contract Nos 2023YFD2401900 and 2020YFD09008004; the National Natural Science Foundation of China Key International (Regional) Cooperative Research Project under contract No. 42020104009; the Basic Public Welfare Research Program of Zhejiang Province under contract No. LGF21D010004.
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  • Figure  1.  The location of Zhoushan Islands. Point 1: Zhoushan Gouqi Island. S: Zhoushan Ma’an Archipelago sea area. Point 2: Zhoushan Qingbang Island. Z: Zhongjieshan Archipelago sea area of Dongji Town. The red marks are the locations of the two national aquaculture demonstration zones in Zhoushan. The yellow mark is the sampling point of in-situ current data. The map on the top left downloaded from http://211.159.153.75/, with figure number of GS(2023)2764.

    Figure  2.  Location of Zhoushan aquaculture area (a and c), a photograph of the mussel aquaculture area in Shengsi, Zhoushan (b), a photograph of large yellow croaker cages near Qingbang Island in Zhoushan (d), and histogram of GF-6 images (March 3, 2019) in 4 bands (e). Four red squares (1, 2, 3, 4) in a: Zhoushan mussel aquaculture area in Shengsi. Two red squares (5, 6) in c: Qingbang Island large yellow croaker aquaculture area in Zhoushan.

    Figure  3.  Flow chart to determine fishery ranching index.

    Figure  4.  Aquaculture area extracted using FRI1 (a, b, and c) and FRI2 (d, e, and f). The colorful parts in the image highlight the aquaculture area. Images in a and d are from GF-6 satelite data on October 3, 2019. Images in b, c, e, and f are from GF-6 satelite data on August 22, 2020. The colored parts in a and d are the main mussel aquaculture areas around Gouqi Island, and b, c, e, and f are large yellow croaker aquaculture areas around Dongji Qingbang Island.

    Figure  5.  Flow velocity and direction at surface and bottom during August 29 to August 31, 2020.

    Figure  6.  The current of the Zhoushan sea area on December 13, 2020.

    Figure  7.  SST retrieved from Landsat 8 TIRS image.

    Figure  8.  Chl-a concentration distribution retrieved from HY-1C CZI images (a–l), Chl-a concentration distribution retrieved from Landsat8 images (m–r), and average Chl-a concentration distribution map from 2017 to 2020 (s–v). The black arrow indicates the direction of the local tidal current.

    Figure  9.  SSC distribution in aquaculture area obtained from GF-1 wide field-of-view satellite images (a–o) and the study areas (p, red boxes). The black arrow indicates the direction of the tidal current.

    Figure  10.  The distribution of SST, SSS, and wind field. a b, c, and d were obtained from Group for High-Resolution SST (GHRSST) 2021 monthly mean SST data. e, f, g, and h were obtained from the 2021 SSS data provided by Copernicus Marine Environment Monitoring Service (CMEMS). i, j, k, and l were obtained from the 2021 monthly average wind field data provided by Pacific Islands Ocean Observing System (PacIOOS).

    Figure  11.  Zhoushan mariculture area and potential mariculture area. The areas in the red boxes are mussel aquaculture area, the areas in the yellow boxes are large yellow croaker aquaculture area, the area in the black box is potential mussel aquaculture area and the areas in the green boxes are potential large yellow croaker aquaculture area. Areas 1, 2, 3, and 4 are the typical regions of the two aquaculture areas. Area 1: Gouqi Island area. Area 2: Qushan Islands area. Area 3: Qingbang Island area. Area 4: Liuheng Island area. Area 5: Shengsi Islands area. Area 6: Daxizhai Island area. Area 7: Putuo Mountain Island area.

    Figure  12.  Frequency of typhoons and red tides in the Zhoushan sea area.

    Figure  13.  Two-step remote sensing method and mechanism for potential site selection for the mussels and large yellow croaker aquaculture area.

