{"title":"Ground validation and uncertainty esitmation of VIIRS land surface temperature product","authors":"Yuling Liu, Yunyue Yu, YU Peng, Heshun Wang","doi":"10.1109/IGARSS.2016.7730806","DOIUrl":null,"url":null,"abstract":"This study compares VIIRS LST with ground in-situ observations from Baseline Surface Radiation Network (BSRN) and Global Monitoring Division (GMD) baseline observatories. The validation results present a close agreement between satellite estimation and ground observations with the accuracy about -0.4 K and -0.7 K, precision of 2.1 and 1.8 over BSRN CAB site and GOB site, respectively. A precision of 2.2 is obtained over Summit station in Greenland. Cloud contamination and ground heterogeneity are found to have great impact on the product performance. In addition, a statistical method is applied to estimate LST uncertainty attributed to the sensor noise, surface type product imprecision and algorithm itself. The overall theoretical LST uncertainty is about 0.7 K.","PeriodicalId":179622,"journal":{"name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IGARSS.2016.7730806","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
This study compares VIIRS LST with ground in-situ observations from Baseline Surface Radiation Network (BSRN) and Global Monitoring Division (GMD) baseline observatories. The validation results present a close agreement between satellite estimation and ground observations with the accuracy about -0.4 K and -0.7 K, precision of 2.1 and 1.8 over BSRN CAB site and GOB site, respectively. A precision of 2.2 is obtained over Summit station in Greenland. Cloud contamination and ground heterogeneity are found to have great impact on the product performance. In addition, a statistical method is applied to estimate LST uncertainty attributed to the sensor noise, surface type product imprecision and algorithm itself. The overall theoretical LST uncertainty is about 0.7 K.
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