Mapping the trophic state index of eastern lakes in China using an empirical model and Sentinel-2 imagery data

Li, Sijia; Chen, Fangfang; Song, Kaishan; Liu, Ge; Tao, Hui; Xu, Shiqi; Wang, Xiang; Wang, Qiang; Mu, Guangyi

doi:10.1016/j.jhydrol.2022.127613

Cited by 21 publications

(14 citation statements)

References 74 publications

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“…Likewise, at 440 nm, the MSI signal-to-noise ratio is 40% greater than that of OLI, and aggregated MSI sensor bands might produce reasonably smooth and radiometric quality reflectance outputs (i.e., 490, 560, and 665 nm) [46]. This confirms that MSI has the potential to map [Chl-a] [21] and the synthetic trophic status index [22] to evaluate the trophic status of lakes, as well as the CDOM levels with reflectance at 440 nm [23]. However, our results for AC processors showed uneven performances for MSI (Figs.…”

Section: Ac Implications For Large-scale Observations Using Msisupporting

confidence: 57%

“…The TSM of CH( 18) was relatively small but the mean Chl-a value was relatively highest (range: 10.4-121 μg L -1 , mean: 37.09 μg L -1 with SD was 33.2 μg L -1 ). This indicating that there was spatial heterogeneity for CH samples, because of eutrophic status and frequent algal bloom previously found in Lake Chaohu [22]. The TSM of HZ( 17) had a large range and high mean TSM (range: 32-164 mg L -1 , mean: 84.20 mg L -1 ), which could attributing to increased non-water light absorption and particulate backscattering coefficient considering the bio-optical properties of optically complex lakes.…”

Section: A Field Radiometry and Surrounding Water Qualitymentioning

confidence: 72%

“…The MultiSpectral Instrument (MSI) onboard the Sentinel-2 satellite has recently sparked the attention of the scientific community in water quality mapping [11,[16][17][18][19][20]. The free acquisition of image data at resolutions of 10 m × 10 m at nadir by the Copernicus Sentinel-2 satellites has spurred applications for small-area inland waterways [7,[21][22]. In addition, the integrated red and red edge bands may have more advantages in quantifying synthetic indicators such as the trophic state index [22].…”

Section: Introductionmentioning

confidence: 99%

“…The free acquisition of image data at resolutions of 10 m × 10 m at nadir by the Copernicus Sentinel-2 satellites has spurred applications for small-area inland waterways [7,[21][22]. In addition, the integrated red and red edge bands may have more advantages in quantifying synthetic indicators such as the trophic state index [22]. It is provided with narrow (<10 nm) spectral bands in the 380-780 nm and near-infrared regions, which are the most optically active substance domains [23], as well as have a nominal revisit time of 3-5 days [24].…”

Section: Introductionmentioning

confidence: 99%

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Performances of Atmospheric Correction Processors for Sentinel-2 MSI Imagery Over Typical Lakes Across China

Song

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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The launched MultiSpectral Instrument (MSI) equipped on Sentinel-2 satellites offers a powerful tool for observing the biogeochemical parameters of inland waters on a large scale. The proper use of atmospheric correction processors is essential for acquiring accurate satellite remote-sensing reflectance and downstream products. Therefore, we compared the performances of typical atmospheric correction processors, such as Sen2Cor, C2RCC-nets, C2RCC-C2X, Acolite, iCOR, Polymer, SeaDas/l2gen, and 6S processors, for MSI imagery over lake groups (N = 296) across China collected from 2016 to 2020. Linear fitting between corrected reflectance and in situ spectral measurements was used to assess performance; for the single lake, we additionally evaluated the performance of atmospheric correction processors in typical Chagan Lake in 2021. For largescale lake groups with different water quality backgrounds, the SeaDas/l2gen and C2RCC processors performed best for all band match-ups, and the C2RCC processor had the smallest errors. The SeaDas/l2gen processor works well for the signal bands (490, 560, 665, 704, and 740 nm), followed by the signal bands (560, 665, and 704 nm) of the C2RCC processor. For large-scale observations, this study revealed that Sentinel-2 satellite optical MSI imagery related to the C2RCC processor can be used to monitor aquatic systems with high-frequency investigations. For the signal band, the SeaDas/l2gen processor was used to select potential match-ups for the availability of MSI data related to the empirical models of processors. Our results may help satellite users select appropriate atmospheric correction processors for large-scale lake observations.