    Table  1.   GF-1 satellite payload parameters

    Sensor Band No. Spectral range/μm Spatial resolution/m
    PMS 1 0.45–0.90 2
    PMS 2 0.45–0.52 8
    PMS 3 0.52–0.59 8
    PMS 4 0.63–0.69 8
    PMS 5 0.77–0.89 8
    WFV 1 0.45–0.52 16
    WFV 2 0.52–0.59 16
    WFV 3 0.63–0.69 16
    WFV 4 0.77–0.89 16
    下载: 导出CSV

    Table  2.   GF-6 satellite payload parameter

    Sensor Band No. Spectral range/μm Spatial resolution/m Width/km
    PMS 1 (Pan) 0.45–0.90 2 >90
    PMS 2 (blue) 0.45–0.52 8 >90
    PMS 3 (green) 0.52–0.59 8 >90
    PMS 4 (red) 0.63–0.69 8 >90
    PMS 5 (NIR) 0.770.89 8 >90
    Note: Pan, panchromatic; NIR, near infrared.
    下载: 导出CSV

    Table  3.   HY-1C Satellite payload parameters

    Sensor Band No. Spectral range/μm Spatial resolution/m
    CZI 1 0.42–0.50 50
    CZI 2 0.52–0.60 50
    CZI 3 0.61–0.69 50
    CZI 4 0.76–0.89 50
    下载: 导出CSV

    Table  4.   Landsat-8 Satellite payload parameters

    Sensor Band No. Spectral range/μm Spatial resolution/m
    OIL 1 0.49–0.45 30
    OIL 2 0.45–0.51 30
    OIL 3 0.53–0.59 30
    OIL 4 0.64–0.67 30
    OIL 5 0.85–0.88 30
    OIL 6 1.57–1.65 30
    OIL 7 2.11–2.29 30
    OIL 8 0.50–0.68 15
    OIL 9 1.36–1.38 30
    TIRS 10 10.60–11.19 100
    TIRS 11 11.50–12.51 100
    下载: 导出CSV

    Table  5.   The water body and float pixel differences from Band 1 to Band 4

    Group Water body and float pixel difference
    Band 1 Band 2 Band 3 Band 4
    Group 1 60 50 47 113
    Group 2 106 126 122 83
    Group 3 249 249 228 199
    Group 4 60 54 62 112
    Group 5 69 70 108 145
    Group 6 151 181 175 67
    Group 7 88 93 107 98
    Group 8 111 101 110 138
    Group 9 146 124 104 129
    Group 10 87 123 151 105
    Group 11 51 52 66 89
    Group 12 157 165 163 175
    Group 13 85 85 103 139
    Group 14 65 71 81 55
    Group 15 87 70 102 150
    Group 16 111 98 134 110
    Group 17 162 161 182 132
    Group 18 75 74 126 173
    Group 19 269 316 318 184
    Group 20 218 266 377 252
    120.35 126.45 143.3 132.4
    Note: The bold numbers represent average values.
    下载: 导出CSV

    Table  6.   Comparison of FRI in Gouqi Island mussel aquaculture area (high sediment concentration)

    Group FRI1 DN difference value FRI2 DN difference value
    Group 1 4.2715 11.5829
    Group 2 1.1421 7.8749
    Group 3 5.6927 7.9030
    Group 4 1.2801 3.9819
    Group 5 3.1422 8.9573
    Group 6 1.2521 6.1892
    Group 7 2.9368 8.1809
    Group 8 4.9435 11.4821
    Group 9 33.5121 25.2411
    Group 10 15.9151 17.1548
    7.4088 10.8548
    Note: The values in the table represent the water body and floating raft DN differences (from the FRI), and the bold numbers are average values. In the mussel aquaculture area with high sediment concentration, the difference between FRI2 sampling point pairs was greater than that of FRI1.
    下载: 导出CSV

    Table  7.   Comparison of FRI in Gouqi Island mussel aquaculture area (low sediment concentration)

    Group FRI1 DN difference value FRI2 DN difference value
    Group 1 17.2449 16.5857
    Group 2 16.9885 18.6439
    Group 3 16.7788 7.4004
    Group 4 12.7052 10.1599
    Group 5 11.5455 8.1728
    Group 6 10.0933 9.1448
    Group 7 13.3005 9.4569
    Group 8 12.5430 8.6315
    Group 9 12.5499 8.0211
    Group 10 14.5369 6.8512
    13.8286 10.3068
    Note: The values in the table represent the water body and floating raft DN differences (from the FRI), and the bold numbers are average values. There was no significant difference between the FRI1 and FRI2 extraction in the mussel aquaculture area with low sediment concentration, but the difference between FRI1 sampling point pairs was still greater than that of FRI2.
    下载: 导出CSV

