Academic Journal
Scene- and pixel-level analysis of Landsat cloud coverage and image acquisition probability in South and Southeast Asia
| العنوان: | Scene- and pixel-level analysis of Landsat cloud coverage and image acquisition probability in South and Southeast Asia |
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| المؤلفون: | Yin Yang, Peng Li |
| المصدر: | International Journal of Applied Earth Observations and Geoinformation, Vol 123, Iss , Pp 103477- (2023) |
| بيانات النشر: | Elsevier, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Physical geography LCC:Environmental sciences |
| مصطلحات موضوعية: | Landsat, Cloud coverage, Image acquisition probability, Coarse-and-fine thresholding, Scene- and pixel-level, South and Southeast Asia, Physical geography, GB3-5030, Environmental sciences, GE1-350 |
| الوصف: | Landsat has provided over five-decade Earth’s observations including cloud cover (CC). However, scene-wide and/or pixel-level research on CC and image acquisition probability (IAP) still lags much behind. Scene-based analysis is often reported with arbitrary thresholds, while mechanism of cloud probability (CP) dynamics remains poorly investigated. Understanding Landsat cloud climatology is critical for better utilizing historical archives especially in the tropics. Here, South and Southeast Asia (SSEA) was selected to investigate the potential of a coarse-and-fine thresholding (CAFT) method in determining appropriate threshold of CC with all available Landsat-4/5/7/8 Thematic Mapper (TM), Enhanced TM Plus (ETM+), and Operational Land Imager (OLI) scenes (a total of 691,919) during 1984–2022. Then, OLI-based pixel CP was further examined, followed by correlation analysis between CC and climatic variables (i.e., temperature and precipitation). Main conclusions include: (1) the CAFT method holds promising potential in determining the precise CC threshold (24%) in SSEA. (2) Landsat IAP (nearly 40%) and CP (about 36%) show significant monthly, regional, and sensor variations across SSEA. (3) ETM+ performs the best with the highest IAP (>45%), while OLI tends to have larger IAPs in persistently cloudy area. (4) Significant correlation between CP and precipitation or temperature indicates that the roles of climate variables on CC differ geographically in South Asia and Southeast Asia. This study contributes to developing a universal and simple method to determine optimal thresholds for global CC research and understanding the interaction between CC and climate change. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1569-8432 |
| Relation: | http://www.sciencedirect.com/science/article/pii/S1569843223003011; https://doaj.org/toc/1569-8432 |
| DOI: | 10.1016/j.jag.2023.103477 |
| URL الوصول: | https://doaj.org/article/bc5ffcd0616e4f13b7fd9c9d65480bb2 |
| رقم الانضمام: | edsdoj.bc5ffcd0616e4f13b7fd9c9d65480bb2 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 15698432 |
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| DOI: | 10.1016/j.jag.2023.103477 |