{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T15:46:31Z","timestamp":1774453591569,"version":"3.50.1"},"reference-count":79,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2022,2,22]],"date-time":"2022-02-22T00:00:00Z","timestamp":1645488000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Accurate information on port shipping activities is critical for monitoring global and local traffic flows and assessing the state of development of the maritime industry. Such information is necessary for managers and analysts to make strategic decisions and monitor the maritime industry in achieving management goals. In this study, we used monthly night light (NTL) images of the Suomi National Polar-Orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Day\/Night Band, between 2012 and 2020, to study the night lights emitted by ships in ports\u2019 anchorage areas, as an indicator for shipping activity in anchorage areas and ports. Using a dataset covering 601 anchorage areas from 97 countries, we found a strong correspondence between NTL data and shipping metrics at the country level (n = 97), such as container port throughput (Rs = 0.84, p &lt; 0.01) and maximum cargo carried by ships (Rs = 0.66, p &lt; 0.01), as well as a strong correlation between the number of anchorage points and the NTL values in anchorage areas across the world (Rs = 0.69, p &lt; 0.01; n = 601). The high correspondence levels of the VIIRS NTL data with various shipping indicators show the potential of using NTL data to analyze the spatio-temporal dynamic changes of the shipping activity in anchorage areas, providing convenient open access and a normalized assessment method for shipping industry parameters that are often lacking.<\/jats:p>","DOI":"10.3390\/rs14051079","type":"journal-article","created":{"date-parts":[[2022,2,22]],"date-time":"2022-02-22T22:35:00Z","timestamp":1645569300000},"page":"1079","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["A Global Assessment of Night Lights as an Indicator for Shipping Activity in Anchorage Areas"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4451-5340","authenticated-orcid":false,"given":"Semion","family":"Polinov","sequence":"first","affiliation":[{"name":"Department of Marine Geosciences, Charney School of Marine Sciences, University of Haifa, Mt. Carmel, Haifa 3498838, Israel"},{"name":"The Chaikin Chair for Geostrategy and Maritime Policy & Strategy Research Center, University of Haifa, Mt. Carmel, Haifa 3498838, Israel"}]},{"given":"Revital","family":"Bookman","sequence":"additional","affiliation":[{"name":"Department of Marine Geosciences, Charney School of Marine Sciences, University of Haifa, Mt. Carmel, Haifa 3498838, Israel"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9434-7501","authenticated-orcid":false,"given":"Noam","family":"Levin","sequence":"additional","affiliation":[{"name":"Department of Geography, Hebrew University of Jerusalem, Mount Scopus, Jerusalem 9190501, Israel"},{"name":"Remote Sensing Research Center, School of Earth and Environmental Sciences, University of Queensland, St Lucia, QLD 4072, Australia"}]}],"member":"1968","published-online":{"date-parts":[[2022,2,22]]},"reference":[{"key":"ref_1","unstructured":"UNCTAD (2019). 2019 Review of Maritime Transport, UNCTAD."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"2415","DOI":"10.1038\/s41467-021-22423-6","article-title":"Tracking the global reduction of marine traffic during the COVID-19 pandemic","volume":"12","author":"March","year":"2020","journal-title":"Nat. Commun."},{"key":"ref_3","unstructured":"UNCTAD (2018). Reveiw of Maritime Transport 2018, UNCTAD."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.jtrangeo.2013.12.003","article-title":"The waves of containerization: Shifts in global maritime transportation","volume":"34","author":"Guerrero","year":"2014","journal-title":"J. Transp. Geogr."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"e2020EF001543","DOI":"10.1029\/2020EF001543","article-title":"Demand for Ports to 2050: Climate Policy, Growing Trade and the Impacts of Sea-Level Rise","volume":"8","author":"Hanson","year":"2020","journal-title":"Earth\u2019s Future"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Liu, A., Wei, Y., Yu, B., and Song, W. (2019). Estimation of cargo handling capacity of coastal ports in China based on panel model and DMSP-OLS nighttime light data. Remote Sens., 11.","DOI":"10.3390\/rs11050582"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1108\/MABR-05-2020-0030","article-title":"Mutual information analysis of the factors influencing port throughput","volume":"6","author":"Eskafi","year":"2020","journal-title":"Marit. Bus. Rev."