YIC-IR
A simple method for estimating macroalgae area under clouds on MODIS imagery
An, Deyu1,2,3; Xing, Qianguo2,3,4; Yu, Dingfeng1; Pan, Shunqi5
发表期刊FRONTIERS IN MARINE SCIENCE
2022-08-18
卷号9页码:10
关键词macroalgae blooms MODIS imagery clouds method of estimating macroalgae area multi-sensor images
DOI10.3389/fmars.2022.995731
通讯作者Yu, Dingfeng([email protected])
英文摘要The presence of clouds interferes with optical remote sensing monitoring of macroalgae blooms. To solve this problem, we propose a simple method for estimating macroalgae area under clouds (Area(_cloud_GT)) on MODIS imagery using the principle behind the lowpass filter. The method is based on a rectangle with clouds and eight identical adjacent rectangles surrounding it that contain macroalgae. The cloud rectangle is a central 'pixel' (Cloud) and the eight adjacent rectangles are 'pixels' GT1-GT8. The core operation is to calculate the central 'pixel' value, i.e., the macroalgae coverage rate in the Cloud rectangle. The macroalgae area detected by semi-simultaneous fine resolution images in the same region was taken as the 'real' value. A comparison of the estimation results and the 'real' value shown that the mean relative difference between them (MRD) was 30.09% when the time interval of the images within 10 minutes. When the time interval was over 3 hours, the MRD was more than 60%. The MRD increased significantly with increasing time interval because of the constant movement of the macroalgae and the limitations of the remote sensing image. The results indicate that this simple method is effective to a certain extent. These results can provide a reference for the quantitative analysis of green tide.
资助机构Chinese Academy of Science Strategic Priority Research Program-the Big Earth Data Science Engineering Project ; National Natural Science Foundation of China ; National Key Research and Development Program of China ; Natural Science Foundation of Shandong Province ; Key Research and Development Program of Shandong ; State Key Laboratory of Tropical Oceanography, South China Institute of Oceanology, Chinese Academy of Sciences ; Project plan of pilot project of integration of science, education and Industry ; Foundation of Institute of Oceanographic Instrumentation, Shandong Academy of Sciences ; University-Industry Collaborative Education Program
收录类别SCI
语种英语
关键词[WOS]ULVA-PROLIFERA BLOOMS ; YELLOW SEA ; GREEN TIDE ; INTERANNUAL VARIABILITY ; COVERAGE ; GOCI
研究领域[WOS]Environmental Sciences & Ecology ; Marine & Freshwater Biology
WOS记录号WOS:000872529800001
引用统计
被引频次:5[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.yic.ac.cn/handle/133337/31958
专题中国科学院烟台海岸带研究所
通讯作者Yu, Dingfeng
作者单位1.Qilu Univ Techonol, Inst Oceanog Instrumentat, Shandong Acad Sci, Qingdao, Peoples R China
2.Chinese Acad Sci, Yantai Inst Coastal Zone Res, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Yantai, Peoples R China
3.Univ Chinese Acad Sci, Beijing, Peoples R China
4.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao, Peoples R China
5.Cardiff Univ, Hydroenvironm Res Ctr, Sch Engn, Cardiff, Wales
推荐引用方式
GB/T 7714
An, Deyu,Xing, Qianguo,Yu, Dingfeng,et al. A simple method for estimating macroalgae area under clouds on MODIS imagery[J]. FRONTIERS IN MARINE SCIENCE,2022,9:10.
APA An, Deyu,Xing, Qianguo,Yu, Dingfeng,&Pan, Shunqi.(2022).A simple method for estimating macroalgae area under clouds on MODIS imagery.FRONTIERS IN MARINE SCIENCE,9,10.
MLA An, Deyu,et al."A simple method for estimating macroalgae area under clouds on MODIS imagery".FRONTIERS IN MARINE SCIENCE 9(2022):10.
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