{"title":"Quantitative study of Heavy Metals in Taihu Lake based on MODIS images","authors":"Gong Cheng, X. Qiu, Yong Wang","doi":"10.1109/GEOINFORMATICS.2015.7378631","DOIUrl":null,"url":null,"abstract":"Some models based on (moderate resolution imaging spectrometer, MODIS) image data for estimating content of the Heavy Metal are developed by taking Taihu Lake as an experimental site in this study. Heavy Metal content measurements and MODIS images are obtained concurrently. The suitable MODIS bands and band combinations are correlated with Heavy Metal measurements. Then, using regression analysis, the semi-empirical retrieval models are developed, evaluated, and applied. This study demonstrates that MODIS images are useful in estimating Heavy Metal content in large inland lakes like Taihu Lake. The combinations of B8-B19 are suitable to detect Cu (R= 0.433) and Zn content (R= 0.529). B11-B18 are applied to estimate Pb (R= 0.670), B8-B7 are chosen to develop the retrieval model of Cd content (R= 0.640).","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 23rd International Conference on Geoinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378631","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Some models based on (moderate resolution imaging spectrometer, MODIS) image data for estimating content of the Heavy Metal are developed by taking Taihu Lake as an experimental site in this study. Heavy Metal content measurements and MODIS images are obtained concurrently. The suitable MODIS bands and band combinations are correlated with Heavy Metal measurements. Then, using regression analysis, the semi-empirical retrieval models are developed, evaluated, and applied. This study demonstrates that MODIS images are useful in estimating Heavy Metal content in large inland lakes like Taihu Lake. The combinations of B8-B19 are suitable to detect Cu (R= 0.433) and Zn content (R= 0.529). B11-B18 are applied to estimate Pb (R= 0.670), B8-B7 are chosen to develop the retrieval model of Cd content (R= 0.640).