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DOI | 10.1089/ees.2016.0540 |
Statistical Model and Estimation of Inland Riverine Turbidity with Landsat 8 OLI Images: A Case Study | |
Shen, Xin; Feng, Qi | |
发表日期 | 2018 |
ISSN | 1092-8758 |
EISSN | 1557-9018 |
卷号 | 35期号:2 |
英文摘要 | The Landsat 8 Operational Land Imager (OLI) was investigated for its performance in monitoring dynamic riverine surface water turbidity. China's Hanjiang River, the largest tributary of the Yangtze River, was used as a case study. Field surveys conducted between April 2013 and January 2014 show a wide range of turbidity (15.8-130.2 nephelometric turbidity units). A practical exponential retrieval algorithm used in conjunction with OLI bands on Landsat 8 was developed to assess compatibility between satellite remote sensing reflectance and in situ measured data. Results obtained for the study area accurately match in situ data at most stations (R-2 > 0.90) for the validation phase. It was found that Landsat 8 OLI imagery can be used to estimate turbidity in inland riverine systems when a suitable retrieval algorithm is applied. In addition, algal blooms in the riverine system can be detected by OLI imagery. |
关键词 | algae bloomLandsat 8Hanjiang Riverriverine systemsturbidity |
学科领域 | Engineering; Environmental Sciences & Ecology |
语种 | 英语 |
WOS研究方向 | Engineering, Environmental ; Environmental Sciences |
来源期刊 | ENVIRONMENTAL ENGINEERING SCIENCE |
来源机构 | 中国科学院西北生态环境资源研究院 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/112007 |
作者单位 | Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan, Hubei, Peoples R China |
推荐引用方式 GB/T 7714 | Shen, Xin,Feng, Qi. Statistical Model and Estimation of Inland Riverine Turbidity with Landsat 8 OLI Images: A Case Study[J]. 中国科学院西北生态环境资源研究院,2018,35(2). |
APA | Shen, Xin,&Feng, Qi.(2018).Statistical Model and Estimation of Inland Riverine Turbidity with Landsat 8 OLI Images: A Case Study.ENVIRONMENTAL ENGINEERING SCIENCE,35(2). |
MLA | Shen, Xin,et al."Statistical Model and Estimation of Inland Riverine Turbidity with Landsat 8 OLI Images: A Case Study".ENVIRONMENTAL ENGINEERING SCIENCE 35.2(2018). |
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