The Influence of Underlying Land Cover on the Accuracy of MODIS C6.1 Aerosol Products-A Case Study over the Yangtze River Delta Region of China
文献类型：期刊论文
| 作者 | Sun, Kun1; Gao, Yang1,2; Qi, Bing3; Yu, Zhifeng4,5,6 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2022-02-01 |
| 卷号 | 14期号:4页码:18 |
| 关键词 | Yangtze River Delta aerosol optical depth validation MODIS sun photometer land cover |
| DOI | 10.3390/rs14040938 |
| 通讯作者 | Yu, Zhifeng(yu@hznu.edu.cn) |
| 英文摘要 | Due to the significant spatial variation of the performance of Moderate Resolution Imaging Spectrometer (MODIS) aerosol optical depth (AOD) retrievals, validation is very important for applications of MODIS AOD products at regional scales. This study presents a comparative analysis of Collection 6.1 MODIS AOD retrievals and ground measurements from five local sites and one Aerosol Robotic Network (AERONET) site in the Yangtze River Delta (YRD) region, which significantly complements the previous validation that utilized limited AERONET measurements. Generally, MODIS AOD retrievals showed a reasonable agreement with collocated ground measurements (R-2 > 0.7), with 66% of Dark Target (DT) 10 km retrievals, 56% of Deep Blue (DB) 10 km retrievals, and 69% of DT 3 km retrievals falling within the expected error (EE = +/-(0.05 + 0.2 x AOD)). Nevertheless, it was found that the DT AOD retrievals tended to be overestimated over urbanized and lakeside sites, while the DB AOD retrievals tended to be underestimated over all ground sites except for lakeside sites. Such patterns appeared to be linked with the systematic biases of the single-scattering albedo estimation in the AOD retrieval algorithms. Another significant finding of this study is that the uncertainties of the MODIS AOD retrievals were highly correlated with the land cover proportions of urbanized features and water (LCP_UW) in the surrounding region, especially for the DT products. An empirical correction method based on these correlations could substantially reduce the uncertainties of DT AOD products over high LCP_UW areas. The results not only highlight the significant impacts of both urban and water areas on the MODIS AOD retrieval algorithms but also create new possibilities to correct such impacts once the universal correlations between LCP_UW and the uncertainty measures are established. |
| WOS关键词 | OPTICAL DEPTH ; AIR-QUALITY ; ATMOSPHERIC CORRECTION ; PM2.5 CONCENTRATIONS ; VALIDATION ; RESOLUTION ; RETRIEVAL ; ALGORITHM ; AERONET ; TRENDS |
| 资助项目 | National Nature Science Foundation of China[42141015] ; Key Laboratory of Marine Ecological Conservation and Restoration ; Ministry of Natural Resources/Fujian Provincial Key Laboratory of Marine Ecological Conservation and Restoration[EPR2021005] ; Agriculture and Social Development Research Project of Hangzhou[20201203B155] ; Key Project of Science and Technology Plan of Zhejiang Meteorological Bureau[2021ZD13] ; Zhejiang Provincial Basic Public Welfare Research Project[LGF22D050004] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000765163100001 |
| 出版者 | MDPI |
| 资助机构 | National Nature Science Foundation of China ; Key Laboratory of Marine Ecological Conservation and Restoration ; Ministry of Natural Resources/Fujian Provincial Key Laboratory of Marine Ecological Conservation and Restoration ; Agriculture and Social Development Research Project of Hangzhou ; Key Project of Science and Technology Plan of Zhejiang Meteorological Bureau ; Zhejiang Provincial Basic Public Welfare Research Project |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/171859]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yu, Zhifeng |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosystem Network Observat & Modeling, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Hangzhou Meteorol Bur, Hangzhou 310051, Peoples R China 4.Hangzhou Normal Univ, Inst Remote Sensing & Earth Sci, Hangzhou 311121, Peoples R China 5.Ohio State Univ, Sch Earth Sci, Div Geodet Sci, Columbus, OH 43210 USA 6.Zhejiang Prov Key Lab Urban Wetlands & Reg Change, Hangzhou 311121, Peoples R China |
| 推荐引用方式 GB/T 7714 | Sun, Kun,Gao, Yang,Qi, Bing,et al. The Influence of Underlying Land Cover on the Accuracy of MODIS C6.1 Aerosol Products-A Case Study over the Yangtze River Delta Region of China[J]. REMOTE SENSING,2022,14(4):18. |
| APA | Sun, Kun,Gao, Yang,Qi, Bing,&Yu, Zhifeng.(2022).The Influence of Underlying Land Cover on the Accuracy of MODIS C6.1 Aerosol Products-A Case Study over the Yangtze River Delta Region of China.REMOTE SENSING,14(4),18. |
| MLA | Sun, Kun,et al."The Influence of Underlying Land Cover on the Accuracy of MODIS C6.1 Aerosol Products-A Case Study over the Yangtze River Delta Region of China".REMOTE SENSING 14.4(2022):18. |
入库方式： OAI收割
来源：地理科学与资源研究所
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。