TY - JOUR
T1 - A Glimpse of Ocean Color Remote Sensing From Moon-Based Earth Observations
AU - Liu, Huizeng
AU - Li, Qingquan
AU - Zhu, Ping
AU - Hu, Zhongwen
AU - Yang, Chao
AU - Wang, Yongquan
AU - Cui, Aihong
AU - Wang, Zuomin
AU - Wu, Guofeng
N1 - This work was supported in part by the Moon-Based Exploration Research Equipment Purchase Project of Development and Reform Commission of Shenzhen Municipality under Grant 2106-440300-04-03-901272 and in part by the National Natural Science Foundation of China under Grant 42001281.
Publisher Copyright:
© 1980-2012 IEEE.
PY - 2022/4/20
Y1 - 2022/4/20
N2 - As the only natural satellite of the Earth, the Moon provides vital location resources and supportive environment for Earth observations, and the Moon-based Earth observation (MEO) has unparalleled advantages in global climate change and large-scale phenomena. The ocean plays an important role in regulating climate and global water and carbon cycle. With an attempt to explore the feasibility of MEO-based marine environment monitoring, this study aimed to investigate the observing geometry and revisiting frequency of the MEO-based ocean color remote sensing and further to explore its quantitative application potentials. Results showed that MEO-based ocean color remote sensing, capturing the Earth on an hourly basis, could observe most part of the ocean for over five times per day; however, both solar zenith angle and view zenith angle were high at high-latitude regions; atmospheric reflectance accounted for most of sensor-measured signal, especially at high solar and view zenith angle, while surface-reflected glint reflectance was also notable at low solar zenith angle; and the remote sensing reflectance retrieved from MEO-based ocean color remote sensing could be used for chlorophyll retrieval. In further studies, more efforts should be paid on how to accurately retrieve remote sensing reflectance at high solar and view zenith angle, which would improve the application capability of MEO for polar regions. Overall, this study demonstrated the great potentials of MEO-based ocean color remote sensing, and MEO would be a new observing perspective and long-term consistent data source for marine environment monitoring.
AB - As the only natural satellite of the Earth, the Moon provides vital location resources and supportive environment for Earth observations, and the Moon-based Earth observation (MEO) has unparalleled advantages in global climate change and large-scale phenomena. The ocean plays an important role in regulating climate and global water and carbon cycle. With an attempt to explore the feasibility of MEO-based marine environment monitoring, this study aimed to investigate the observing geometry and revisiting frequency of the MEO-based ocean color remote sensing and further to explore its quantitative application potentials. Results showed that MEO-based ocean color remote sensing, capturing the Earth on an hourly basis, could observe most part of the ocean for over five times per day; however, both solar zenith angle and view zenith angle were high at high-latitude regions; atmospheric reflectance accounted for most of sensor-measured signal, especially at high solar and view zenith angle, while surface-reflected glint reflectance was also notable at low solar zenith angle; and the remote sensing reflectance retrieved from MEO-based ocean color remote sensing could be used for chlorophyll retrieval. In further studies, more efforts should be paid on how to accurately retrieve remote sensing reflectance at high solar and view zenith angle, which would improve the application capability of MEO for polar regions. Overall, this study demonstrated the great potentials of MEO-based ocean color remote sensing, and MEO would be a new observing perspective and long-term consistent data source for marine environment monitoring.
KW - Marine environment monitoring
KW - Moon-based earth observation (MEO)
KW - observing geometry
KW - ocean color remote sensing
KW - radiative transfer
UR - http://www.scopus.com/inward/record.url?scp=85128584747&partnerID=8YFLogxK
UR - https://ieeexplore.ieee.org/document/9760406/authors#authors
U2 - 10.1109/TGRS.2022.3168937
DO - 10.1109/TGRS.2022.3168937
M3 - Journal article
AN - SCOPUS:85128584747
SN - 0196-2892
VL - 60
JO - IEEE Transactions on Geoscience and Remote Sensing
JF - IEEE Transactions on Geoscience and Remote Sensing
M1 - 4206811
ER -