    Table  8.   Comparison of FRI in Qingbang large yellow croaker aquaculture area

    Group FRI1 DN difference value FRI2 DN difference value
    Group 1 24.4985 99.2819
    Group 2 6.9483 197.2781
    Group 3 22.626 0 135.5604
    Group 4 54.2082 119.9738
    Group 5 21.4199 105.0091
    Group 6 21.4233 152.3744
    25.1874 134.9130
    Note: The values in the table represent the water body and floating raft DN differences (from the FRI), and the bold numbers are average values. In the large yellow croaker aquaculture area, the difference of sampling point pairs by the FRI2 method was significantly larger than that by FRI1.
    下载: 导出CSV

    Table  9.   Summary of marine environment factors in Zhoushan aquaculture areas

    Area SST/℃ SSC/
    (mg · L–1)
    SSS Chl-a concentration/
    (μg · L–1)
    Current velocity/
    (m · s–1)
    Depth/m Seafloor
    sediment
    Upwelling
    Zhoushan mussel
    aquaculture area
    12–26 200–800 20–30 2–8 0.16–1.00 >15 silty clay have
    Zhoushan large yellow
    croaker aquaculture area
    12.6–26 250–600 20–30 3–9 0.20–2.00 >17 oozy and
    silty clay
    have
    下载: 导出CSV
  • Apte D, Narayana S, Dutta S. 2019. Impact of sea surface temperature anomalies on giant clam population dynamics in Lakshadweep reefs: inferences from a fourteen years study. Ecological Indicators, 107: 105604, doi: 10.1016/j.ecolind.2019.105604
    Bai Zhaoguang. 2013. Technical characteristics of Gaofen-1 satellite. Aerospace China (in Chinese), 2013(8): 5–9
    Bai Siqi, Zou Xiaorong, Zhang Peng, et al. 2021. Study on spatial heterogeneity effect of environmental factors on distribution of Chilean jack mackerel in Southeast Pacific Ocean. South China Fisheries Science (in Chinese), 17(1): 17–24, doi: 10.12131/20200172
    Barsi J A, Schott J R, Hook S J, et al. 2014. Landsat-8 thermal infrared sensor (TIRS) vicarious radiometric calibration. Remote Sensing, 6(11): 11607–11626, doi: 10.3390/rs61111607
    Blix K, Pálffy K, Tóth V R, et al. 2018. Remote sensing of water quality parameters over lake balaton by using Sentinel-3 OLCI. Water, 10(10): 1428, doi: 10.3390/w10101428
    Cai Lina, Tang Rong, Yan Xiaojun, et al. 2022. The spatial-temporal consistency of chlorophyll-a and fishery resources in the water of the Zhoushan archipelago revealed by high resolution remote sensing. Frontiers in Marine Science, 9: 1022375, doi: 10.3389/fmars.2022.1022375
    Cai Lina, Zhou Minrui, Liu Jianqiang, et al. 2020. HY-1C observations of the impacts of islands on suspended sediment distribution in Zhoushan coastal waters, China. Remote Sensing, 12(11): 1766, doi: 10.3390/rs12111766
    Chang Jianbo. 1985. Japan builds new floating reef. Marine Fisheries (in Chinese), 1985(4): 191
    Chen Fei. 2011. Research on industrialization development of large yellow croaker s cultivation in Zhejiang (in Chinese)[dissertation]. Zhoushan: Zhejiang Ocean University
    Chen Peng, Chen Xinjun, Lei Lin. 2018b. Influence of Peruvian upwelling on the anchoveta (Engraulis ringens) fishing ground. Journal of Fisheries of China (in Chinese), 42(9): 1367–1377, doi: 10.11964/jfc.20170410806
    Chen Hanyue, Zhu Li, Li Jiaguo, et al. 2018a. A comparison of two mono-window algorithms for retrieving sea surface temperature from Landsat8 data in coastal water of Hongyan River nuclear power station. Remote Sensing for Land & Resources (in Chinese), 30(1): 45–53, doi: 10.6046/gtzyyg.2018.01.07
    Cheng K H, Chan S N, Lee J H W. 2020. Remote sensing of coastal algal blooms using unmanned aerial vehicles (UAVs). Marine Pollution Bulletin, 152: 110889, doi: 10.1016/j.marpolbul.2020.110889
