Yichen Yang , Yudi Zhou , Iwona S. Stachlewska , Yongxiang Hu , Xiaomei Lu , Weibiao Chen , Jiqiao Liu , Wenbo Sun , Suhui Yang , Yuting Tao , Lei Lin , Weige Lv , Lingying Jiang , Lan Wu , Chong Liu , Dong Liu
{"title":"全球海洋颗粒后向散射系数的空间高光谱分辨率激光雷达 ACDL/DQ-1 测量结果","authors":"Yichen Yang , Yudi Zhou , Iwona S. Stachlewska , Yongxiang Hu , Xiaomei Lu , Weibiao Chen , Jiqiao Liu , Wenbo Sun , Suhui Yang , Yuting Tao , Lei Lin , Weige Lv , Lingying Jiang , Lan Wu , Chong Liu , Dong Liu","doi":"10.1016/j.rse.2024.114444","DOIUrl":null,"url":null,"abstract":"<div><div>Spaceborne lidars have demonstrated outstanding global ocean observation in terms of sampling at day- and night-time and penetrating thin cloud and aerosol layers. A spaceborne high-spectral-resolution lidar (HSRL) has the potential to provide accurate optical properties by decreasing the number of assumptions in the retrieval algorithm in comparison with classical elastic spaceborne lidar. In this paper, we report the first ocean application from both particulate and molecular scattering measurements of spaceborne HSRL, namely Aerosol and Carbon Detection Lidar (ACDL) onboard China DQ-1 satellite. We use the ACDL/DQ-1 HSRL to quantify particulate backscatter coefficient <em>b</em><sub>bp</sub> in the global ocean, with a novel algorithm exploiting the column-integrated particulate and molecular signals. The ACDL-derived <em>b</em><sub>bp</sub> data agree well with MODIS-derived data through along-track and global comparisons. It also presents high correlations with the Argo floats <em>in-situ</em> data under various spatial and temporal matching windows. The ACDL/DQ-1 is anticipated to become an important part of the global ocean satellite observations addressing some limitations of traditional passive ocean colour observation.</div></div>","PeriodicalId":417,"journal":{"name":"Remote Sensing of Environment","volume":"315 ","pages":"Article 114444"},"PeriodicalIF":11.1000,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spaceborne high-spectral-resolution lidar ACDL/DQ-1 measurements of the particulate backscatter coefficient in the global ocean\",\"authors\":\"Yichen Yang , Yudi Zhou , Iwona S. Stachlewska , Yongxiang Hu , Xiaomei Lu , Weibiao Chen , Jiqiao Liu , Wenbo Sun , Suhui Yang , Yuting Tao , Lei Lin , Weige Lv , Lingying Jiang , Lan Wu , Chong Liu , Dong Liu\",\"doi\":\"10.1016/j.rse.2024.114444\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Spaceborne lidars have demonstrated outstanding global ocean observation in terms of sampling at day- and night-time and penetrating thin cloud and aerosol layers. A spaceborne high-spectral-resolution lidar (HSRL) has the potential to provide accurate optical properties by decreasing the number of assumptions in the retrieval algorithm in comparison with classical elastic spaceborne lidar. In this paper, we report the first ocean application from both particulate and molecular scattering measurements of spaceborne HSRL, namely Aerosol and Carbon Detection Lidar (ACDL) onboard China DQ-1 satellite. We use the ACDL/DQ-1 HSRL to quantify particulate backscatter coefficient <em>b</em><sub>bp</sub> in the global ocean, with a novel algorithm exploiting the column-integrated particulate and molecular signals. The ACDL-derived <em>b</em><sub>bp</sub> data agree well with MODIS-derived data through along-track and global comparisons. It also presents high correlations with the Argo floats <em>in-situ</em> data under various spatial and temporal matching windows. The ACDL/DQ-1 is anticipated to become an important part of the global ocean satellite observations addressing some limitations of traditional passive ocean colour observation.</div></div>\",\"PeriodicalId\":417,\"journal\":{\"name\":\"Remote Sensing of Environment\",\"volume\":\"315 \",\"pages\":\"Article 114444\"},\"PeriodicalIF\":11.1000,\"publicationDate\":\"2024-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Remote Sensing of Environment\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S003442572400470X\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Remote Sensing of Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S003442572400470X","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Spaceborne high-spectral-resolution lidar ACDL/DQ-1 measurements of the particulate backscatter coefficient in the global ocean
Spaceborne lidars have demonstrated outstanding global ocean observation in terms of sampling at day- and night-time and penetrating thin cloud and aerosol layers. A spaceborne high-spectral-resolution lidar (HSRL) has the potential to provide accurate optical properties by decreasing the number of assumptions in the retrieval algorithm in comparison with classical elastic spaceborne lidar. In this paper, we report the first ocean application from both particulate and molecular scattering measurements of spaceborne HSRL, namely Aerosol and Carbon Detection Lidar (ACDL) onboard China DQ-1 satellite. We use the ACDL/DQ-1 HSRL to quantify particulate backscatter coefficient bbp in the global ocean, with a novel algorithm exploiting the column-integrated particulate and molecular signals. The ACDL-derived bbp data agree well with MODIS-derived data through along-track and global comparisons. It also presents high correlations with the Argo floats in-situ data under various spatial and temporal matching windows. The ACDL/DQ-1 is anticipated to become an important part of the global ocean satellite observations addressing some limitations of traditional passive ocean colour observation.
期刊介绍:
Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing.
The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques.
RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.