HY-1C/D Reveals the Chlorophyll-a Concentration Distribution Details in the Intensive Islands’ Waters and Its Consistency with the Distribution of Fish Spawning Ground

Cai, Lina; Yu, Menghan; Yan, Xiaojun; Zhou, Yongdong; Chen, Songyu

doi:10.3390/rs14174270

Cited by 9 publications

(6 citation statements)

References 42 publications

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“…2d) bands were 0.277, 0.392 and 0.367, respectively, with the blue band having the lowest correlation with the chlorophyll-a concentrations. Therefore, inversion modeling of chlorophyll-a concentrations using a single band is inappropriate, and inversion modeling using a combination of bands should be considered [35,36].…”

Section: Results and Analysis A Sensitive Band For Chlorophyll-amentioning

confidence: 99%

Inversion of Chlorophyll-a Concentrations in Chaohu Lake Based on GF-1 WFV Images

Peng,

Chen

2024

IEEE Access

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Chlorophyll-a is an important parameter that is used to measure the water quality, and its concentrations indicate the degree of eutrophication. Taking the waters of Chaohu Lake as the research area, four remote sensing inversion models of the chlorophyll-a concentrations were constructed based on GF-1 WFV images using empirical and semiempirical/semianalytical methods. The optimal model was selected by evaluating the model validation accuracies, and this model was used to invert the spatial distributions of the chlorophyll-a concentrations in the waters of Chaohu Lake from May to July 2017. The results show that the NDCI model is the most suitable for inverting chlorophyll-a concentrations in the waters of Chaohu Lake based on GF-1 WFV images. This model has the highest validation accuracy, with a determination coefficient of 0.933, a Root mean square error of 2.85 µg/L and a mean absolute percentage error of 19.69%. The spatial distributions of the chlorophyll-a concentrations in the waters of Chaohu Lake from May to July 2017 all showed decreasing trends from Western Half Lake to Eastern Half Lake, the areas of higher chlorophyll-a concentrations in May and June were mainly concentrated in the northern waters of Western Half Lake, and the area with the highest chlorophyll-a concentrations in July was located in the northwestern waters of Middle Half Lake. The mean chlorophyll-a concentration in the waters of Chaohu Lake from May to July 2017 was 12.5 µg/L, which indicated slight eutrophication.

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Section: Results and Analysis A Sensitive Band For Chlorophyll-amentioning

confidence: 99%

Inversion of Chlorophyll-a Concentrations in Chaohu Lake Based on GF-1 WFV Images

Peng,

Chen

2024

IEEE Access

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“…HY-1C and HY-1D were launched on 7 September 2018 and 11 June 2020. Two satellites for combined morning and afternoon observations can increase the number of observations and improve global coverage capability [32]. HY-1C and HY-1D are sun-synchronous orbit satellites with an orbit altitude of 789 km.…”

Section: Satellite Datamentioning

confidence: 99%

Study on the Typical Environmental Factors in the Middle Part of Zhoushan Fishery Based on HY-1C/D and Other Multi-Source Data

Zhang,

Cai,

et al. 2024

Water

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This study utilizes satellite data, including HY-1C/D, along with reanalysis data, to unveil the typical environmental characteristics of the sea surface in the middle of Zhoushan fishery. The article addresses three main issues. The first one is the development of an ocean primary productivity (OPP) inversion algorithm model. The second one is the study of chlorophyll-α (Chl-α) concentration and OPP distribution characteristics in Zhoushan fishery using China’s domestically produced ocean satellite HY-1C/D CZI data. The last one is the revelation of the characteristics of typical environmental factors on the sea surface at Zhoushan fishery by combining HY-1C/D with multi-source data. The results show the following: (1) The middle part of Zhoushan fishery exhibits significant seasonal and regional variations in Chl-α concentration and OPP. Chl-α concentration ranges mainly between 0.2 and 2.9 µg/L, with higher concentrations in spring and summer and lower Chl-α concentrations in autumn and winter. Spatially, Chl-α concentration gradually decreases from west to east. The OPP in the study area ranges from 100 mg·m−2d−1 to 1000 mg·m−2d−1, with high OPP values distributed on the western side, ranging from 400 mg·m−2d−1 to 1000 mg·m−2d−1, and gradually decreasing seaward. The highest OPP occurs in summer and the lowest in winter. (2) The correlation analysis between Chl-α concentration and OPP revealed a strong positive relationship. Consequently, this study developed an empirical model for estimating OPP based on Chl-α concentration and validated its feasibility. The model applies to areas with Chl-α concentrations ranging from 0.2 to 4 µg/L. (3) The convergence of freshwater injection, multiple ocean currents, and seasonal upwelling in the study area brings about a rich supply of nutrients. Additionally, the region is characterized by suitable conditions, including optimal Chl-α concentrations, OPP, SST, salinity, currents, and geological water depths. The synergistic effect of these factors together contributed to the formation of Zhoushan fishery.

