Global Landsat image acquisition probability: 1984-2023
文献类型：期刊论文
| 作者 | Yang, Yin2,3; Li, Peng2,3; Feng, Zhiming2,3; Rai, Suresh Chand4; Yang, Hong1 |
| 刊名 | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
 |
| 出版日期 | 2025-11-01 |
| 卷号 | 144页码:104928 |
| 关键词 | Landsat Scene cloud cover Image acquisition probability Coarse-and-fine thresholding Global threshold |
| ISSN号 | 1569-8432 |
| DOI | 10.1016/j.jag.2025.104928 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Cloud cover affects and reacts to climate change, and it obstructs optical observations. Despite the existence of historical Landsat scene cloud cover data, the image acquisition probability (IAP) of global Landsat has not yet been examined under a universal cloud cover threshold. The recently proposed coarse-and-fine thresholding (CAFT) method, designed to minimize cloud interference while optimizing imaging supply, shows potential for establishing such a threshold for studying sub-continental IAPs. Nevertheless, the CAFT's feasibility and effectiveness in establishing a worldwide threshold have not been evaluated. With the 1984-2023 scene cloud cover of global (excluding Antarctica) Landsat-5/7/8 Thematic Mapper (TM), Enhanced TM Plus (ETM+), and Operational Land Imager (OLI) imagery (nearly six million), we explored a universal threshold among six continents using CAFT to derive global annual IAPs and then examined their geographic, temporal, and senorbased variations. We concluded that the pre-defined 24% can be a globally applicable threshold and the 40year benchmarking IAP of global Landsat is estimated to be nearly 45%. ETM+ has higher global average IAPs (>47%) compared to OLI (45%) and TM (43%). Monthly and annual IAP variations are more pronounced at continental scales, with the highest in Africa and the lowest in Europe. Notably, climate explains the latitudinal and temporal differences, showing higher and lower IAPs in the Arid and Polar climate zones, respectively. Through the evaluation of Landsat 40-year scene cloud cover, this study provides a comprehensive understanding of global IAPs and suggests the necessity to examine the dynamics and mechanisms of pixel-based cloud cover. |
| URL标识 | 查看原文 |
| WOS关键词 | CLOUD-COVER ; AVAILABILITY ; SCIENCE ; CIRCULATION ; MISSION ; RECORD ; EARTH ; PLAN |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:001608555700002 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/217764]  |
| 专题 | 资源利用与环境修复重点实验室_外文论文 |
| 通讯作者 | Li, Peng |
| 作者单位 | 1.Natl Univ Def Technol, Coll Meteorol & Oceanog, Changsha 410073, Peoples R China 2.Inst Geog Sci & Nat Resources Res, Chinese Acad Sci, 11A Datun Rd, Beijing 100101, Peoples R China; 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China; 4.Univ Delhi, Delhi Sch Econ, Dept Geog, Delhi 110007, India; |
| 推荐引用方式 GB/T 7714 | Yang, Yin,Li, Peng,Feng, Zhiming,et al. Global Landsat image acquisition probability: 1984-2023[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2025,144:104928. |
| APA | Yang, Yin,Li, Peng,Feng, Zhiming,Rai, Suresh Chand,&Yang, Hong.(2025).Global Landsat image acquisition probability: 1984-2023.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,144,104928. |
| MLA | Yang, Yin,et al."Global Landsat image acquisition probability: 1984-2023".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 144(2025):104928. |
入库方式： OAI收割
来源：地理科学与资源研究所
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