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| DOI | 10.1007/s10661-024-12554-w |
| Chlorophyll-a unveiled: unlocking reservoir insights through remote sensing in a subtropical reservoir | |
| 发表日期 | 2024 |
| ISSN | 0167-6369 |
| EISSN | 1573-2959 |
| 起始页码 | 196 |
| 结束页码 | 4 |
| 卷号 | 196期号:4 |
| 英文摘要 | Effective water resources management and monitoring are essential amid increasing challenges posed by population growth, industrialization, urbanization, and climate change. Earth observation techniques offer promising opportunities to enhance water resources management and support informed decision-making. This study utilizes Landsat-8 OLI and Sentinel-2 MSI satellite data to estimate chlorophyl-a (chl-a) concentrations in the Nandoni reservoir, Thohoyandou, South Africa. The study estimated chl-a concentrations using random forest models with spectral bands only, spectral indices only (blue difference absorption (BDA), fluorescence line height in the violet region (FLH_violet), and normalized difference chlorophyll index (NDCI)), and combined spectral bands and spectral indices. The results showed that the models using spectral bands from both Landsat-8 OLI and Sentinel-2 MSI performed comparably. The model using Sentinel-2 MSI had a higher accuracy of estimating chl-a when spectral bands alone were used. Sentinel-2 MSI's additional red-edge spectral bands provided a notable advantage in capturing subtle variations in chl-a concentrations. Lastly, the -chl-a concentration was higher at the edges of the Nandoni reservoir and closer to the reservoir wall. The findings of this study are crucial for improving the management of water reservoirs, enabling proactive decision-making, and supporting sustainable water resource management practices. Ultimately, this research contributes to the broader understanding of the application of earth observation techniques for water resources management, providing valuable information for policymakers and water authorities. |
| 英文关键词 | Water resource management; Chlorophyll-a; Nandoni Reservoir; Water quality; Spectral bands; Spectral indices |
| 语种 | 英语 |
| WOS研究方向 | Environmental Sciences & Ecology |
| WOS类目 | Environmental Sciences |
| WOS记录号 | WOS:001195496600001 |
| 来源期刊 | ENVIRONMENTAL MONITORING AND ASSESSMENT
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/297918 |
| 作者单位 | University of the Western Cape; University of Venda; National Research Foundation - South Africa; South African Institute for Aquatic Biodiversity; Stellenbosch University |
| 推荐引用方式 GB/T 7714 | . Chlorophyll-a unveiled: unlocking reservoir insights through remote sensing in a subtropical reservoir[J],2024,196(4). |
| APA | (2024).Chlorophyll-a unveiled: unlocking reservoir insights through remote sensing in a subtropical reservoir.ENVIRONMENTAL MONITORING AND ASSESSMENT,196(4). |
| MLA | "Chlorophyll-a unveiled: unlocking reservoir insights through remote sensing in a subtropical reservoir".ENVIRONMENTAL MONITORING AND ASSESSMENT 196.4(2024). |
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