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“…Our investigation focused on the Bohai-Yellow Sea region, particularly the Bohai Sea, which has drawn considerable attention due to water environment eutrophication caused by rapid urban development of neighboring cities. Satellite remote sensing has emerged as a favored research field for acquiring spatial and temporal information on water quality rapidly and at a low cost [59].…”

Section: Necessity and Limitations Of Goci Reflectance Correctionmentioning

confidence: 99%

Quantitative Retrieval of Chlorophyll-a Concentrations in the Bohai–Yellow Sea Using GOCI Surface Reflectance Products

Wang,

Tang,

Wang

et al. 2023

Remote Sensing

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As an environmental parameter, the chlorophyll-a concentration (Chl-a) is essential for monitoring water quality and managing the marine ecosystem. However, current mainstream Chl-a inversion algorithms have limited accuracy and poor spatial and temporal generalization in Case II waters. In this study, we constructed a quantitative model for retrieving the spatial and temporal distribution of Chl-a in the Bohai–Yellow Sea area using Geostationary Ocean Color Imager (GOCI) spectral remote sensing reflectance (Rrsλ) products. Firstly, the GOCI Rrsλ correction model based on measured spectral data was proposed and evaluated. Then, the feature variables of the band combinations with the highest correlation with Chl-a were selected. Subsequently, Chl-a inversion models were developed using three empirical ocean color algorithms (OC4, OC5, and YOC) and four machine learning methods: BP neural network (BPNN), random forest (RF), AdaBoost, and support vector regression (SVR). The retrieval results showed that the machine learning methods were much more accurate than the empirical algorithms and that the RF model retrieved Chl-a with the best performance and the highest prediction accuracy, with a determination coefficient R2 of 0.916, a root mean square error (RMSE) of 0.212 mg·m−3, and a mean absolute percentage error (MAPE) of 14.27%. Finally, the Chl-a distribution in the Bohai–Yellow Sea using the selected RF model was derived and analyzed. Spatially, Chl-a was high in the Bohai Sea, including in Laizhou Bay, Bohai Bay, and Liaodong Bay, with a value higher than 4 mg·m−3. Chl-a in the Bohai Strait and northern Yellow Sea was relatively low, with a value of less than 3 mg·m−3. Temporally, the inversion results showed that Chl-a was considerably higher in winter and spring compared to autumn and summer. Diurnal variation retrieval effectively demonstrated GOCI’s potential as a capable tool for monitoring intraday changes in chlorophyll-a concentrations.

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HY-1C/D Reveals the Chlorophyll-a Concentration Distribution Details in the Intensive Islands’ Waters and Its Consistency with the Distribution of Fish Spawning Ground

Cited by 9 publications

References 42 publications

Inversion of Chlorophyll-a Concentrations in Chaohu Lake Based on GF-1 WFV Images

Inversion of Chlorophyll-a Concentrations in Chaohu Lake Based on GF-1 WFV Images

Study on the Typical Environmental Factors in the Middle Part of Zhoushan Fishery Based on HY-1C/D and Other Multi-Source Data

Quantitative Retrieval of Chlorophyll-a Concentrations in the Bohai–Yellow Sea Using GOCI Surface Reflectance Products

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