    Cheng Liang, Ma Youhua, Huang Yanyan, et al. 2011. Comparison of atmospheric correction between ENVI FLAASH and ERDAS ATCOR2. Agriculture Network Information (in Chinese), (12): 17–20, doi: 10.3969/j.issn.1672-6251.2011.12.006
    Cui Xiaosong, Zhao Chenghai. 2005. Accuracy analysis of ADCP test in lake discharge test. Express Water Resources & Hydropower Information (in Chinese), 26(7): 18–20, doi: 10.15974/j.cnki.slsdkb.2005.07.005
    De Mendonça J C, Lopes F B, De Andrade E M, et al. 2017. Monitoring water quality in a reservoir of the semi-arid region using remote sensing. Journal of Experimental Agriculture International, 19(1): 1–12, doi: 10.9734/JEAI/2017/37913
    Dinguirard M, Slater P N. 1999. Calibration of space-multispectral imaging sensors: A review. Remote Sensing of Environment, 68(3): 194–205, doi: 10.1016/S0034-4257(98)00111-4
    Dong Jiabin, Huang Xinqing. 2019. Typhoon track classification and rainstorm area analysis in Zhejiang. Journal of Zhejiang Meteorology (in Chinese), 40(3): 13–19, doi: 10.16000/j.cnki.zjqx.2019.03.003
    Guo Han. 2018. HY-1C satellite. Satellite Application (in Chinese), (10): 66
    Han Jiwei, Shao Jun, Fu Weii, et al. 2021b. ADCP velocity measurement by towing method based on micro-nano bubble tracer. Journal of China Hydrology (in Chinese), 41(2): 63–68, doi: 10.19797/j.cnki.1000-0852.20190306
    Han Jie, Tao Zui, Xie Yong, et al. 2021a. A novel radiometric cross-calibration of GF-6/WFV with MODIS at the dunhuang radiometric calibration site. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14: 1645–1653, doi: 10.1109/JSTARS.2020.3046738
    Hu Mingna. 2007. Coastal upwelling in the Zhoushan and its adjacent seas detected by satellite measurements (in Chinese)[dissertation]. Qingdao: Ocean University of China
    Hu Jilian. 2020. Study on settlement velocity of near-shore suspended body in Zhoushan fishing ground. Rural Economy and Science-Technology (in Chinese), 31(3): 72–74,111, doi: 10.3969/j.issn.1007-7103.2020.03.033
    Hu Qiwei, Chen Xiaoyan, Huang Wanyi, et al. 2021. Phytoplankton bloom triggered by eddy-wind interaction in the upwelling region East of Hainan Island. Journal of Marine Systems, 214: 103470, doi: 10.1016/j.jmarsys.2020.103470
    Huang Lingguang, Fang Yu, Zhang Dawen, et al. 2016. Quantitative retrieval of chlorophyll a concentration based on Landsat-8 OLI in the lakes. Jiangxi Science (in Chinese), 34(4): 441–444,456, doi: 10.13990/j.issn1001-3679.2016.04.009
    Huo Fuhuai. 1996. Four major fishing grounds in the world. Journal of Educational Studies (in Chinese), (6): 39
    Jia Kun, Liang Shunlin, Gu Xingfa, et al. 2016. Fractional vegetation cover estimation algorithm for Chinese GF-1 wide field view data. Remote Sensing of Environment, 177: 184–191, doi: 10.1016/j.rse.2016.02.019
    Jiang Zongchen, Ma Yi. 2020. Accurate extraction of offshore raft aquaculture areas based on a 3D-CNN model. International Journal of Remote Sensing, 41(14): 5457–5481, doi: 10.1080/01431161.2020.1737340
    Kimambo O N, Chikoore H, Gumbo J R, et al. 2019. Retrospective analysis of Chlorophyll-a and its correlation with climate and hydrological variations in Mindu Dam, Morogoro, Tanzania. Heliyon, 5(11): e02834, doi: 10.1016/j.heliyon.2019.e02834
    Lei Sen, Zou Zhengxia, Liu Dunge, et al. 2018. Sea-land segmentation for infrared remote sensing images based on superpixels and multi-scale features. Infrared Physics & Technology, 91: 12–17, doi: 10.1016/j.infrared.2018.03.012
