New Automated Method for Extracting River Information Using Optimized Spectral Threshold Water Index | |
Chaojun Li; Shijie Wang![]() ![]() | |
2019 | |
Source Publication | Arabian Journal of Geosciences
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Pages | 1-13 |
Abstract | The accurate extraction of mountain river information is highly significant in water resource investigation and ecological environment protection. However, there are some problems in the existing methods of river information extraction, which are mainly the interference from shadows and buildings. Such interference leads to erroneous and redundant extraction of river information, which leads to inaccuracy or incompleteness. In this study, a precise extraction method of mountain river information is established using Landsat8 image and digital elevation model. The main steps of the river extraction method are as follows: (1) we propose the optimized spectral threshold water index to extract river information; (2) based on digital elevation model data, we simulate the mountain shadows of the study area to remove interference from them; (3) we establish the buffer zone of the river network using digital elevation model data to solve the problem of redundant extraction of river information; (4) we separately calculate and then standardize land surface temperature, albedo, and normalized different building index. The effects of buildings near the river are removed. Results show a relative accuracy of 97.52%. The new method decreases the interference of mountain shadows and buildings. |
Keyword | Landsat8 digital Elevation Model mountain Shadow river Buffer Zone building Removal |
Indexed By | SCI |
Language | 英语 |
Document Type | 期刊论文 |
Identifier | http://ir.gyig.ac.cn/handle/42920512-1/10535 |
Collection | 环境地球化学国家重点实验室 |
Affiliation | 1.State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, 99 Lincheng West Road, Guiyang 550081, Guizhou Province, People’s Republic of China 2.School of Geography and Environmental Sciences, Guizhou Normal University, Guiyang 550081, China 3.Puding Karst Ecosystem Observation and Research Station, Chinese Academy of Sciences, Puding 562100, Guizhou Province, People’s Republic of China |
Recommended Citation GB/T 7714 | Chaojun Li,Shijie Wang,Xiaoyong Bai,et al. New Automated Method for Extracting River Information Using Optimized Spectral Threshold Water Index[J]. Arabian Journal of Geosciences,2019:1-13. |
APA | Chaojun Li.,Shijie Wang.,Xiaoyong Bai.,Qiu Tan.,Yujie Yang.,...&Qian Lu.(2019).New Automated Method for Extracting River Information Using Optimized Spectral Threshold Water Index.Arabian Journal of Geosciences,1-13. |
MLA | Chaojun Li,et al."New Automated Method for Extracting River Information Using Optimized Spectral Threshold Water Index".Arabian Journal of Geosciences (2019):1-13. |
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New automated method(13716KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | View Application Full Text |
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