Evaluation of five atmospheric correction algorithms for multispectral remote sensing data over plateau lake
文献类型：期刊论文
| 作者 | Wang, Dong1,3,4; Tang, Bo-Hui1,2,3,4; Li, Zhao-Liang1,5 |
| 刊名 | ECOLOGICAL INFORMATICS
 |
| 出版日期 | 2024-09-01 |
| 卷号 | 82页码:13 |
| 关键词 | Atmospheric correction (AC) Remote sensing reflectance Satellite Plateau lake (PL) |
| ISSN号 | 1574-9541 |
| DOI | 10.1016/j.ecoinf.2024.102666 |
| 英文摘要 | The precise correction of atmospheric effects is essential for the accurate analysis of inland water color from remote sensing (RS) data. This study systematically evaluates the efficacy of five atmospheric correction (AC) algorithms -Acolite, C2RCC, FLAASH, iCOR, and L2gen -when applied to Sentinel -2 Multi Spectral Instrument (MSI) and Sentinel -3 Ocean and Land Color Instrument (OLCI) imagery. The performance of these algorithms is scrutinized across different spectral bands and spatial resolutions, with a focus on their suitability for water body AC. Our validation approach primarily focuses on the spatial arrangement of sampling points and the timeliness of the collected data. The results reveal that Acolite demonstrates superior performance in the red band of MSI data, whereas C2RCC exhibits inconsistencies in the blue and green bands. FLAASH stands out in its handling of OLCI data, although iCOR exhibits sensitivity to resolution, resulting in over -correction in lower resolution scenarios. L2gen is noted for its consistent provision of concentrated data amplitude across the board. The findings, graphically represented through a radar chart, are pivotal for guiding the selection of optimal AC algorithms for the visible spectrum, thereby enhancing the accuracy of RS applications in environmental monitoring and research. Additionally, our study highlights the impact of sampling time differences on the AC spectrum, with variations of approximately 3% observed for a single sensor. This underscores the critical need for temporal consistency in field measurements. |
| WOS关键词 | AEROSOL OPTICAL-THICKNESS ; IN-SITU ; COASTAL ; INLAND ; SEAWIFS ; REFLECTANCE ; RETRIEVAL ; MODIS ; VALIDATION ; SENTINEL-2 |
| 资助项目 | National Natural Science Foundation of China[42230109] ; Yunling Scholar Project of the Xingdian Talent Support Program of Yunnan Province[202221002] ; Platform Construction Project of High Level Talent in the Kunming University of Science and Technology (KUST)[7202221001] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001251557000001 |
| 出版者 | ELSEVIER |
| 资助机构 | National Natural Science Foundation of China ; Yunling Scholar Project of the Xingdian Talent Support Program of Yunnan Province ; Platform Construction Project of High Level Talent in the Kunming University of Science and Technology (KUST) |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/206398]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Tang, Bo-Hui |
| 作者单位 | 1.Southwest United Grad Sch, Kunming 650092, Peoples R China 2.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Kunming Univ Sci & Technol, Fac Land Resources Engn, Kunming 650093, Peoples R China 4.Dept Educ Yunnan Prov, Key Lab Plateau Remote Sensing, Kunming 650093, Peoples R China 5.Chinese Acad Agr Sci, Key Lab Agr Remote Sensing, Minist Agr & Rural Affairs, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Dong,Tang, Bo-Hui,Li, Zhao-Liang. Evaluation of five atmospheric correction algorithms for multispectral remote sensing data over plateau lake[J]. ECOLOGICAL INFORMATICS,2024,82:13. |
| APA | Wang, Dong,Tang, Bo-Hui,&Li, Zhao-Liang.(2024).Evaluation of five atmospheric correction algorithms for multispectral remote sensing data over plateau lake.ECOLOGICAL INFORMATICS,82,13. |
| MLA | Wang, Dong,et al."Evaluation of five atmospheric correction algorithms for multispectral remote sensing data over plateau lake".ECOLOGICAL INFORMATICS 82(2024):13. |
入库方式： OAI收割
来源：地理科学与资源研究所
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