Spatiotemporal variation of spring phenology and the corresponding scale effects and uncertainties: A case study in southwestern China
文献类型：期刊论文
| 作者 | Zhu, Chongjing2; She, Xiaojun2; Gao, Xiaojie3; Huang, Yajun2; Zeng, Yelu4; Ding, Chao1; Fu, Dongjie5; Shao, Jing6; Li, Yao2 |
| 刊名 | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
 |
| 出版日期 | 2024-12-01 |
| 卷号 | 135页码:11 |
| 关键词 | Vegetation phenology Remote sensing Land surface phenology Scale effect Spatiotemporal dynamics |
| ISSN号 | 1569-8432 |
| DOI | 10.1016/j.jag.2024.104294 |
| 产权排序 | 5 |
| 英文摘要 | Understanding terrestrial vegetation phenology-the timing of life-cycle events-is crucial for insights into ecosystem energy and material cycles. Land surface phenology (LSP) derived from satellite observations has become a critical tool for tracking vegetation phenology across large spatial scales. However, LSP data from coarse spatial resolutions often mix phenological signals from multiple land cover types, a limitation that fineresolution satellite data can help overcome. Recent studies indicate that spring phenology derived from the 500-m Moderate Resolution Imaging Spectroradiometer (MODIS) data tends to be biased earlier than that from the 30-m Landsat data due to scale effects. The extent of this bias across other satellite sensors and its impact on long-term phenological trends remains unclear. Additionally, few studies have used medium- to high-resolution LSP data to investigate southwestern China, partly due to limited data availability, which may exacerbate uncertainties related to scale effects in LSP observations. To address these gaps, we selected Jinfo Mountain in southwestern China-a region with high spatial heterogeneity-to analyze the spatiotemporal patterns of spring phenology and examine associated scale effects and uncertainties. We applied two phenology retrieval methods to multi-resolution LSP data from various sensors: 30-m Landsat (1984-2023), 250-m MODIS (2002-2021), 500m MODIS (2000-2023), 1-km SPOT (1999-2019), and 8-km AVHRR (1982-2022). Our findings revealed that all sensors consistently captured the spatial patterns of spring phenology, indicating an advancing trend of 6-8 days per decade, though the trend's magnitude varied notably across sensors. Data quality, rather than retrieval methods, emerged as the primary source of uncertainty in characterizing phenological dynamics, with elevation contributing significantly to bias due to its negative correlation with the number of available clear observations. Moreover, we found that the MODIS-Landsat bias in spring phenology may not generalize across other coarse-tofine LSP comparisons. This study provides valuable insights into phenology in the understudied region of southwestern China, highlighting the importance of spatial resolution and sensor characteristics for accurate plant phenology mapping and monitoring. |
| WOS关键词 | LAND-SURFACE PHENOLOGY ; VEGETATION INDEX ; TIME-SERIES ; INTERANNUAL VARIATION ; SPATIAL-RESOLUTION ; MODIS ; FOREST ; AVHRR ; SEASON ; PRODUCTIVITY |
| 资助项目 | Chongqing Municipal Science and Technology Bureau, China[cstc2024ycjh-bgzxm0043] |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:001373719600001 |
| 出版者 | ELSEVIER |
| 资助机构 | Chongqing Municipal Science and Technology Bureau, China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/211660]  |
| 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 | Gao, Xiaojie; Li, Yao |
| 作者单位 | 1.Beijing Normal Univ, Fac Arts & Sci, Dept Geog Sci, Zhuhai 519087, Peoples R China 2.Southwest Univ, Chongqing Engn Res Ctr Remote Sensing Big Data App, Sch Geog Sci, Chongqing Jinfo Mt Karst Ecosyst Natl Observat & R, Chongqing 400715, Peoples R China 3.Harvard Univ, Harvard Forest, Petersham, MA 01366 USA 4.China Agr Univ, Coll Land Sci & Technol, Beijing 100083, Peoples R China 5.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 6.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhu, Chongjing,She, Xiaojun,Gao, Xiaojie,et al. Spatiotemporal variation of spring phenology and the corresponding scale effects and uncertainties: A case study in southwestern China[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2024,135:11. |
| APA | Zhu, Chongjing.,She, Xiaojun.,Gao, Xiaojie.,Huang, Yajun.,Zeng, Yelu.,...&Li, Yao.(2024).Spatiotemporal variation of spring phenology and the corresponding scale effects and uncertainties: A case study in southwestern China.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,135,11. |
| MLA | Zhu, Chongjing,et al."Spatiotemporal variation of spring phenology and the corresponding scale effects and uncertainties: A case study in southwestern China".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 135(2024):11. |
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。