{"title":"TROPOMI SIF 产品的验证,提高了原位测量与卫星测量之间的地理定位匹配度","authors":"Qicheng Zeng, Xiaodan Wu, Rongqi Tang, Jing Pei, Xianglei Du, Fei Pan, Jianguang Wen, Qing Xiao","doi":"10.1029/2024JG008235","DOIUrl":null,"url":null,"abstract":"<p>Direct comparison with in situ measurements serves as the primary method for validating TROPOMI SIF products. However, due to geometric errors in satellite data, the exact spatial extent of the nominal validation pixel may not align with the in situ site perfectly. In addressing this challenge, this study proposed, for the first time, a method to precisely identify the validation pixels matching with in situ sites. Moreover, the accuracy of the TROPOMI SIF product was reevaluated with the improved geolocation match method between the satellite pixel and the corresponding in situ site. The results indicate that ignoring the geometric errors of TROPOMI pixels can result in a 49% probability of mismatch between the validation pixel and the in situ site. The errors caused by geolocation mismatch mainly come from two aspects. One is the incorrect extraction of the validation pixel, with a maximum error of 1.385 mWm<sup>−2</sup> sr<sup>−1</sup> nm<sup>−1</sup>. The other is the pixel-scale reference “truth,” which resulted from the improper upscaling function of in situ measurements, and the maximum of this kind of error was 0.445 mWm<sup>−2</sup> sr<sup>−1 </sup>nm<sup>−1</sup>. With this improved geolocation match method, the TROPOMI SIF product showed a RMSE of 0.58 mWm<sup>−2</sup> sr<sup>−1 </sup>nm<sup>−1</sup>, a bias of 0.19 mWm<sup>−2</sup> sr<sup>−1 </sup>nm<sup>−1</sup>, and a <i>R</i><sup>2</sup> of 0.51, which indicate a better performance than without considering geometric location matching errors.</p>","PeriodicalId":16003,"journal":{"name":"Journal of Geophysical Research: Biogeosciences","volume":"129 11","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2024-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Validation of TROPOMI SIF Products With Improved Geolocation Match Between In Situ and Satellite Measurements\",\"authors\":\"Qicheng Zeng, Xiaodan Wu, Rongqi Tang, Jing Pei, Xianglei Du, Fei Pan, Jianguang Wen, Qing Xiao\",\"doi\":\"10.1029/2024JG008235\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Direct comparison with in situ measurements serves as the primary method for validating TROPOMI SIF products. However, due to geometric errors in satellite data, the exact spatial extent of the nominal validation pixel may not align with the in situ site perfectly. In addressing this challenge, this study proposed, for the first time, a method to precisely identify the validation pixels matching with in situ sites. Moreover, the accuracy of the TROPOMI SIF product was reevaluated with the improved geolocation match method between the satellite pixel and the corresponding in situ site. The results indicate that ignoring the geometric errors of TROPOMI pixels can result in a 49% probability of mismatch between the validation pixel and the in situ site. The errors caused by geolocation mismatch mainly come from two aspects. One is the incorrect extraction of the validation pixel, with a maximum error of 1.385 mWm<sup>−2</sup> sr<sup>−1</sup> nm<sup>−1</sup>. The other is the pixel-scale reference “truth,” which resulted from the improper upscaling function of in situ measurements, and the maximum of this kind of error was 0.445 mWm<sup>−2</sup> sr<sup>−1 </sup>nm<sup>−1</sup>. With this improved geolocation match method, the TROPOMI SIF product showed a RMSE of 0.58 mWm<sup>−2</sup> sr<sup>−1 </sup>nm<sup>−1</sup>, a bias of 0.19 mWm<sup>−2</sup> sr<sup>−1 </sup>nm<sup>−1</sup>, and a <i>R</i><sup>2</sup> of 0.51, which indicate a better performance than without considering geometric location matching errors.</p>\",\"PeriodicalId\":16003,\"journal\":{\"name\":\"Journal of Geophysical Research: Biogeosciences\",\"volume\":\"129 11\",\"pages\":\"\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2024-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Geophysical Research: Biogeosciences\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1029/2024JG008235\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Geophysical Research: Biogeosciences","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1029/2024JG008235","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Validation of TROPOMI SIF Products With Improved Geolocation Match Between In Situ and Satellite Measurements
Direct comparison with in situ measurements serves as the primary method for validating TROPOMI SIF products. However, due to geometric errors in satellite data, the exact spatial extent of the nominal validation pixel may not align with the in situ site perfectly. In addressing this challenge, this study proposed, for the first time, a method to precisely identify the validation pixels matching with in situ sites. Moreover, the accuracy of the TROPOMI SIF product was reevaluated with the improved geolocation match method between the satellite pixel and the corresponding in situ site. The results indicate that ignoring the geometric errors of TROPOMI pixels can result in a 49% probability of mismatch between the validation pixel and the in situ site. The errors caused by geolocation mismatch mainly come from two aspects. One is the incorrect extraction of the validation pixel, with a maximum error of 1.385 mWm−2 sr−1 nm−1. The other is the pixel-scale reference “truth,” which resulted from the improper upscaling function of in situ measurements, and the maximum of this kind of error was 0.445 mWm−2 sr−1 nm−1. With this improved geolocation match method, the TROPOMI SIF product showed a RMSE of 0.58 mWm−2 sr−1 nm−1, a bias of 0.19 mWm−2 sr−1 nm−1, and a R2 of 0.51, which indicate a better performance than without considering geometric location matching errors.
期刊介绍:
JGR-Biogeosciences focuses on biogeosciences of the Earth system in the past, present, and future and the extension of this research to planetary studies. The emerging field of biogeosciences spans the intellectual interface between biology and the geosciences and attempts to understand the functions of the Earth system across multiple spatial and temporal scales. Studies in biogeosciences may use multiple lines of evidence drawn from diverse fields to gain a holistic understanding of terrestrial, freshwater, and marine ecosystems and extreme environments. Specific topics within the scope of the section include process-based theoretical, experimental, and field studies of biogeochemistry, biogeophysics, atmosphere-, land-, and ocean-ecosystem interactions, biomineralization, life in extreme environments, astrobiology, microbial processes, geomicrobiology, and evolutionary geobiology