},{"key":"ref_8","first-page":"965","article-title":"Container flow forecasting through neural networks based on metaheuristics","volume":"21","author":"Milosavljevic","year":"2021","journal-title":"Oper. Res."},{"key":"ref_9","unstructured":"UNCTAD (2020). Review of Maritime Transport 2020, UNCTAD."},{"key":"ref_10","unstructured":"Stefan, G. (2018). The Lloyd\u2019s List-A Global Intelligence Unit?. Transfer between Sea and Land, Sidestone Press."},{"key":"ref_11","unstructured":"Mazzarella, F., Vespe, M., Mazzarella, F., Vespe, M., Damalas, D., and Osio, G. (2014, January 7\u201310). Discovering vessel activities at sea using AIS data: Mapping of fishing footprints Discovering Vessel Activities at Sea using AIS Data: Mapping of Fishing Footprints. Proceedings of the 17th International Conference on Information Fusion (FUSION), Salamanca, Spain."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Polinov, S., Bookman, R., and Levin, N. (2021). Spatial and temporal assessment of oil spills in the Mediterranean Sea. Mar. Pollut. Bull., 167.","DOI":"10.1016\/j.marpolbul.2021.112338"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"948","DOI":"10.1126\/science.1149345","article-title":"A global map of human impact on marine ecosystems","volume":"319","author":"Halpern","year":"2008","journal-title":"Science"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/j.marpolbul.2017.08.065","article-title":"Boat anchoring pressure on coastal seabed: Quantification and bias estimation using AIS data","volume":"123","author":"Deter","year":"2017","journal-title":"Mar. Pollut. Bull."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.rse.2016.04.021","article-title":"Illuminating the capabilities of Landsat 8 for mapping night lights","volume":"182","author":"Levin","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Kang, M., Ji, K., Leng, X., and Lin, Z. (2017). Contextual region-based convolutional neural network with multilayer fusion for SAR ship detection. Remote Sens., 9.","DOI":"10.3390\/rs9080860"},{"key":"ref_17","unstructured":"Tello, M., L\u00f3pez-Mart\u00ednez, C., Mallorqu\u00ed, J.J., and Greidanus, H. (2004, January 6\u201310). A novel algorithm for ship detection in ENVISAT SAR imagery based on the wavelet transform. Proceedings of the 2004 ENVISAT and ERS Symposium, Salzburg, Austria."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"568","DOI":"10.1080\/07038992.2001.10854896","article-title":"Automatic detection of ships in RADARSAT-1 SAR imagery","volume":"27","author":"Wackerman","year":"2001","journal-title":"Can. J. Remote Sens."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"3020","DOI":"10.3390\/rs70303020","article-title":"Automatic boat identification system for VIIRS low light imaging data","volume":"7","author":"Elvidge","year":"2015","journal-title":"Remote Sens."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Hsu, F.C., Elvidge, C.D., Baugh, K., Zhizhin, M., Ghosh, T., Kroodsma, D., Susanto, A., Budy, W., Riyanto, M., and Nurzeha, R. (2019). Cross-matching VIIRS boat detections with vessel monitoring system tracks in Indonesia. Remote Sens., 11.","DOI":"10.3390\/rs11090995"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.jqsrt.2018.02.014","article-title":"Light pollution offshore: Zenithal sky glow measurements in the mediterranean coastal waters","volume":"210","author":"Ges","year":"2018","journal-title":"J. Quant. Spectrosc. Radiat. Transf."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Coesfeld, J., Kuester, T., Kuechly, H.U., and Kyba, C.C.M. (2020). Reducing variability and removing natural light from nighttime satellite imagery: A case study using the VIIRS DNB. Sensors, 20.","DOI":"10.3390\/s20113287"},{"key":"ref_23","unstructured":"(2021, September 23). Marine Cadaster Anchorage Areas, Available online: https:\/\/www.marinecadastre.gov\/news\/load.php?url=posts\/anchorage-areas.html."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"7829","DOI":"10.1038\/s41598-020-64673-2","article-title":"The nature of the diffuse light near cities detected in nighttime satellite imagery","volume":"10","author":"Kyba","year":"2020","journal-title":"Sci. Rep."},{"key":"ref_25","first-page":"62","article-title":"Why VIIRS data are superior to DMSP for mapping nighttime lights","volume":"35","author":"Elvidge","year":"2013","journal-title":"Proc. Asia-Pac. Adv. Netw."