{"title":"基于MODIS数据的煤矿区植被叶绿素反演","authors":"L. Cheng, Lin Sun","doi":"10.1109/ICISE.2010.5690543","DOIUrl":null,"url":null,"abstract":"Vegetation indices of NDVI, VIgreen, VARI, EVI were used to establish the one-dimensional linear inversion model combing with field vegetation canopy reflectance and canopy chlorophyll content. By comparison of the results, the model accuracy of NDVI is much higher. But the model established by the 4 indexes has the highest accuracy with the correlation coefficient of 0.503 and root mean square error of 0.3969mg/g. There is a good linear relationship between model predicted chlorophyll value and measured value, the coefficient of determination is 0.546. Surface reflectance products of MOD09A1 (Year 2009) is used to get chlorophyll spatial distribution and to analyze the regional and seasonal characteristics of chlorophyll variation.","PeriodicalId":206435,"journal":{"name":"The 2nd International Conference on Information Science and Engineering","volume":"254 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Vegetation chlorophyll inversion of coal mining area based on MODIS data\",\"authors\":\"L. Cheng, Lin Sun\",\"doi\":\"10.1109/ICISE.2010.5690543\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Vegetation indices of NDVI, VIgreen, VARI, EVI were used to establish the one-dimensional linear inversion model combing with field vegetation canopy reflectance and canopy chlorophyll content. By comparison of the results, the model accuracy of NDVI is much higher. But the model established by the 4 indexes has the highest accuracy with the correlation coefficient of 0.503 and root mean square error of 0.3969mg/g. There is a good linear relationship between model predicted chlorophyll value and measured value, the coefficient of determination is 0.546. Surface reflectance products of MOD09A1 (Year 2009) is used to get chlorophyll spatial distribution and to analyze the regional and seasonal characteristics of chlorophyll variation.\",\"PeriodicalId\":206435,\"journal\":{\"name\":\"The 2nd International Conference on Information Science and Engineering\",\"volume\":\"254 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 2nd International Conference on Information Science and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICISE.2010.5690543\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 2nd International Conference on Information Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISE.2010.5690543","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Vegetation chlorophyll inversion of coal mining area based on MODIS data
Vegetation indices of NDVI, VIgreen, VARI, EVI were used to establish the one-dimensional linear inversion model combing with field vegetation canopy reflectance and canopy chlorophyll content. By comparison of the results, the model accuracy of NDVI is much higher. But the model established by the 4 indexes has the highest accuracy with the correlation coefficient of 0.503 and root mean square error of 0.3969mg/g. There is a good linear relationship between model predicted chlorophyll value and measured value, the coefficient of determination is 0.546. Surface reflectance products of MOD09A1 (Year 2009) is used to get chlorophyll spatial distribution and to analyze the regional and seasonal characteristics of chlorophyll variation.