文献类型：期刊文献

英文题名：Remote Sensing Estimates of Particulate Organic Carbon Sources in the Zhanjiang Bay Using Sentinel-2 Data and Carbon Isotopes

作者：Yu, Guo[1,2,3];Zhong, Yafeng[2,3];Liu, Sihai[1,3];Lao, Qibin[1,3];Chen, Chunqing[1,3];Fu, Dongyang[2];Chen, Fajin[1,3,4]

机构：[1]Guangdong Ocean Univ, Coll Ocean & Meteorol, Zhanjiang 524088, Peoples R China;[2]Guangdong Ocean Univ, Coll Elect & Informat Engn, Zhanjiang 524088, Peoples R China;[3]Guangdong Ocean Univ, Coll Chem & Environm Sci, Zhanjiang 524088, Peoples R China;[4]Guangdong Ocean Univ, Key Lab Climate Resources & Environm Continental S, Zhanjiang 524088, Peoples R China

年份：2023

卷号：15

期号：15

外文期刊名：REMOTE SENSING

收录：SCI-EXPANDED(收录号：WOS:001045547300001)、、EI(收录号：20233314569224)、Scopus(收录号：2-s2.0-85167814182)、WOS

基金：This study was supported by the National Natural Science Foundation of China (42276047, U1901213, 92158201) and Innovation and Entrepreneurship Project of Shantou (2021112176541391).

语种：英文

外文关键词：remote sensing; geochemical isotope; POC sources; empirical algorithm; Zhanjiang Bay

外文摘要：The source information of coastal particulate organic carbon (POC) with high spatial and temporal resolution is of great significance for the study of marine carbon cycles and marine biogeochemical processes. Over the past decade, satellite ocean color remote sensing has greatly improved our understanding of the spatiotemporal dynamics of ocean particulate organic carbon concentrations. However, due to the complexity of coastal POC sources, remote sensing methods for coastal POC sources have not yet been established. With an attempt to fill the gap, this study developed an algorithm for retrieving coastal POC sources using remote sensing and geochemical isotope technology. The isotope end-member mixing model was used to calculate the proportion of POC sources, and the response relationship between POC source information and in situ remote sensing reflectance (R-rs) was established to develop a retrieval algorithm for POC sources with the following four bands: (R-rs(443)/R-rs(492)) x (R-rs(704)/R-rs(665)). The results showed that the four-band algorithm performed well with R-2, mean absolute percentage error (MAPE) and root mean square error (RMSE) values of 0.78, 33.57% and 13.74%, respectively. Validation against in situ data showed that the four-band algorithm derived calculated the proportion of marine POC accurately, with an MAPE and RMSE of 27.49% and 13.58%, respectively. The accuracy of the algorithm was verified based on the Sentinel-2 data, with an MAPE and RMSE of 28.02% and 15.72%, respectively. Additionally, we found that the proportion of marine POC sources was higher outside the Zhanjiang Bay than inside it using in situ survey data, which was consistent with the retrieved results. Influencing factors of POC sources may be due to the occurrence of phytoplankton blooms outside the bay and the impact of terrestrial inputs inside the bay. Remote sensing in combination with carbon isotopes provides important technical assistance in comprehending the biogeochemical process of POC and uncovering spatiotemporal variations in POC sources and their underlying causes.