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China","doi-asserted-by":"publisher","award":["42130405"],"award-info":[{"award-number":["42130405"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2021YFC3101702"],"award-info":[{"award-number":["2021YFC3101702"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This paper proposes a semi-automatic green tide extraction method based on the NDVI to extract Yellow Sea green tides from 2008 to 2022 using remote sensing (RS) images from multiple satellites: GF-1, Landsat 5 TM, Landsat 8 OLI_TIRS, HJ-1A\/B, HY-1C, and MODIS. The results of the accuracy assessment based on three indicators: Precision, Recall, and F1-score, showed that our extraction method can be applied to the images of most satellites and different environments. We traced the source of the Yellow Sea green tide to Jiangsu Subei shoal and the southeastern Yellow Sea and earliest advanced the tracing time to early April. The Gompertz and Logistic growth curve models were selected to predict and monitor the extent and duration of the Yellow Sea green tide, and uncertainty for the predicted growth curve was estimated. The prediction for 2022 was that its start and dissipation dates were expected to be June 1 and August 15, respectively, and the accumulative cover area was expected to be approximately 1190.90\u20131191.21 km2.<\/jats:p>","DOI":"10.3390\/rs15082196","type":"journal-article","created":{"date-parts":[[2023,4,21]],"date-time":"2023-04-21T04:48:11Z","timestamp":1682052491000},"page":"2196","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Monitoring and Forecasting Green Tide in the Yellow Sea Using Satellite Imagery"],"prefix":"10.3390","volume":"15","author":[{"given":"Shuwen","family":"Xu","sequence":"first","affiliation":[{"name":"Donghai Laboratory, Zhoushan 316021, China"},{"name":"College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3746-0361","authenticated-orcid":false,"given":"Tan","family":"Yu","sequence":"additional","affiliation":[{"name":"Donghai Laboratory, Zhoushan 316021, China"},{"name":"College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China"},{"name":"Key Laboratory of Marine Ecological Monitoring and Restoration Technologies (MNR), Shanghai 201206, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinmeng","family":"Xu","sequence":"additional","affiliation":[{"name":"College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xishan","family":"Pan","sequence":"additional","affiliation":[{"name":"Tidal Flat Research Center of State Oceanic Administration, Nanjing 210036, China"},{"name":"The Key Laboratory of Port, Waterway and Sedimentation Engineering of the Ministry of Transport, Nanjing 210029, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3693-6217","authenticated-orcid":false,"given":"Weizeng","family":"Shao","sequence":"additional","affiliation":[{"name":"College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China"},{"name":"Key Laboratory of Marine Ecological Monitoring and Restoration Technologies (MNR), Shanghai 201206, China"},{"name":"National Satellite Ocean Application Service, Ministry of Natural Resources, Beijing 100081, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Juncheng","family":"Zuo","sequence":"additional","affiliation":[{"name":"College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China"},{"name":"Key Laboratory of Marine Ecological Monitoring and Restoration Technologies (MNR), Shanghai 201206, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Marine Sciences and Biology, Qingdao University of Science and Technology, Qingdao 266042, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,4,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1016\/j.ecss.2013.05.021","article-title":"The world\u2019s largest macroalgal bloom in the Yellow Sea, China: Formation and implications","volume":"129","author":"Liu","year":"2013","journal-title":"Estuar. 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