{"title":"基于MODIS数据的太湖蓝藻群落检索","authors":"Xiuli Han, P. Cong, Yuxiao Qin, Xiaoxiang Zhu","doi":"10.1117/12.816195","DOIUrl":null,"url":null,"abstract":"In order to acquire timely and large-scale Cyanobacteria hazard information based on the analysis of a water bio-optical model (by combining spectral characteristic of Taihu Lake with MODIS data), we establish a Cyanobacteria index model using MODIS data. The Cyanobacteria hazard monitoring image in Taihu Lake is analyzed based on field measurements of Cyanobacteria particle density recorded by the Satellite Weather Center, National Weather Bureau. The results show that the Cyanobacteria index density image coincides with field measurements. It indicates the distribution and occurrence of Cyanobacteria in Taihu Lake, providing reference for hazard reduction and prevention. However, further exploration is needed regarding the optimization of model parameters and determination of threshold levels.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"348 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Retrieval of cyanobacteria in Taihu based on MODIS data\",\"authors\":\"Xiuli Han, P. Cong, Yuxiao Qin, Xiaoxiang Zhu\",\"doi\":\"10.1117/12.816195\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to acquire timely and large-scale Cyanobacteria hazard information based on the analysis of a water bio-optical model (by combining spectral characteristic of Taihu Lake with MODIS data), we establish a Cyanobacteria index model using MODIS data. The Cyanobacteria hazard monitoring image in Taihu Lake is analyzed based on field measurements of Cyanobacteria particle density recorded by the Satellite Weather Center, National Weather Bureau. The results show that the Cyanobacteria index density image coincides with field measurements. It indicates the distribution and occurrence of Cyanobacteria in Taihu Lake, providing reference for hazard reduction and prevention. However, further exploration is needed regarding the optimization of model parameters and determination of threshold levels.\",\"PeriodicalId\":340728,\"journal\":{\"name\":\"China Symposium on Remote Sensing\",\"volume\":\"348 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-11-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"China Symposium on Remote Sensing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.816195\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"China Symposium on Remote Sensing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.816195","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Retrieval of cyanobacteria in Taihu based on MODIS data
In order to acquire timely and large-scale Cyanobacteria hazard information based on the analysis of a water bio-optical model (by combining spectral characteristic of Taihu Lake with MODIS data), we establish a Cyanobacteria index model using MODIS data. The Cyanobacteria hazard monitoring image in Taihu Lake is analyzed based on field measurements of Cyanobacteria particle density recorded by the Satellite Weather Center, National Weather Bureau. The results show that the Cyanobacteria index density image coincides with field measurements. It indicates the distribution and occurrence of Cyanobacteria in Taihu Lake, providing reference for hazard reduction and prevention. However, further exploration is needed regarding the optimization of model parameters and determination of threshold levels.