Haze spectral analysis and detection algorithm using satellite remote sensing data
文献类型：期刊论文
| 作者 | Ge, Wei1; Chen, Liang-Fu1; Si, Yi-Dan1; Ge, Qiang1; Fan, Meng1; Li, Shen-Shen1 |
| 刊名 | Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis
 |
| 出版日期 | 2016 |
| 卷号 | 36期号:12页码:3817-3824 |
| 关键词 | PLATEAU |
| 通讯作者 | Li, Shen-Shen (lishenshen@126.com) |
| 英文摘要 | Frequent occurring of haze pollution events and high fine particulate matter (PM2.5) concentration in China have attracted more and more attention in the world. Satellite remote sensing can be used to characterize the air pollution. However, haze is usually misidentified as fog, thin cloud or bright surface in NASA's Moderate Resolution Imaging Spectrometer (MODIS) cloud and clear days' aerosol products, and the retrieval of its optical properties is not included in MODIS cloud detection and dark target algorithm. This approach first studies the spectral characters of cloud, fog, haze, and land cover pixels. Second, following the previous cloud detection and aerosol retrieval literatures, a threshold algorithm is developed to distinguish haze from other pixels based on MODIS multi-band apparent reflectance and brightness temperature. This algorithm is used to detect the haze distribution over North China Plain in 2008 spring and summer. Our result shows a good agreement with the true-color satellite images, which enhances MODIS's ability to monitor the severe air pollution episodes. In addition, the high AOD data from Beijing and Xiang Aerosol Robotic NETwork (AERONET) sites indicate nearly 80% haze days are detected by our approach. Finally, we analyze the errors and uncertainties in haze detection algorithm, and put forward the potential improvements. © 2016, Peking University Press. All right reserved. |
| 学科主题 | Spectroscopy |
| 类目[WOS] | Spectroscopy |
| 收录类别 | SCI ; EI |
| 语种 | 中文 |
| WOS记录号 | WOS:20165103158509 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39404]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth of Chinese Academy, Beijing 2.100101, China 3. Computer and Information Engineering College, Henan University, Kaifeng 4.475004, China |
| 推荐引用方式 GB/T 7714 | Ge, Wei,Chen, Liang-Fu,Si, Yi-Dan,et al. Haze spectral analysis and detection algorithm using satellite remote sensing data[J]. Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis,2016,36(12):3817-3824. |
| APA | Ge, Wei,Chen, Liang-Fu,Si, Yi-Dan,Ge, Qiang,Fan, Meng,&Li, Shen-Shen.(2016).Haze spectral analysis and detection algorithm using satellite remote sensing data.Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis,36(12),3817-3824. |
| MLA | Ge, Wei,et al."Haze spectral analysis and detection algorithm using satellite remote sensing data".Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis 36.12(2016):3817-3824. |
入库方式： OAI收割
来源：遥感与数字地球研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。