TY - GEN
T1 - Water Quality Monitoring of the Yangtze Estuary by Using GF-5 Hyperspectral Image
AU - Gu, Qinhua
AU - Li, Qingli
AU - Zhou, Mei
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - Ocean color remote sensing is one of the important means to monitor the spatial distribution of water quality parameters and to assess the estuarine environment. The successful launch of Gaofen-5 (GF-5) satellite provides researchers a high-resolution alternative for monitoring water quality. As the GF-5 satellite is put into use officially, to explore the practical capability of GF-5 satellite for water color remote sensing, this study takes the Yangtze river estuary as an example. Two GF-5 hyperspectral images acquired on March 27, 2019 are processed to estimate the chlorophyll-a concentration (Cchla) and suspended sediment concentration (SSC) in the Yangtze river estuary. Compared with water samples and other studies in Yangtze Estuary, the retrieved remote sensing reflectance (Rrs) is the same as the spectrum of high turbidity water body. Additionally, the obtained parameter value range and spatial distribution of Yangtze river estuary water quality parameters in dry season are consistent with previous studies and natural laws. The application effect of GF-5 hyperspectral image is ideal, and our future study will further exploit the potential of GF-5.
AB - Ocean color remote sensing is one of the important means to monitor the spatial distribution of water quality parameters and to assess the estuarine environment. The successful launch of Gaofen-5 (GF-5) satellite provides researchers a high-resolution alternative for monitoring water quality. As the GF-5 satellite is put into use officially, to explore the practical capability of GF-5 satellite for water color remote sensing, this study takes the Yangtze river estuary as an example. Two GF-5 hyperspectral images acquired on March 27, 2019 are processed to estimate the chlorophyll-a concentration (Cchla) and suspended sediment concentration (SSC) in the Yangtze river estuary. Compared with water samples and other studies in Yangtze Estuary, the retrieved remote sensing reflectance (Rrs) is the same as the spectrum of high turbidity water body. Additionally, the obtained parameter value range and spatial distribution of Yangtze river estuary water quality parameters in dry season are consistent with previous studies and natural laws. The application effect of GF-5 hyperspectral image is ideal, and our future study will further exploit the potential of GF-5.
KW - Gaofen-5 Satellite
KW - Yangtze River Estuary
KW - chlorophyll-a concentration
KW - hyperspectral image
KW - suspended sediment concentration
KW - water quality monitoring
UR - https://www.scopus.com/pages/publications/85079127962
U2 - 10.1109/CISP-BMEI48845.2019.8965970
DO - 10.1109/CISP-BMEI48845.2019.8965970
M3 - 会议稿件
AN - SCOPUS:85079127962
T3 - Proceedings - 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2019
BT - Proceedings - 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2019
A2 - Li, Qingli
A2 - Wang, Lipo
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2019
Y2 - 19 October 2019 through 21 October 2019
ER -