{"title":"基于SSM/I数据的云南思茅地区微波发射率稳定性分析","authors":"You Ran, Yang Hu, LU Nai-meng","doi":"10.11834/jrs.20090510","DOIUrl":null,"url":null,"abstract":": The Microwave Temperature Sounder, the Microwave Humidity Sounder and the Microwave Radiation Imager were flown on the new-generation polar satellite FY-3A in China. The microwave sensors’ calibration after launch is a critical problem. Using the SSM/I data, and the surface and raob observations, the stability of microwave emissivity in Simao Yunnan is analyzed based on the microwave modeling in this article. The results show that its vegetation situation is very good, and the surface microwave emissivity is stable. The surface microwave emissivity has weak season-to-season variation in law of sines ( the changing range is less than 0.02 ). It also has very small year-to-year difference, which can be corrected by modeling based on the surface and raob observations.","PeriodicalId":217329,"journal":{"name":"National Remote Sensing Bulletin","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Stability analysis of microwave emissivity in Simao Yunnan using SSM/I data\",\"authors\":\"You Ran, Yang Hu, LU Nai-meng\",\"doi\":\"10.11834/jrs.20090510\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": The Microwave Temperature Sounder, the Microwave Humidity Sounder and the Microwave Radiation Imager were flown on the new-generation polar satellite FY-3A in China. The microwave sensors’ calibration after launch is a critical problem. Using the SSM/I data, and the surface and raob observations, the stability of microwave emissivity in Simao Yunnan is analyzed based on the microwave modeling in this article. The results show that its vegetation situation is very good, and the surface microwave emissivity is stable. The surface microwave emissivity has weak season-to-season variation in law of sines ( the changing range is less than 0.02 ). It also has very small year-to-year difference, which can be corrected by modeling based on the surface and raob observations.\",\"PeriodicalId\":217329,\"journal\":{\"name\":\"National Remote Sensing Bulletin\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"National Remote Sensing Bulletin\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.11834/jrs.20090510\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"National Remote Sensing Bulletin","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11834/jrs.20090510","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Stability analysis of microwave emissivity in Simao Yunnan using SSM/I data
: The Microwave Temperature Sounder, the Microwave Humidity Sounder and the Microwave Radiation Imager were flown on the new-generation polar satellite FY-3A in China. The microwave sensors’ calibration after launch is a critical problem. Using the SSM/I data, and the surface and raob observations, the stability of microwave emissivity in Simao Yunnan is analyzed based on the microwave modeling in this article. The results show that its vegetation situation is very good, and the surface microwave emissivity is stable. The surface microwave emissivity has weak season-to-season variation in law of sines ( the changing range is less than 0.02 ). It also has very small year-to-year difference, which can be corrected by modeling based on the surface and raob observations.