

FOLLOWUS
1.Liaoning Earthquake Agency, Shenyang 11000, China
2.Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
3.International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
4.School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
wangsl@radi.ac.cn
收稿:2023-06-12,
网络首发:2023-12-10,
纸质出版:2024-07-01
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Spatial and temporal variation of water clarity in typical reservoirs in the Beijing-Tianjin-Hebei region observed by GF1-WFV satellite data[J]. 海洋湖沼学报(英文), 2024,42(4):1048-1060.
CAO Chang,LI Junsheng,JIA Xiaodong,et al.Spatial and temporal variation of water clarity in typical reservoirs in the Beijing-Tianjin-Hebei region observed by GF1-WFV satellite data[J].Journal of Oceanology and Limnology,2024,42(04):1048-1060.
Spatial and temporal variation of water clarity in typical reservoirs in the Beijing-Tianjin-Hebei region observed by GF1-WFV satellite data[J]. 海洋湖沼学报(英文), 2024,42(4):1048-1060. DOI:
CAO Chang,LI Junsheng,JIA Xiaodong,et al.Spatial and temporal variation of water clarity in typical reservoirs in the Beijing-Tianjin-Hebei region observed by GF1-WFV satellite data[J].Journal of Oceanology and Limnology,2024,42(04):1048-1060. DOI:
Rapidly monitoring regional water quality and the changing trend is of great practical and scientific significance
especially for the Beijing-Tianjin-Hebei (BTH) region of China where water resources are relatively scarce and inland water bodies are generally small. The remote sensing data of the GF1 satellite launched in 2013 have characteristics of high spatial and temporal resolution
which can be used for the dynamic monitoring of the water environment in small lakes and reservoirs. However
the water quality remote sensing monitoring model based on the GF1 satellite data for lakes and reservoirs in BTH is still lacking because of the considerable differences in the optical characteristics of the lakes and reservoirs. In this paper
the typical reservoirs in BTH-Guanting Reservoir
Yuqiao Reservoir
Panjiakou Reservoir
and Daheiting Reservoir are taken as the study areas. In the atmospheric correction of GF1-WFV
the relative radiation normalized atmospheric correction was adopted after comparing it with other methods
such as 6S and FLAASH. In the water clarity retrieval
a water color hue angle based model was proposed and outperformed other available published models
with the
R
2
of 0.74 and MRE of 31.7%. The clarity products of the four typical reservoirs in the BTH region in 2013–2019 were produced using the GF1-WFV data. Based on the products
temporal and spatial changes in clarity were analyzed
and the main influencing factors for each water body were discussed. It was found that the clarity of Guanting
Daheiting
and Panjiakou reservoirs showed an upward trend during this period
while that of Yuqiao Reservoir showed a downward trend. In the influencing factors
the water level of the water bodies can be an important factor related to the water clarity changes in this region.
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