Yi Wang , Zibo You , Lunche Wang , Jun Wang , Meng Zhou , Minghui Tao , Jhoon Kim
{"title":"Himawari-8沿海浅水和浑浊水域AOD的高时间分辨率反演","authors":"Yi Wang , Zibo You , Lunche Wang , Jun Wang , Meng Zhou , Minghui Tao , Jhoon Kim","doi":"10.1016/j.isprsjprs.2025.07.027","DOIUrl":null,"url":null,"abstract":"<div><div>Although the operational Himawar-8 Aerosol Retrieval Product (ARP) can resolve diurnal variation of aerosol loading, the ARP Aerosol Optical Depth (AOD) retrievals are significantly overestimated over Shallow and Turbid Coastal Waters (STCW) as water-leaving radiance is not explicitly considered in the retrieval process. Taking the advantage that 2.3 μm water-leaving radiance from STCW is insignificant, we developed a Himawari-8 Coastal Water AOD retrieval approach (CW) by using 2.3 μm Top of Atmosphere (TOA) reflectance and the aerosol properties of the nearest open ocean pixel. Unlike the abnormally large ARP AOD retrievals over STCW, the CW algorithm yields a smooth transition among land, coast, and open ocean over Asia and increases the number of AOD retrievals by more than 10 %, depending on the variation of coastal regions. Validation against Marine Aerosol Network measurements over STCW show that 65.5 % of CW retrievals are within the expected error envelope (± (0.05 + 15 %AOD)), compared with 56.5 % for ARP, and this improvement is independent of observational geometry and terrain. Moreover, CW AOD retrievals over STCW can well capture the diurnal variation observed by Aerosol Robotic Network while ARP cannot. As to seasonal variation, CW AOD over the STCW of East China increases in spring and peaks in June, while the coverage of abnormally large ARP AOD follows the temporal change of turbid coastal waters area with a maximum occurring in winter.</div></div>","PeriodicalId":50269,"journal":{"name":"ISPRS Journal of Photogrammetry and Remote Sensing","volume":"228 ","pages":"Pages 603-612"},"PeriodicalIF":12.2000,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"First high temporal resolution retrievals of AOD over shallow and turbid coastal waters for Himawari-8\",\"authors\":\"Yi Wang , Zibo You , Lunche Wang , Jun Wang , Meng Zhou , Minghui Tao , Jhoon Kim\",\"doi\":\"10.1016/j.isprsjprs.2025.07.027\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Although the operational Himawar-8 Aerosol Retrieval Product (ARP) can resolve diurnal variation of aerosol loading, the ARP Aerosol Optical Depth (AOD) retrievals are significantly overestimated over Shallow and Turbid Coastal Waters (STCW) as water-leaving radiance is not explicitly considered in the retrieval process. Taking the advantage that 2.3 μm water-leaving radiance from STCW is insignificant, we developed a Himawari-8 Coastal Water AOD retrieval approach (CW) by using 2.3 μm Top of Atmosphere (TOA) reflectance and the aerosol properties of the nearest open ocean pixel. Unlike the abnormally large ARP AOD retrievals over STCW, the CW algorithm yields a smooth transition among land, coast, and open ocean over Asia and increases the number of AOD retrievals by more than 10 %, depending on the variation of coastal regions. Validation against Marine Aerosol Network measurements over STCW show that 65.5 % of CW retrievals are within the expected error envelope (± (0.05 + 15 %AOD)), compared with 56.5 % for ARP, and this improvement is independent of observational geometry and terrain. Moreover, CW AOD retrievals over STCW can well capture the diurnal variation observed by Aerosol Robotic Network while ARP cannot. As to seasonal variation, CW AOD over the STCW of East China increases in spring and peaks in June, while the coverage of abnormally large ARP AOD follows the temporal change of turbid coastal waters area with a maximum occurring in winter.</div></div>\",\"PeriodicalId\":50269,\"journal\":{\"name\":\"ISPRS Journal of Photogrammetry and Remote Sensing\",\"volume\":\"228 \",\"pages\":\"Pages 603-612\"},\"PeriodicalIF\":12.2000,\"publicationDate\":\"2025-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ISPRS Journal of Photogrammetry and Remote Sensing\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0924271625002989\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GEOGRAPHY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISPRS Journal of Photogrammetry and Remote Sensing","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0924271625002989","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOGRAPHY, PHYSICAL","Score":null,"Total":0}
First high temporal resolution retrievals of AOD over shallow and turbid coastal waters for Himawari-8
Although the operational Himawar-8 Aerosol Retrieval Product (ARP) can resolve diurnal variation of aerosol loading, the ARP Aerosol Optical Depth (AOD) retrievals are significantly overestimated over Shallow and Turbid Coastal Waters (STCW) as water-leaving radiance is not explicitly considered in the retrieval process. Taking the advantage that 2.3 μm water-leaving radiance from STCW is insignificant, we developed a Himawari-8 Coastal Water AOD retrieval approach (CW) by using 2.3 μm Top of Atmosphere (TOA) reflectance and the aerosol properties of the nearest open ocean pixel. Unlike the abnormally large ARP AOD retrievals over STCW, the CW algorithm yields a smooth transition among land, coast, and open ocean over Asia and increases the number of AOD retrievals by more than 10 %, depending on the variation of coastal regions. Validation against Marine Aerosol Network measurements over STCW show that 65.5 % of CW retrievals are within the expected error envelope (± (0.05 + 15 %AOD)), compared with 56.5 % for ARP, and this improvement is independent of observational geometry and terrain. Moreover, CW AOD retrievals over STCW can well capture the diurnal variation observed by Aerosol Robotic Network while ARP cannot. As to seasonal variation, CW AOD over the STCW of East China increases in spring and peaks in June, while the coverage of abnormally large ARP AOD follows the temporal change of turbid coastal waters area with a maximum occurring in winter.
期刊介绍:
The ISPRS Journal of Photogrammetry and Remote Sensing (P&RS) serves as the official journal of the International Society for Photogrammetry and Remote Sensing (ISPRS). It acts as a platform for scientists and professionals worldwide who are involved in various disciplines that utilize photogrammetry, remote sensing, spatial information systems, computer vision, and related fields. The journal aims to facilitate communication and dissemination of advancements in these disciplines, while also acting as a comprehensive source of reference and archive.
P&RS endeavors to publish high-quality, peer-reviewed research papers that are preferably original and have not been published before. These papers can cover scientific/research, technological development, or application/practical aspects. Additionally, the journal welcomes papers that are based on presentations from ISPRS meetings, as long as they are considered significant contributions to the aforementioned fields.
In particular, P&RS encourages the submission of papers that are of broad scientific interest, showcase innovative applications (especially in emerging fields), have an interdisciplinary focus, discuss topics that have received limited attention in P&RS or related journals, or explore new directions in scientific or professional realms. It is preferred that theoretical papers include practical applications, while papers focusing on systems and applications should include a theoretical background.