    Li Siyuan, He Zhijiang, Yu Hongyue, et al. 2021a. Comparative study on microbial community in mussel mytilus coruscus body and seawater of its natural and cultural sea area in Zhoushan, Zhejiang. Oceanologia et Limnologia Sinica (in Chinese), 52(1): 196–205, doi: 10.11693/hyhz20200700217
    Li Yan, Shang Shaoling, Zhang Caiyun, et al. 2006. Remote sensing of algal blooms using a turbidity-free function for near-infrared and red signals. Chinese Science Bulletin, 51(4): 464–471, doi: 10.1007/s11434-006-0464-2
    Li Liwei, Wang Wei, Wu Xuejiao. 2019. Study on orthorectification and image fusion algorithm of GF-1 satellite imagery in forest resource extraction. Journal of Green Science and Technology (in Chinese), (8): 219–222, doi: 10.16663/j.cnki.lskj.2019.08.079
    Li Xiaoyu, Yu Rencheng, Geng Huixia, et al. 2021b. Increasing dominance of dinoflagellate red tides in the coastal waters of Yellow Sea, China. Marine Pollution Bulletin, 168: 112439, doi: 10.1016/J.MARPOLBUL.2021.112439
    Liang Xiaoxia. 2018. Long March 2C carrier rocket successfully launched HY-1C satellite. Missiles and Space Vehicles (in Chinese), (5): 56
    Liu Min, De Mitcheson Y S. 2008. Profile of a fishery collapse: why mariculture failed to save the large yellow croaker. Fish and Fisheries, 9(3): 219–242, doi: 10.1111/j.1467-2979.2008.00278.x
    Loveland T R, Irons J R. 2016. Landsat 8: the plans, the reality, and the legacy. Remote Sensing of Environment, 185: 1–6, doi: 10.1016/j.rse.2016.07.033
    Lu Xiaojie, Dong Changming, Li Gang. 2018. Variations of typhoon frequency and landfall position in East China Sea from 1951 to 2015. Transactions of Atmospheric Sciences (in Chinese), 41(4): 433–440, doi: 10.13878/j.cnki.dqkxxb.20170803001
    Ma Yichao, Mi Hongyan, Zhong Kai. 2018. Research on urban ecological environment of high resolution remote sensing image based on ENVI. Computer Engineering & Software (in Chinese), 39(11): 235–238, doi: 10.3969/j.issn.1003-6970.2018.11.049
    Ma Junying, Yang Jiming. 1994. Marine ranch studies in Japan. Marine Sciences (in Chinese), (3): 23–24
    Massarelli C, Galeone C, Savino I, et al. 2021. Towards sustainable management of mussel farming through high-resolution images and open source software-the taranto case study. Remote Sensing, 13(15): 2985, doi: 10.3390/rs13152985
    Miller R L, McKee B A. 2004. Using MODIS Terra 250 m imagery to map concentrations of total suspended matter in coastal waters. Remote Sensing of Environment, 93(1-2): 259–266, doi: 10.1016/j.rse.2004.07.012
    Nazeer M, Nichol J E. 2016. Development and application of a remote sensing-based Chlorophyll-a concentration prediction model for complex coastal waters of Hong Kong. Journal of Hydrology, 532: 80–89, doi: 10.1016/j.jhydrol.2015.11.037
    Ottinger M, Clauss K, Kuenzer C. 2017. Large-scale assessment of coastal aquaculture ponds with Sentinel-1 time series data. Remote Sensing, 9(5): 440, doi: 10.3390/rs9050440
    Paulino C, Segura M, Chacón G. 2016. Spatial variability of jumbo flying squid (Dosidicus gigas) fishery related to remotely sensed SST and chlorophyll-a concentration (2004–2012). Fisheries Research, 173: 122–127, doi: 10.1016/j.fishres.2015.10.006
    Perkins S. 2019. Inner workings: ramping up the fight against Florida’s red tides. Proceedings of the National Academy of Sciences of the United States of America, 116(14): 6510–6512, doi: 10.1073/pnas.1902219116
