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Chinese Academy of Sciences Institutional Repositories Grid
Exploration of Spatial Scaling Effects on Remote Sensing Phenology in the Qinghai-Tibetan Plateau Grassland

文献类型:期刊论文

作者Mao, Wenjiao1,2; Ge, Zhongxi1,2; Chen, Yuhan2,4; Tang, Bo-Hui1,2,3; Zhang, Zhen1,2; Huang, Liang1,2; Fan, Dong1,2; Zhu, Xinming1,2; Chen, Junyi1,2; Qu, Yanda1,2
刊名IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
出版日期2025
卷号18页码:15863-15875
关键词Vegetation mapping Enhanced vegetation index Phenology Remote sensing Grasslands Spatial resolution Earth Observing System Time series analysis Land surface Ecosystems Aggregation methods influence factors scaling effects vegetation phenology
ISSN号1939-1404
DOI10.1109/JSTARS.2025.3580572
产权排序4
文献子类Article
英文摘要Land surface phenology (LSP), a sensitive indicator of ecosystem reactions to climatic changes, plays a crucial role in exchanging materials between terrestrial ecosystems and the atmosphere. Previous studies have utilized various satellite datasets to investigate LSP. However, the phenological scaling effects across different spatial resolutions have not been comprehensively addressed and thoroughly researched. Therefore, we employed two methods (the average and percentile approaches) to aggregate the LSP of the Qinghai-Tibetan Plateau (QTP) grassland at 250 m resolution to 8 km and ecoregion division scales. Based on this, we analyzed the scaling effects of LSP in the QTP grassland. In addition, this study systematically analyzed factors that would influence the scaling effects. The findings showed that (1) the average absolute difference (AAD) for LSP (250 m) and LSP (8 km, division scale) obtained by the two methods was close. In most areas in the QTP grassland, the percentile approach generated AAD values smaller than the average approach. For pixel and division scales, the optimal aggregation percentile usually ranged from the 40th to 50th percentile instead of a single value; (2) whether in pixel or division scales, the AAD values of start of growing season were larger than those of end of growing season; (3) we also found that the terrain complexity exhibited the most significant influence on scaling effects; followed by altitude, vegetation growth/senescence speed and vegetation coverage; terrain slope and aspect had relatively little impact. The findings of this research helped enhance the understanding of the phenology scaling effects of grassland on the QTP.
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WOS关键词LAND-SURFACE PHENOLOGY ; VEGETATION AUTUMN PHENOLOGY ; SPRING PHENOLOGY ; TIME-SERIES ; LEAF PHENOLOGY ; CLIMATE-CHANGE ; MODIS DATA ; LANDSCAPE ; DYNAMICS ; TRENDS
WOS研究方向Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:001522931200003
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://ir.igsnrr.ac.cn/handle/311030/215342]  
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Ge, Zhongxi
作者单位1.Yunnan Prov Dept Educ, Key Lab Plateau Remote Sensing, Kunming 650093, Peoples R China;
2.Kunming Univ Sci & Technol, Fac Land Resource Engn, Kunming, Peoples R China;
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
4.West Yunnan Univ Appl Sci, Coll Further Educ, Dali 671009, Peoples R China;
推荐引用方式
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Mao, Wenjiao,Ge, Zhongxi,Chen, Yuhan,et al. Exploration of Spatial Scaling Effects on Remote Sensing Phenology in the Qinghai-Tibetan Plateau Grassland[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2025,18:15863-15875.
APA Mao, Wenjiao.,Ge, Zhongxi.,Chen, Yuhan.,Tang, Bo-Hui.,Zhang, Zhen.,...&Tang, Feng.(2025).Exploration of Spatial Scaling Effects on Remote Sensing Phenology in the Qinghai-Tibetan Plateau Grassland.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,18,15863-15875.
MLA Mao, Wenjiao,et al."Exploration of Spatial Scaling Effects on Remote Sensing Phenology in the Qinghai-Tibetan Plateau Grassland".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 18(2025):15863-15875.

入库方式: OAI收割

来源:地理科学与资源研究所

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