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"5860","DOI":"10.1080\/01431161.2017.1342050","article-title":"VIIRS night-time lights","volume":"38","author":"Elvidge","year":"2017","journal-title":"Int. J. Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"8151","DOI":"10.1080\/01431161.2018.1482022","article-title":"Spatial and seasonal patterns of night-time lights in global ocean derived from VIIRS DNB images","volume":"39","author":"Zhao","year":"2018","journal-title":"Int. J. Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"366","DOI":"10.1016\/j.rse.2017.01.006","article-title":"A global analysis of factors controlling VIIRS nighttime light levels from densely populated areas","volume":"190","author":"Levin","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.rse.2017.06.031","article-title":"Google Earth Engine: Planetary-scale geospatial analysis for everyone","volume":"202","author":"Gorelick","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_30","unstructured":"Pesquera, M.\u00c1., and Ruiz, J.R. (1996). Sustainable Development Strategies for Cities and Ports, UNCTAD."},{"key":"ref_31","unstructured":"UNCTAD (2021, November 21). Port Call and Performance Statistics: Time Spent in Ports, Vessel Age and Size, Annual. Available online: https:\/\/unctadstat.unctad.org\/wds\/TableViewer\/tableView.aspx?ReportId=194889."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"401","DOI":"10.1080\/03088839.2010.485211","article-title":"World container port throughput follows lognormal distribution","volume":"37","author":"Ding","year":"2010","journal-title":"Marit. Policy Manag."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s41072-017-0019-5","article-title":"Liner shipping connectivity as determinant of trade","volume":"2","author":"Fugazza","year":"2017","journal-title":"J. Shipp. Trade"},{"key":"ref_34","unstructured":"UNCTAD (2016). Review of Maritime Transport 2016, UNCTAD."},{"key":"ref_35","unstructured":"(2021, August 24). GFW Global Fishing Watch | Data Download Portal. Available online: https:\/\/globalfishingwatch.org\/data-download\/datasets\/public-anchorages:v20200316."},{"key":"ref_36","unstructured":"(2021, November 23). The World Bank CO2 Emissions. Available online: https:\/\/data.worldbank.org\/indicator\/EN.ATM.CO2E.PC?view=chart."},{"key":"ref_37","unstructured":"UNCTAD (2021, November 23). Stat Annual Container Port Throughput. Available online: https:\/\/unctadstat.unctad.org\/wds\/TableViewer\/tableView.aspx?ReportId=13321."},{"key":"ref_38","unstructured":"The World Bank (2021, November 23). Electric Power Consumption (kWh per Capita). Available online: https:\/\/data.worldbank.org\/indicator\/EG.USE.ELEC.KH.PC?view=chart."},{"key":"ref_39","unstructured":"The World Bank (2021, November 23). Fossil Fuel Energy Consumption (% of Total). Available online: https:\/\/data.worldbank.org\/indicator\/EG.USE.COMM.FO.ZS?view=chart."},{"key":"ref_40","unstructured":"The World Bank (2021, November 23). GDP per Capita. Available online: https:\/\/data.worldbank.org\/indicator\/NY.GDP.MKTP.CD."},{"key":"ref_41","unstructured":"The World Bank (2021, November 23). GDP, Annual Growth. Available online: https:\/\/data.worldbank.org\/indicator\/NY.GDP.PCAP.KD.ZG?view=chart."},{"key":"ref_42","unstructured":"(2021, November 23). Trade Map Country Import. Available online: https:\/\/www.trademap.org\/Country_SelProduct_TS.aspx?nvpm=1%7C%7C%7C%7C%7CTOTAL%7C%7C%7C2%7C1%7C1%7C1%7C2%7C1%7C2%7C1%7C1%7C1."},{"key":"ref_43","unstructured":"The World Bank (2021, November 23). Population Growth (Annual %). Available online: https:\/\/data.worldbank.org\/indicator\/SP.POP.GROW."},{"key":"ref_44","unstructured":"The World Bank (2021, November 23). Country Population, Total. Available online: https:\/\/data.worldbank.org\/indicator\/SP.POP.TOTL."},{"key":"ref_45","unstructured":"Santos Port Authority (2022, February 01). Santos Port Authority Mens\u00e1rio Estat\u00edstico. Available online: http:\/\/www.portodesantos.com.br\/informacoes-operacionais\/estatisticas\/mensario-estatistico\/."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"317","DOI":"10.5194\/isprs-annals-IV-5-317-2018","article-title":"Ship Detection Using Sentinel-1 SAR Data","volume":"4","author":"Grover","year":"2018","journal-title":"Proceedings of the ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1373","DOI":"10.1080\/014311697218485","article-title":"Relation between satellite observed visible-near infrared emissions, population, economic activity and electric power consumption","volume":"18","author":"Elvidge","year":"1997","journal-title":"Int. J. Remote Sens."