The Detection of Green Tide Biomass by Remote Sensing Images and In Situ Measurement in the Yellow Sea of China
The world’s largest macroalgae bloom (also known as green tide) has been reported since the 29th Olympic Games in 2008, which is verified as the fast reproduction of floating green macroalgae (<i>Ulva prolifera</i>). It is helpful to assess the biomass of macroalgae for the government of...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/14/3625 |
| _version_ | 1797587594952835072 |
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| author | Wei Tian Juan Wang Fengli Zhang Xudong Liu Jian Yang Junna Yuan Xiaofei Mi Yun Shao |
| author_facet | Wei Tian Juan Wang Fengli Zhang Xudong Liu Jian Yang Junna Yuan Xiaofei Mi Yun Shao |
| author_sort | Wei Tian |
| collection | DOAJ |
| description | The world’s largest macroalgae bloom (also known as green tide) has been reported since the 29th Olympic Games in 2008, which is verified as the fast reproduction of floating green macroalgae (<i>Ulva prolifera</i>). It is helpful to assess the biomass of macroalgae for the government of marine environment protection. In this study, the synchronization cruise experiment was firstly introduced, which aimed to investigate the biomass evaluation of <i>Ulva prolifera</i> in the Yellow Sea of China. The Floating Algae Index by Polarimetric SAR image (FAIPS) was then proposed. Finally, the floating algae biomass evaluation model was demonstrated and verified, which showed an exponential relationship between FAIPS and wet biomass per area (kg/m<sup>2</sup>) of macroalgae. The model proposed in this paper can be used in the biomass assessment of floating algae in the presence of polarimetric SAR images, regardless of daylight and cloud coverage over the sea surface. |
| first_indexed | 2024-03-11T00:41:08Z |
| format | Article |
| id | doaj.art-864a5313f66a45d1820fe2bf85378dcb |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T00:41:08Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-864a5313f66a45d1820fe2bf85378dcb2023-11-18T21:13:25ZengMDPI AGRemote Sensing2072-42922023-07-011514362510.3390/rs15143625The Detection of Green Tide Biomass by Remote Sensing Images and In Situ Measurement in the Yellow Sea of ChinaWei Tian0Juan Wang1Fengli Zhang2Xudong Liu3Jian Yang4Junna Yuan5Xiaofei Mi6Yun Shao7Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaNorth China Sea Ecological Center of the Ministry of Natural Resources, Qingdao 266000, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaNorth China Sea Ecological Center of the Ministry of Natural Resources, Qingdao 266000, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaThe world’s largest macroalgae bloom (also known as green tide) has been reported since the 29th Olympic Games in 2008, which is verified as the fast reproduction of floating green macroalgae (<i>Ulva prolifera</i>). It is helpful to assess the biomass of macroalgae for the government of marine environment protection. In this study, the synchronization cruise experiment was firstly introduced, which aimed to investigate the biomass evaluation of <i>Ulva prolifera</i> in the Yellow Sea of China. The Floating Algae Index by Polarimetric SAR image (FAIPS) was then proposed. Finally, the floating algae biomass evaluation model was demonstrated and verified, which showed an exponential relationship between FAIPS and wet biomass per area (kg/m<sup>2</sup>) of macroalgae. The model proposed in this paper can be used in the biomass assessment of floating algae in the presence of polarimetric SAR images, regardless of daylight and cloud coverage over the sea surface.https://www.mdpi.com/2072-4292/15/14/3625biomass<i>Ulva prolifera</i>green algaepolarimetric SARin situYellow Sea |
| spellingShingle | Wei Tian Juan Wang Fengli Zhang Xudong Liu Jian Yang Junna Yuan Xiaofei Mi Yun Shao The Detection of Green Tide Biomass by Remote Sensing Images and In Situ Measurement in the Yellow Sea of China Remote Sensing biomass <i>Ulva prolifera</i> green algae polarimetric SAR in situ Yellow Sea |
| title | The Detection of Green Tide Biomass by Remote Sensing Images and In Situ Measurement in the Yellow Sea of China |
| title_full | The Detection of Green Tide Biomass by Remote Sensing Images and In Situ Measurement in the Yellow Sea of China |
| title_fullStr | The Detection of Green Tide Biomass by Remote Sensing Images and In Situ Measurement in the Yellow Sea of China |
| title_full_unstemmed | The Detection of Green Tide Biomass by Remote Sensing Images and In Situ Measurement in the Yellow Sea of China |
| title_short | The Detection of Green Tide Biomass by Remote Sensing Images and In Situ Measurement in the Yellow Sea of China |
| title_sort | detection of green tide biomass by remote sensing images and in situ measurement in the yellow sea of china |
| topic | biomass <i>Ulva prolifera</i> green algae polarimetric SAR in situ Yellow Sea |
| url | https://www.mdpi.com/2072-4292/15/14/3625 |
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