Effects of Spatial Resolution on the Satellite Observation of Floating Macroalgae Blooms
Satellite images with different spatial resolutions are widely used in the observations of floating macroalgae booms in sea surface. In this study, semi-synchronous satellite images with different resolutions (10 m, 16 m, 30 m, 50 m, 100 m, 250 m and 500 m) acquired over the Yellow Sea, are used to...
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MDPI AG
2021-06-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/13/13/1761 |
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| author | Xinhua Wang Qianguo Xing Deyu An Ling Meng Xiangyang Zheng Bo Jiang Hailong Liu |
| author_facet | Xinhua Wang Qianguo Xing Deyu An Ling Meng Xiangyang Zheng Bo Jiang Hailong Liu |
| author_sort | Xinhua Wang |
| collection | DOAJ |
| description | Satellite images with different spatial resolutions are widely used in the observations of floating macroalgae booms in sea surface. In this study, semi-synchronous satellite images with different resolutions (10 m, 16 m, 30 m, 50 m, 100 m, 250 m and 500 m) acquired over the Yellow Sea, are used to quantitatively assess the effects of spatial resolution on the observation of floating macroalgae blooms of <i>Ulva prolifera</i>. Results indicate that the covering area of macroalgae-mixing pixels (MM-CA) detected from high resolution images is smaller than that from low resolution images; however, the area affected by macroalgae blooms (AA) is larger in high resolution images than in low resolution ones. The omission rates in the MM-CA and the AA increase with the decrease of spatial resolution. These results indicate that satellite remote sensing on the basis of low resolution images (especially, 100 m, 250 m, 500 m), would overestimate the covering area of macroalgae while omit the small patches in the affected zones. To reduce the impacts of overestimation and omission, high resolution satellite images are used to show the seasonal changes of macroalgae blooms in 2018 and 2019 in the Yellow Sea. |
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| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-10T10:02:57Z |
| publishDate | 2021-06-01 |
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| series | Water |
| spelling | doaj.art-bd1e0df501a64a118b51b3a6521f43352023-11-22T01:46:53ZengMDPI AGWater2073-44412021-06-011313176110.3390/w13131761Effects of Spatial Resolution on the Satellite Observation of Floating Macroalgae BloomsXinhua Wang0Qianguo Xing1Deyu An2Ling Meng3Xiangyang Zheng4Bo Jiang5Hailong Liu6CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, ChinaCAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, ChinaInstitute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), Qingdao 266100, ChinaCAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, ChinaCAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, ChinaCAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, ChinaCAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, ChinaSatellite images with different spatial resolutions are widely used in the observations of floating macroalgae booms in sea surface. In this study, semi-synchronous satellite images with different resolutions (10 m, 16 m, 30 m, 50 m, 100 m, 250 m and 500 m) acquired over the Yellow Sea, are used to quantitatively assess the effects of spatial resolution on the observation of floating macroalgae blooms of <i>Ulva prolifera</i>. Results indicate that the covering area of macroalgae-mixing pixels (MM-CA) detected from high resolution images is smaller than that from low resolution images; however, the area affected by macroalgae blooms (AA) is larger in high resolution images than in low resolution ones. The omission rates in the MM-CA and the AA increase with the decrease of spatial resolution. These results indicate that satellite remote sensing on the basis of low resolution images (especially, 100 m, 250 m, 500 m), would overestimate the covering area of macroalgae while omit the small patches in the affected zones. To reduce the impacts of overestimation and omission, high resolution satellite images are used to show the seasonal changes of macroalgae blooms in 2018 and 2019 in the Yellow Sea.https://www.mdpi.com/2073-4441/13/13/1761floating macroalgae of <i>Ulva prolifera</i>seasonal changesmacroalgae coverageomission ratesatellite imagesspatial resolution |
| spellingShingle | Xinhua Wang Qianguo Xing Deyu An Ling Meng Xiangyang Zheng Bo Jiang Hailong Liu Effects of Spatial Resolution on the Satellite Observation of Floating Macroalgae Blooms Water floating macroalgae of <i>Ulva prolifera</i> seasonal changes macroalgae coverage omission rate satellite images spatial resolution |
| title | Effects of Spatial Resolution on the Satellite Observation of Floating Macroalgae Blooms |
| title_full | Effects of Spatial Resolution on the Satellite Observation of Floating Macroalgae Blooms |
| title_fullStr | Effects of Spatial Resolution on the Satellite Observation of Floating Macroalgae Blooms |
| title_full_unstemmed | Effects of Spatial Resolution on the Satellite Observation of Floating Macroalgae Blooms |
| title_short | Effects of Spatial Resolution on the Satellite Observation of Floating Macroalgae Blooms |
| title_sort | effects of spatial resolution on the satellite observation of floating macroalgae blooms |
| topic | floating macroalgae of <i>Ulva prolifera</i> seasonal changes macroalgae coverage omission rate satellite images spatial resolution |
| url | https://www.mdpi.com/2073-4441/13/13/1761 |
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