Development and Validation of a Robust Algorithm for Retrieving Aerosol Optical Depth Over Land From MODIS Data
文献类型：期刊论文
| 作者 | Huang, Guanghui1; Huang, Chunlin1; Li, Zhengqiang1; Chen, Hao1 |
| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
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| 出版日期 | 2015 |
| 卷号 | 8期号:3页码:524-526 |
| 关键词 | Aerosol model aerosol optical depth (AOD) aerosol robotic network (AERONET) Moderate Resolution Imaging Spectroradiometer (MODIS) quality assurance confidence (QAC) |
| 通讯作者 | Huang, GH (reprint author), Chinese Acad Sci, CAREERI, Lanzhou 730000, Peoples R China. |
| 英文摘要 | Due to the limitation of surface "dark-target," in some regions and over certain surface types, Moderate Resolution Imaging Spectroradiometer (MODIS) standard aerosol algorithm does not work very well. In this paper, we developed and validated a robust algorithm, which combines the revised minimum reflectance technique and the technique of the synergy of Terra and Aqua MODIS to eliminate the dependence on surface conditions. The rationale of our algorithm is to first identify the "clearest" day observations in certain temporal window, assume that the aerosol optical depth (AOD) does not change during the limited period (0-3 h) between Terra and Aqua overpass in this day, subsequently obtain the relationships between visible bands and 2.1 mu m band surface reflectance, and finally retrieve the AOD of all observations in the temporal window. The algorithm was validated using year 2006 measurements from 13 Aerosol Robotic Network (AERONET) sites distributed in North China, Central Asia, eastern United States, andWestern Europe. For AOD, 65.5% and 72.7% of retrievals within MOD04 expected error envelope for all levels of quality assurance confidence (QAC) and QAC = 3, respectively, R-2 of 0.87 and a less amount of gaps are found. In comparison to the MODIS aerosol products, the new algorithm on the whole shows similar accuracy over dark land surface, but gives a larger amount of retrievals over bright land surface. This indicates that the new algorithm can provide a more steady inversion for a variety of surface types. Especially over urban surface, such as Beijing in China, the inverted AOD is clearly better than that from MODIS aerosol products. Therefore, the new algorithm can provide an alternative way for AOD retrieving over regions where the standard dark target algorithm does not work well or higher spatial resolution is imperative. |
| 研究领域[WOS] | Engineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000352279200019 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38470]  |
| 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.[Huang, Guanghui 2.Huang, Chunlin] Chinese Acad Sci, CAREERI, Lanzhou 730000, Peoples R China 3.[Huang, Guanghui] Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China 4.[Huang, Chunlin] Key Lab Remote Sensing Gansu Prov, Lanzhou, Peoples R China 5.[Li, Zhengqiang] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Environm Protect Key Lab Satellite Remote S, Beijing 100101, Peoples R China 6.[Chen, Hao] Chinese Acad Sci, Key Lab Land Surface Proc & Climate Change Cold &, Lanzhou 730000, Peoples R China |
| 推荐引用方式 GB/T 7714 | Huang, Guanghui,Huang, Chunlin,Li, Zhengqiang,et al. Development and Validation of a Robust Algorithm for Retrieving Aerosol Optical Depth Over Land From MODIS Data[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2015,8(3):524-526. |
| APA | Huang, Guanghui,Huang, Chunlin,Li, Zhengqiang,&Chen, Hao.(2015).Development and Validation of a Robust Algorithm for Retrieving Aerosol Optical Depth Over Land From MODIS Data.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,8(3),524-526. |
| MLA | Huang, Guanghui,et al."Development and Validation of a Robust Algorithm for Retrieving Aerosol Optical Depth Over Land From MODIS Data".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 8.3(2015):524-526. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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