{"title":"利用IGBP发现和GLC2000产品比较GLCNMO针叶落叶林和针叶常绿林","authors":"G. Tana, H. Letu, B. Erdenee, R. Tateishi","doi":"10.1109/IGARSS.2010.5651660","DOIUrl":null,"url":null,"abstract":"The Global Land Cover by National Mapping Organizations (GLCNMO) is the product of the Global Mapping Project organized by International Steering Committee for Global Mapping (ISCGM). The GLCNMO is a global 1km land cover data set produced by 16-day composite MODIS data observed in 2003. The accuracy assessment of the map has been completed by a stratified random sampling method. The overall accuracy is 76.5%. The accuracy assessment result also shows that the needleleaf evergreen forest and the needleleaf deciduous forest were misclassified into each other. With this problem in mind, Needleleaf evergreen forest and Needleleaf deciduous forest in the GLCNMO were selected for reclassification. In the new classification process, the NDVI patterns were used. Finally, the needleleaf evergreen forest and the needleleaf deciduous forest in the GLCNMO were compared with the same land cover types in other two global land cover products IGBP DISCover and GLC2000 from total pixel number, per-pixel and the ground truth data points of view.","PeriodicalId":406785,"journal":{"name":"2010 IEEE International Geoscience and Remote Sensing Symposium","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparison of needleleaf deciduous forest and needleleaf evergreen forest in the GLCNMO with IGBP discover and GLC2000 product\",\"authors\":\"G. Tana, H. Letu, B. Erdenee, R. Tateishi\",\"doi\":\"10.1109/IGARSS.2010.5651660\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Global Land Cover by National Mapping Organizations (GLCNMO) is the product of the Global Mapping Project organized by International Steering Committee for Global Mapping (ISCGM). The GLCNMO is a global 1km land cover data set produced by 16-day composite MODIS data observed in 2003. The accuracy assessment of the map has been completed by a stratified random sampling method. The overall accuracy is 76.5%. The accuracy assessment result also shows that the needleleaf evergreen forest and the needleleaf deciduous forest were misclassified into each other. With this problem in mind, Needleleaf evergreen forest and Needleleaf deciduous forest in the GLCNMO were selected for reclassification. In the new classification process, the NDVI patterns were used. Finally, the needleleaf evergreen forest and the needleleaf deciduous forest in the GLCNMO were compared with the same land cover types in other two global land cover products IGBP DISCover and GLC2000 from total pixel number, per-pixel and the ground truth data points of view.\",\"PeriodicalId\":406785,\"journal\":{\"name\":\"2010 IEEE International Geoscience and Remote Sensing Symposium\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE International Geoscience and Remote Sensing Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IGARSS.2010.5651660\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Geoscience and Remote Sensing Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IGARSS.2010.5651660","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparison of needleleaf deciduous forest and needleleaf evergreen forest in the GLCNMO with IGBP discover and GLC2000 product
The Global Land Cover by National Mapping Organizations (GLCNMO) is the product of the Global Mapping Project organized by International Steering Committee for Global Mapping (ISCGM). The GLCNMO is a global 1km land cover data set produced by 16-day composite MODIS data observed in 2003. The accuracy assessment of the map has been completed by a stratified random sampling method. The overall accuracy is 76.5%. The accuracy assessment result also shows that the needleleaf evergreen forest and the needleleaf deciduous forest were misclassified into each other. With this problem in mind, Needleleaf evergreen forest and Needleleaf deciduous forest in the GLCNMO were selected for reclassification. In the new classification process, the NDVI patterns were used. Finally, the needleleaf evergreen forest and the needleleaf deciduous forest in the GLCNMO were compared with the same land cover types in other two global land cover products IGBP DISCover and GLC2000 from total pixel number, per-pixel and the ground truth data points of view.