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"994","DOI":"10.1257\/aer.102.2.994","article-title":"Measuring economic growth from outer space","volume":"102","author":"Henderson","year":"2012","journal-title":"Am. Econ. Rev."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3390\/rs70100001","article-title":"High-resolution imagery of earth at night: New sources, opportunities and challenges","volume":"7","author":"Kyba","year":"2015","journal-title":"Remote Sens."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1890\/130281","article-title":"The nature, extent, and ecological implications of marine light pollution","volume":"12","author":"Davies","year":"2014","journal-title":"Front. Ecol. Environ."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"1357","DOI":"10.1109\/LGRS.2020.2999530","article-title":"Airport\u2019s Throughput Estimation Using Nighttime Light Data in China Mainland","volume":"18","author":"Ma","year":"2020","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"e0139779","DOI":"10.1371\/journal.pone.0139779","article-title":"Night-time light data: A good proxy measure for economic activity?","volume":"10","author":"Mellander","year":"2015","journal-title":"PLoS ONE"},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Li, H., Liu, Y., Sun, C., Dong, Y., and Zhang, S. (2021). Satellite Observation of the Marine Light-Fishing and Its Dynamics in the South China Sea. J. Mar. Sci. Eng., 9.","DOI":"10.3390\/jmse9121394"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"1169","DOI":"10.1515\/geo-2020-0180","article-title":"Explore the application of high-resolution nighttime light remote sensing images in nighttime marine ship detection: A case study of LJ1-01 data","volume":"12","author":"Zhong","year":"2020","journal-title":"Open Geosci."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"6007","DOI":"10.1080\/01431161.2017.1312034","article-title":"Port economics comprehensive scores for major cities in the Yangtze Valley, China using the DMSP-OLS night-time light imagery","volume":"38","author":"Li","year":"2017","journal-title":"Int. J. Remote Sens."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"2396","DOI":"10.1109\/JSTARS.2020.2995695","article-title":"Spatiotemporal Analysis of Venezuela\u2019s Nighttime Light during the Socioeconomic Crisis","volume":"13","author":"Zhang","year":"2020","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Lind, M., Ward, R., Bergmann, M., Haraldson, S., Zerem, A., Hoffmann, J., and Eklund, E. (2021). Maritime Informatics for Increased Collaboration. Maritime Informatics for Increased Collaboration, Springer.","DOI":"10.1007\/978-3-030-50892-0_8"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1186\/s41072-017-0020-z","article-title":"Connecting the world through global shipping networks","volume":"2","author":"Hoffmann","year":"2017","journal-title":"J. Shipp. Trade"},{"key":"ref_59","unstructured":"UNCTAD Manual on a Uniform System of Port Statitstics and Performance Indicators, UNCTAD."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1016\/j.tra.2017.09.027","article-title":"A roadmap toward airport demand and capacity management","volume":"114","author":"Jacquillat","year":"2018","journal-title":"Transp. Res. Part A Policy Pract."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"230","DOI":"10.1016\/j.trd.2019.07.007","article-title":"\u2018Swinging on the anchor\u2019: The difficulties in achieving greenhouse gas abatement in shipping via virtual arrival","volume":"73","author":"Poulsen","year":"2019","journal-title":"Transp. Res. Part D Transp. Environ."},{"key":"ref_62","unstructured":"IMO (2021). Ship-Port Interface Guide Practical Measures to Reduce GHG Emissions, International Maritime Organization."},{"key":"ref_63","first-page":"63","article-title":"Reduction of ship waiting time at port container terminal through enhancement of the tug\/pilot machine operation","volume":"68","author":"Shahpanah","year":"2014","journal-title":"J. Teknol. Sci. Eng."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"63823","DOI":"10.1109\/ACCESS.2018.2877659","article-title":"Analyzing Congestion Interdependencies of Ports and Container Ship Routes in the Maritime Network Infrastructure","volume":"6","author":"Stergiopoulos","year":"2018","journal-title":"IEEE Access"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"340","DOI":"10.1016\/j.jtrangeo.2017.10.019","article-title":"Maritime networks as systems of cities: The long-term interdependencies between global shipping flows and urban development (1890\u20132010)","volume":"66","author":"Ducruet","year":"2018","journal-title":"J. Transp. Geogr."