Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/app9235151 |
The Potential of Multi- and HyperSpectral Air- and Spaceborne Sensors to Detect Crude Oil Hydrocarbon in Soils Long after a Contamination Event | |
Pelta, Ran; Ben-Dor, Eyal | |
通讯作者 | Pelta, Ran |
来源期刊 | APPLIED SCIENCES-BASEL
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EISSN | 2076-3417 |
出版年 | 2019 |
卷号 | 9期号:23 |
英文摘要 | Featured Application: Detection of terrestrial crude oil contamination using remote sensing. Crude oil contamination is hazardous to health, negatively impacts vital life sources, and causes land and ecological degradation. The basic premise of the prevalent spectroscopic analyses for detecting such contamination is that crude oil spectral features are observable in the spectrum. Such analyses, however, have failed to address instances where the expected spectral features are not visible in the spectrum. Hence, a more refined method was recently published, which accounts for such cases. This method was successfully applied to a hyperspectral image over an arid area long after a contamination event. This study aimed to determine whether that same method could be successfully applied using a variety of other operational and future instruments, both air- and spaceborne, with different spatial and spectral characteristics. To that end, a series of simulation experiments was performed, including various spectral and spatial resolutions. Quantitative and qualitative evaluations of the classification are reported. The results indicate that the hyperspectral information can be reduced to one-third of its original size, while maintaining high accuracy and a quality classification map. A ground sampling distance of 7.5 m seems to be the boundary of an acceptable classification outcome. The overall conclusion of this study was that the method is robust enough to perform under various spectral and spatial configurations. Therefore, it could be a promising tool to be integrated into environmental protection and resource management programs. |
英文关键词 | remote sensing petroleum hydrocarbon image processing hyperspectral imaging spectroscopy soil degradation crude oil satellite application |
类型 | Article |
语种 | 英语 |
国家 | Israel |
开放获取类型 | gold |
收录类别 | SCI-E |
WOS记录号 | WOS:000509476600173 |
WOS关键词 | DETECTION LIMIT ; MISSION |
WOS类目 | Chemistry, Multidisciplinary ; Engineering, Multidisciplinary ; Materials Science, Multidisciplinary ; Physics, Applied |
WOS研究方向 | Chemistry ; Engineering ; Materials Science ; Physics |
EI主题词 | 2019-12-01 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/311245 |
作者单位 | Tel Aviv Univ, Fac Exact Sci, Porter Sch Environm & Earth Sci, IL-6697801 Tel Aviv, Israel |
推荐引用方式 GB/T 7714 | Pelta, Ran,Ben-Dor, Eyal. The Potential of Multi- and HyperSpectral Air- and Spaceborne Sensors to Detect Crude Oil Hydrocarbon in Soils Long after a Contamination Event[J],2019,9(23). |
APA | Pelta, Ran,&Ben-Dor, Eyal.(2019).The Potential of Multi- and HyperSpectral Air- and Spaceborne Sensors to Detect Crude Oil Hydrocarbon in Soils Long after a Contamination Event.APPLIED SCIENCES-BASEL,9(23). |
MLA | Pelta, Ran,et al."The Potential of Multi- and HyperSpectral Air- and Spaceborne Sensors to Detect Crude Oil Hydrocarbon in Soils Long after a Contamination Event".APPLIED SCIENCES-BASEL 9.23(2019). |
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