    Platt T, Shah P, George G, et al. 2015. Use of remote sensing in the context of cage aquaculture. In: Proceedings of the 5th International Symposium on Cage Aquaculture in Asia. Kochi, India: CMFRI and Asian Fisheries Society Qin Zhihao, Karnieli A. 1999. Progress in the remote sensing of land surface temperature and ground emissivity using NOAA-AVHRR data. International Journal of Remote Sensing, 20(12): 2367–2393, doi: 10.1080/014311699212074
    Qin Zhihao, Karnieli A, Berliner P. 2001. A mono-window algorithm for retrieving land surface temperature from Landsat TM data and its application to the Israel-Egypt border region. International Journal of Remote Sensing, 22(18): 3719–3746, doi: 10.1080/01431160010006971
    Reporter. 2020. Implement the guiding principles of the fifth Plenary Session of the 19th CPC Central Committee. People’s Daily (in Chinese), 2020-11-12, doi: 10.28655/n.cnki.nrmrb.2020.011245
    Roy D P, Wulder M A, Loveland T R, et al. 2014. Landsat-8: science and product vision for terrestrial global change research. Remote Sensing of Environment, 145: 154–172, doi: 10.1016/j.rse.2014.02.001
    Sarala D, Jacob S. 2014. Digital image processing—A remote sensing perspective. International Journal of Innovative Research and Development, 3(12): 295–300
    Setiawati M D, Sambah A B, Miura F, et al. 2015. Characterization of bigeye tuna habitat in the southern waters off Java–Bali using remote sensing data. Advances in Space Research, 55(2): 732–746, doi: 10.1016/j.asr.2014.10.007
    Shafeeque M, Balchand A N, Shah P, et al. 2021. Spatio-temporal variability of chlorophyll-a in response to coastal upwelling and mesoscale eddies in the south eastern Arabian Sea. International Journal of Remote Sensing, 42(13): 4836–4863, doi: 10.1080/01431161.2021.1899329
    Shikata T, Taniguchi E, Sakamoto S, et al. 2020. Phylogeny, growth and toxicity of the noxious red-tide dinoflagellate Alexandrium leei in Japan. Regional Studies in Marine Science, 36: 101265, doi: 10.1016/j.rsma.2020.101265
    Song Yaming. 2001. Hydrological characteristics of Zhoushan Islands. Journal of China Hydrology (in Chinese), 21(6): 59–62, doi: 10.3969/j.issn.1000-0852.2001.06.019
    Sui Baikai, Jiang Tao, Zhang Zhen, et al. 2020. A modeling method for automatic extraction of offshore aquaculture zones based on semantic segmentation. ISPRS International Journal of Geo-Information, 9(3): 145, doi: 10.3390/ijgi9030145
    Sun Jun. 2005. Zeng Chengkui: life as a marine scientist. China Education Daily (in Chinese), 2005-03-24
    Sun Pan, Dong Yusen, Chen Weitao, et al. 2016. Research on fusion of GF-2 imagery and quality evaluation. Remote Sensing for Natural Resources (in Chinese), 28(4): 108–113, doi: 10.6046/gtzyyg.2016.04.17
    Tan Saichun, Shi Guangyu. 2006. Remote sensing for ocean primary productivity and its spatio-temporal variability in the China Seas. Acta Geographica Sinica (in Chinese), 61(11): 1189–1199, doi: 10.3321/j.issn:0375-5444.2006.11.008
    Teng Yue, Zou Bin, Ye Xiaomin. 2022. Study on the chlorophyll a concentration retrieved from HY-1C satellite coastal zone imager data. Haiyang Xuebao (in Chinese), 44(5): 25–34
    Torregroza-Espinosa A C, Restrepo J C, Escobar J, et al. 2021. Spatial and temporal variability of temperature, salinity and chlorophyll-a in the Magdalena River mouth, Caribbean Sea. Journal of South American Earth Sciences, 105: 102978, doi: 10.1016/j.jsames.2020.102978
    Viúdez Á, Balsells M F P, Rodríguez-Marroyo R. 2016. Artificial upwelling using offshore wind energy for mariculture applications. Scientia Marina, 80(S1): 235–248, doi: 10.3989/scimar.04297.06B