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Section: Ac Implications For Large-scale Observations Using Msisupporting

confidence: 57%

Section: A Field Radiometry and Surrounding Water Qualitymentioning

confidence: 72%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Performances of Atmospheric Correction Processors for Sentinel-2 MSI Imagery Over Typical Lakes Across China

Song

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…However, owing to the extreme natural environment of the TP and the poor accessibility of some salt lakes, traditional methods cannot reflect the spatial distribution of the mineral content in salt lakes as a whole. The use of remote sensing to estimate water parameters has been used in salt lakes (Wang et al, 2015;, estuaries (Geiger et al, 2013;Fang et al, 2017), seas (Chen and Hu, 2017), inland freshwater lakes (Bayati and Danesh-Yazdi, 2021;Li et al, 2022) and other regions. Compared with traditional measures, the use of satellite remote sensing to monitor mineral content has the advantages of a large range, long duration, and periodicity (Sun et al, 2022), which overcome the shortcomings and limitations of traditional methods.…”

Section: Introductionmentioning

confidence: 99%

Mineral content estimation for salt lakes on the Tibetan plateau based on the genetic algorithm-based feature selection method using Sentinel-2 imagery: A case study of the Bieruoze Co and Guopu Co lakes

et al. 2023

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Salt lakes on the Tibetan Plateau (TP) are rich in lithium (Li), boron (B) and other mineral resources, and accurate assessment of the mineral content and spatial distribution of the brine in those salt lakes is important to guide the development and utilization of their mineral resources. There are few studies estimating the mineral content of salt lakes on the TP due to the lack of in situ investigation data. This study introduced an intelligent prediction model combining a feature selection algorithm with a machine learning algorithm using Sentinel-2 satellite data to estimate the Li, B, and TDS contents of Bieruoze Co and Guopu Co lakes on the TP. First, to enrich the spectral information, four mathematical transformations (reciprocal, logarithmic, reciprocal of logarithm, and first-order derivative) were applied to the original bands. Then, feature selection was performed using the genetic algorithm (GA) to select the optimal input variables for the model. Finally, prediction models were constructed by partial least squares regression (PLSR), multiple linear regression (MLR), and random forest (RF). The results showed that: 1) The spectral mathematical transformation provided rich spectral information for the mineral content estimation. 2) The performance of the estimation model constructed by the feature optimization method using GA was better than that of the estimation model constructed based on all spectral bands. Based on GA for feature optimization, the MAPE of GA-RF for estimating Li, B and TDS contents on the testing set was reduced by 77.52%, 28.54% and 36.79%, respectively. 3) Compared with the GA-MLR and GA-PLSR models, GA-RF estimated Li (R2=0.99, RMSE=1.15 mg L-1, MAPE=3.00%), B (R2=0.97, RMSE=10.65 mg L-1, MAPE=2.73%), and TDS (R2=0.93, RMSE=0.60 g L-1, MAPE=1.82%) all obtained the optimal performance. This study showed that the combination of the GA-based feature selection method and the RF model has excellent performance and applicability for monitoring the content of multiple minerals using Sentinel-2 imagery in salt lakes on the TP.

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Urban Effects on Hydrological Status and Trophic State in Peri-Urban Wetland

Majumdar

Ziaul

Pal

et al. 2023

GIScience and Geo-Environmental Modelling

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Mapping the trophic state index of eastern lakes in China using an empirical model and Sentinel-2 imagery data

Cited by 21 publications

References 74 publications

Performances of Atmospheric Correction Processors for Sentinel-2 MSI Imagery Over Typical Lakes Across China

Performances of Atmospheric Correction Processors for Sentinel-2 MSI Imagery Over Typical Lakes Across China

Mineral content estimation for salt lakes on the Tibetan plateau based on the genetic algorithm-based feature selection method using Sentinel-2 imagery: A case study of the Bieruoze Co and Guopu Co lakes

Urban Effects on Hydrological Status and Trophic State in Peri-Urban Wetland

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