Modeling Spatial Distribution of Suspended Sediments in Hoa Binh Reservoir Using Sentinel-2 Image and Co-Kriging

Knowledge about the spatial and temporal distributions of total suspended sediments (TSS) play a crucial role in effectively managing pollution and optimizing reservoir operations. This study utilized an in-situ dataset of TSS collected from 79 sampling points within the Hoa Binh Reservoir, coupled with Sentinel-2 (S2) satellite imagery acquired on three different dates: 12/07/2023, 19/12/2022, and 15/10/2022 to map the spatial distribution of TSS across the reservoir during these survey dates. By leveraging the correlation between TSS and the spectral ratio of band 3 to band 4 of the S2 images (with a correlation coefficient of 0.90), this band ratio was incorporated as an auxiliary variable to enhance the accuracy of Co-kriging predictions, with a notable improvement in the determination coefficients ( ) and the standard errors (RMSE), increasing from 0.08-0.46 to 0.90-0.95 and from 0.17-0.61 mg/L to 0.09-0.18 mg/L, respectively. The resulting TSS maps revealed two distinct trends: a) elevated TSS levels were observed near discharge rivers, while lower concentrations were found in the vicinity of the dam; b) TSS during the wet season (averaging at 1.85 mg/L) were higher compared to those in the dry season (averaging at 0.75 mg/L). These findings highlight the efficacy of utilizing S2 satellite imagery as a valuable tool for accurately mapping TSS spatial distribution across the Hoa Binh Reservoir.

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Publication Details

Journal
VNU Journal of Science Earth and Environmental Sciences
Published
2024-11-21
DOI
https://doi.org/10.25073/2588-1094/vnuees.5123
Citations
1
Primary Topic
Groundwater and Watershed Analysis
Type
article
Field-Weighted Citation Impact
0.21

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article

Modeling Spatial Distribution of Suspended Sediments in Hoa Binh Reservoir Using Sentinel-2 Image and Co-Kriging

Tran Thị Thu Hien, Pham The Vinh, Nguyễn Thiên Phương Thảo, Trần Minh Tiến et al.
1 citations
VNU Journal of Science Earth and Environmental Sciences
Groundwater and Watershed Analysis
0.21
article

Modeling Spatial Distribution of Suspended Sediments in Hoa Binh Reservoir Using Sentinel-2 Image and Co-Kriging

Tran Thị Thu Hien, Pham The Vinh, Nguyễn Thiên Phương Thảo, Trần Minh Tiến, Nguyen Thi Thu Ha, Do Huu Toan, Ha Cong Tien
article en
1 citations

Abstract

Knowledge about the spatial and temporal distributions of total suspended sediments (TSS) play a crucial role in effectively managing pollution and optimizing reservoir operations. This study utilized an in-situ dataset of TSS collected from 79 sampling points within the Hoa Binh Reservoir, coupled with Sentinel-2 (S2) satellite imagery acquired on three different dates: 12/07/2023, 19/12/2022, and 15/10/2022 to map the spatial distribution of TSS across the reservoir during these survey dates. By leveraging the correlation between TSS and the spectral ratio of band 3 to band 4 of the S2 images (with a correlation coefficient of 0.90), this band ratio was incorporated as an auxiliary variable to enhance the accuracy of Co-kriging predictions, with a notable improvement in the determination coefficients ( ) and the standard errors (RMSE), increasing from 0.08-0.46 to 0.90-0.95 and from 0.17-0.61 mg/L to 0.09-0.18 mg/L, respectively. The resulting TSS maps revealed two distinct trends: a) elevated TSS levels were observed near discharge rivers, while lower concentrations were found in the vicinity of the dam; b) TSS during the wet season (averaging at 1.85 mg/L) were higher compared to those in the dry season (averaging at 0.75 mg/L). These findings highlight the efficacy of utilizing S2 satellite imagery as a valuable tool for accurately mapping TSS spatial distribution across the Hoa Binh Reservoir.

VNU Journal of Science Earth and Environmental Sciences
National Foundation for Science and Technology Development, Kurita Water and Environment Foundation
Life below water
Openalex Percentile: Top 49%
Groundwater and Watershed Analysis
0.21
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