{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T19:30:23Z","timestamp":1784057423036,"version":"3.55.0"},"reference-count":47,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2022,4,29]],"date-time":"2022-04-29T00:00:00Z","timestamp":1651190400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"China Agriculture Research System","award":["CARS-50"],"award-info":[{"award-number":["CARS-50"]}]},{"name":"China Agriculture Research System","award":["MEMRT202113"],"award-info":[{"award-number":["MEMRT202113"]}]},{"name":"China Agriculture Research System","award":["41876191"],"award-info":[{"award-number":["41876191"]}]},{"name":"Key Laboratory of Marine Ecological Monitoring and Restoration Technologies, MNR","award":["CARS-50"],"award-info":[{"award-number":["CARS-50"]}]},{"name":"Key Laboratory of Marine Ecological Monitoring and Restoration Technologies, MNR","award":["MEMRT202113"],"award-info":[{"award-number":["MEMRT202113"]}]},{"name":"Key Laboratory of Marine Ecological Monitoring and Restoration Technologies, MNR","award":["41876191"],"award-info":[{"award-number":["41876191"]}]},{"name":"National Natural Science Foundation of China","award":["CARS-50"],"award-info":[{"award-number":["CARS-50"]}]},{"name":"National Natural Science Foundation of China","award":["MEMRT202113"],"award-info":[{"award-number":["MEMRT202113"]}]},{"name":"National Natural Science Foundation of China","award":["41876191"],"award-info":[{"award-number":["41876191"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>UAV remote sensing inversion is an efficient and accurate method for obtaining information on vegetation coverage, biomass and other parameters. It is widely used on forest, grassland and other terrestrial vegetation. However, it is rarely used on aquatic vegetation, especially in intertidal zones and other complex environments. Additionally, it is mainly used for inversion of coverage, and there have been few studies thus far on biomass assessment. In this paper, we applied multispectral UAV aerial photography data to evaluate the biomass of seaweed in an intertidal zone. During the ebb tide, UAV aerial photography and in situ sampling data were collected in the study area. After optimizing the spectral index and performing a multiple linearity test, the spectral parameters were selected as the input of the evaluation model. Combined with two machine learning algorithms, namely random forest (RF) and gradient boosting decision tree (GBDT), the biomasses of three species of seaweed (Ulva pertusa, Sargassum thunbergii and Sargassum fusiforme) in the intertidal zone were assessed. In addition, the input parameters of the machine learning algorithms were optimized by one-way ANOVA and Pearson\u2019s correlation analysis. We propose a method to assess the biomass of intertidal seaweed based on multispectral UAV data combined with statistics and machine learning. The results show that the two machine learning algorithms have different accuracies in terms of biomass evaluation using multispectral images; the gradient boosting decision tree can evaluate the biomass of seaweed in the intertidal zone more accurately.<\/jats:p>","DOI":"10.3390\/rs14092143","type":"journal-article","created":{"date-parts":[[2022,5,2]],"date-time":"2022-05-02T07:08:58Z","timestamp":1651475338000},"page":"2143","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Estimation of Seaweed Biomass Based on Multispectral UAV in the Intertidal Zone of Gouqi Island"],"prefix":"10.3390","volume":"14","author":[{"given":"Jianqu","family":"Chen","sequence":"first","affiliation":[{"name":"College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai 201306, China"},{"name":"Engineering Technology Research Center of Marine Ranching, Shanghai Ocean University, Shanghai 201306, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xunmeng","family":"Li","sequence":"additional","affiliation":[{"name":"College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai 201306, China"},{"name":"Engineering Technology Research Center of Marine Ranching, Shanghai Ocean University, Shanghai 201306, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kai","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai 201306, China"},{"name":"Engineering Technology Research Center of Marine Ranching, Shanghai Ocean University, Shanghai 201306, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shouyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai 201306, China"},{"name":"Engineering Technology Research Center of Marine Ranching, Shanghai Ocean University, Shanghai 201306, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Marine Ecological Monitoring and Restoration Technologies, MNR, East China Sea Environmental Monitoring Center, Shanghai 201206, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,4,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1909","DOI":"10.2355\/isijinternational.52.1909","article-title":"The effect of humic substances on iron elution in the method of restoration of seaweed beds using steelmaking slag","volume":"52","author":"Yamamoto","year":"2012","journal-title":"ISIJ Int."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"141","DOI":"10.3354\/meps11554","article-title":"Large-scale degradation of a kelp ecosystem in an ocean warming hotspot","volume":"543","author":"Fiblee","year":"2016","journal-title":"Mar. 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