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1186\/s41072-016-0006-2","article-title":"The changing influence of city-systems on global shipping networks: An empirical analysis","volume":"1","author":"Ducruet","year":"2016","journal-title":"J. Shipp. Trade"},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"5189","DOI":"10.5194\/acp-13-5189-2013","article-title":"High-resolution mapping of combustion processes and implications for CO2 emissions","volume":"13","author":"Wang","year":"2013","journal-title":"Atmos. Chem. Phys."},{"key":"ref_68","doi-asserted-by":"crossref","unstructured":"Coesfeld, J., Anderson, S.J., Baugh, K., Elvidge, C.D., Schernthanner, H., and Kyba, C.C.M. (2018). Variation of individual location radiance in VIIRS DNB monthly composite images. Remote Sens., 10.","DOI":"10.20944\/preprints201810.0613.v1"},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1016\/j.rse.2017.01.005","article-title":"Advances in using multitemporal night-time lights satellite imagery to detect, estimate, and monitor socioeconomic dynamics","volume":"192","author":"Bennett","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.rse.2011.05.028","article-title":"GMES Sentinel-1 mission","volume":"120","author":"Torres","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_71","doi-asserted-by":"crossref","unstructured":"Geronimo, R.C., Franklin, E.C., Brainard, R.E., Elvidge, C.D., Santos, M.D., Venegas, R., and Mora, C. (2018). Mapping fishing activities and suitable fishing grounds using nighttime satellite images and maximum entropy modelling. Remote Sens., 10.","DOI":"10.3390\/rs10101604"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"111443","DOI":"10.1016\/j.rse.2019.111443","article-title":"Remote sensing of night lights: A review and an outlook for the future","volume":"237","author":"Levin","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_73","doi-asserted-by":"crossref","unstructured":"Mills, S., Weiss, S., and Liang, C. (2013, January 23). VIIRS day\/night band (DNB) stray light characterization and correction. Proceedings of the Earth Observing Systems XVIII, San Diego, CA, USA.","DOI":"10.1117\/12.2023107"},{"key":"ref_74","doi-asserted-by":"crossref","unstructured":"Li, X., Ma, R., Zhang, Q., Li, D., Liu, S., He, T., and Zhao, L. (2019). Anisotropic characteristic of artificial light at night\u2013Systematic investigation with VIIRS DNB multi-temporal observations. Remote Sens. Environ., 233.","DOI":"10.1016\/j.rse.2019.111357"},{"key":"ref_75","doi-asserted-by":"crossref","unstructured":"Bandara, D., Woodward, M., Chin, C., and Jiang, D. (2020). Augmented reality lights for compromised visibility navigation. J. Mar. Sci. Eng., 8.","DOI":"10.3390\/jmse8121014"},{"key":"ref_76","first-page":"20","article-title":"Ship Design Rules and Regulations-An overview of major themes","volume":"2004","author":"Han","year":"2004","journal-title":"Rogue Waves Work."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1080\/23308249.2018.1496065","article-title":"Artificial Light in Commercial Industrialized Fishing Applications: A Review","volume":"27","author":"Nguyen","year":"2019","journal-title":"Rev. Fish. Sci. Aquac."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"966","DOI":"10.1016\/j.energy.2018.11.049","article-title":"Hub-and-spoke structure: Characterizing the global crude oil transport network with mass vessel trajectories","volume":"168","author":"Peng","year":"2019","journal-title":"Energy"},{"key":"ref_79","first-page":"152","article-title":"Artisanal and Small-Scale Mining Sites in the Democratic Republic of the Congo Are Not Associated with Nighttime Light Emissions","volume":"2","author":"Kyba","year":"2019","journal-title":"J."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/5\/1079\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T22:25:16Z","timestamp":1760135116000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/5\/1079"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2,22]]},"references-count":79,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2022,3]]}},"alternative-id":["rs14051079"],"URL":"https:\/\/doi.org\/10.3390\/rs14051079","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,2,22]]}}}