    Wang Xu. 2018. A LM-2D carrier rocket successfully sends GF-6 satellite into orbit. Aerospace China (in Chinese), (6): 14, doi: 10.3969/j.issn.1002-7742.2018.06.004
    Wang Fei, Qin Zhihao, Song Caiying, et al. 2015. An improved mono-window algorithm for land surface temperature retrieval from Landsat 8 thermal infrared sensor data. Remote Sensing, 7(4): 4268–4289, doi: 10.3390/rs70404268
    Wang Zhihua, Yang Xiaomei, Liu Yueming, et al. 2018. Extraction of coastal raft cultivation area with heterogeneous water background by thresholding object-based visually salient NDVI from high spatial resolution imagery. Remote Sensing Letters, 9(9): 839–846, doi: 10.1080/2150704X.2018.1468103
    Wang Wei, Yang Fang, Zhang Peng, et al. 2020. An approach for automatic preprocessing of high-resolution remote sensing data and vegetation extraction based on ENVI/IDL: a case study of hunan forestry. Journal of Hunan City University (Natural Science)(in Chinese), 29(2): 45–50, doi: 10.3969/j.issn.1672-7304.2020.02.0012
    Wei Guifeng, Tang Danling, Wang Sufen. 2008. Distribution of chlorophyll and harmful algal blooms (HABs): a review on space based studies in the coastal environments of Chinese marginal seas. Advances in Space Research, 41(1): 12–19, doi: 10.1016/j.asr.2007.01.037
    Wilkens J L, Katzenmeyer A W, Hahn N M, et al. 2015. Laboratory test of suspended sediment effects on short-term survival and swimming performance of juvenile Atlantic sturgeon (Acipenser oxyrinchus oxyrinchus, Mitchill, 1815). Journal of Applied Ichthyology, 31(6): 984–990, doi: 10.1111/jai.12875
    Wong W H, Levinton J S. 2004. Culture of the blue mussel Mytilus edulis (Linnaeus, 1758) fed both phytoplankton and zooplankton: a microcosm experiment. Aquaculture Research, 35(10): 965–969, doi: 10.1111/j.1365-2109.2004.01107.x
    Xu Hanqiu. 2015. Retrieval of the reflectance and land surface temperature of the newly-launched Landsat 8 satellite. Chinese Journal of Geophysics (in Chinese), 58(3): 741–747, doi: 10.6038/cjg20150304
    Xu Jiakang, Peng Lihua, Gao Wei, et al. 2017. Effects of light intensity, water temperature and density on aggregation of juvenile mussel Mytilus coruscus. Journal of Dalian Ocean University (in Chinese), 32(3): 275–279, doi: 10.16535/j.cnki.dlhyxb.2017.03.004
    Yan Hua, Chen Ying. 2021. Analysis of relative radiometric correction method for GF-6 satellite. Science & Technology Vision (in Chinese), (3): 5–8, doi: 10.19694/j.cnki.issn2095-2457.2021.03.02
    Yan Mingjun, Hu Chunting, Lin Danging, et al. 2020. The diversity of fish communities and the effects of tidal intensity in the near-shore lower reaches of Yangtze River. Chinese Journal of Ecology (in Chinese), 39(6): 1865–1874, doi: 10.13292/j.1000-4890.202006.030
    Yang Long. 2020. ENVI high-resolution remote sensing image data preprocessing. Journal of Jiaozuo University (in Chinese), 34(1): 97–100, doi: 10.16214/j.cnki.cn41-1276/g4.2020.01.022
    Yang Hongsheng, Huo Da, Xu Qiang. 2016. Views on modern marine ranching. Oceanologia et Limnologia Sinica (in Chinese), 47(6): 1059–1074, doi: 10.11693/hyhz20160900203
    Yang Xianping, Sokoletsky L, Hui Wu. 2017. Water quality seasonal variability (2000 to 2015) in Yangtze River estuary and its adjacent coastal area. Journal of Remote Sensing & GIS, 6(4): 1000216
    Yang Yipeng, Wang Qiao, Xiao Qing, et al. 2006. Quantitative remote sensing inversion methods of chlorophyll-a concentration in Taihu Lake based on TM data. Geography and Geo-Information Science, 22(2): 5–8, doi: 10.3969/j.issn.1672-0504.2006.02.002
