A simple method for estimating macroalgae area under clouds on MODIS imagery

doi:10.3389/fmars.2022.995731

	A simple method for estimating macroalgae area under clouds on MODIS imagery
	An, Deyu 3,4,5; Xing, Qianguo 2,3,4; Yu, Dingfeng 5; Pan, Shunqi 1
刊名	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
DOI	10.3389/fmars.2022.995731
通讯作者	Yu, Dingfeng(dfyu@qlu.edu.cn)
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.
WOS关键词	ULVA-PROLIFERA BLOOMS ; YELLOW SEA ; GREEN TIDE ; INTERANNUAL VARIABILITY ; COVERAGE ; GOCI
WOS研究方向	Environmental Sciences & Ecology ; Marine & Freshwater Biology
语种	英语
WOS记录号	WOS:000872529800001
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
内容类型	期刊论文
源URL	[http://ir.yic.ac.cn/handle/133337/31957]
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.Cardiff Univ, Hydroenvironm Res Ctr, Sch Engn, Cardiff, Wales 2.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China 4.Chinese Acad Sci, Yantai Inst Coastal Zone Res, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Yantai, Peoples R China 5.Qilu Univ Techonol, Inst Oceanog Instrumentat, Shandong Acad Sci, Qingdao, Peoples R China
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.