    Yang Hongsheng, Zhou Yi. 1998. Research progress on the effects of filter-feeding shellfish on the environment of cultured Marine areas. Marine Sciences, (2): 42–44
    Yao Ru, Cai Lina, Liu Jianqiang, et al. 2020. GF-1 satellite observations of suspended sediment injection of Yellow River Estuary, China. Remote Sensing, 12(19): 3126, doi: 10.3390/rs12193126
    Ye Wei, Song Wei. 2020. Quantitative remote sensing monitoring of water quality in Bohai Bay based on Landsat multispectral data. E3S Web of Conferences, 206: 03007, doi: 10.1051/e3sconf/202020603007
    Ye Yingying, Xu Meiying, Wu Changwen. 2011. Influences of some environmental factors on growth and survival of mytilus coruscus gould larvae. Journal of Zhejiang Ocean University (Natural Science) (in Chinese), 30(4): 292–296, doi: 10.3969/j.issn.1008-830X.2011.04.003
    Yu Cungen, Chen Quanzhen, Chen Xiaoqing, et al. 2010. Species composition and quantitative distribution of fish in the Zhoushan fishing ground and its adjacent waters. Oceanologia et Limnologia Sinica (in Chinese), 41(3): 410–417
    Yu Huijuan, Wang Jinhuan. 2015. From the strategic point of view, the construction of marine ranching should be emphasized and promoted. Rural Economy (in Chinese), (3): 50–53
    Yu Cungen, Yan Xiaojun, Jiang Qiaoli, et al. 2022. Cause analysis of resources change and reconstruction strategy of Larimichthys crocea Daiqu group in the East China Sea. Journal of Fisheries of China (in Chinese), 46(4): 616–625, doi: 10.11964/jfc.20211013126
    Yu Xiang, Yi Huapeng, Liu Xiangyang, et al. 2016. Remote-sensing estimation of dissolved inorganic nitrogen concentration in the Bohai Sea using band combinations derived from MODIS data. International Journal of Remote Sensing, 37(2): 327–340, doi: 10.1080/01431161.2015.1125555
    Yuan Xinzhe, Lin Mingsen, Liu Jianqiang, et al. 2018. Application of GF-3 satellite in marine field. Satellite Application, (6): 17–21, doi: 10.3969/j.issn.1674-9030.2018.06.007
    Zang Xi. 2018. Comparative study on fusion methods of GF-2 satellite image in land engineering application. China Western Developmen (in Chinese), 3(11): 7–12,17
    Zhai Z K, Lu S L, Wang P, et al. 2021. Ocean Chlorophyll-a retrieval using GF1-WFV data—A case study of the central Bohai Sea. IOP Conference Series: Earth and Environmental Science, 626(1): 012021, doi: 10.1088/1755-1315/626/1/012021
    Zhang Yihao. 2009. Study on shape comparison of mussel species in Zhejiang coast. Fisheries Economy Research (in Chinese), (2): 14–20, doi: 10.3969/j.issn.1674-9189.2009.02.004
    Zhang Qing, Chen Peng. 2021. Application of gaofen No. 6 satellite in vegetation ecological remote sensing monitoring. Journal of Agriculture (in Chinese), 11(7): 56–59,111, doi: 10.11923/j.issn.2095-4050.cjas20191200315
    Zhang Yi, Wang Chengyi, Ji Yuan, et al. 2020. Combining segmentation network and nonsubsampled contourlet transform for automatic marine raft aquaculture area extraction from sentinel-1 images. Remote Sensing, 12(24): 4182, doi: 10.3390/rs12244182
    Zhang Tao, Yang Xiaomei, Hu Shanshan, et al. 2013. Extraction of coastline in aquaculture coast from multispectral remote Sensing images: object-based region growing integrating edge detection. Remote Sensing, 5(9): 4470–4487, doi: 10.3390/rs5094470
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出版历程
  • 收稿日期:  2023-06-06
  • 录用日期:  2023-12-08
  • 网络出版日期:  2024-03-12
  • 刊出日期:  2024-03-25

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