Exploring the Applicability and Scaling Effects of Satellite-Observed Spring and Autumn Phenology in Complex Terrain Regions Using Four Different Spatial Resolution Products
文献类型：期刊论文
| 作者 | Chen, Fangxin2; Liu, Zhengjia2,3,4; Zhong, Huimin2,3; Wang, Sisi1 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2021-11-01 |
| 卷号 | 13期号:22页码:19 |
| 关键词 | land surface phenology data suitability satellite data spatial scaling effects the Loess Plateau |
| DOI | 10.3390/rs13224582 |
| 通讯作者 | Liu, Zhengjia(liuzj@igsnrr.ac.cn) |
| 英文摘要 | The information on land surface phenology (LSP) was extracted from remote sensing data in many studies. However, few studies have evaluated the impacts of satellite products with different spatial resolutions on LSP extraction over regions with a heterogeneous topography. To bridge this knowledge gap, this study took the Loess Plateau as an example region and employed four types of satellite data with different spatial resolutions (250, 500, and 1000 m MODIS NDVI during the period 2001-2020 and ~10 km GIMMS3g during the period 1982-2015) to investigate the LSP changes that took place. We used the correlation coefficient (r) and root mean square error (RMSE) to evaluate the performances of various satellite products and further analyzed the applicability of the four satellite products. Our results showed that the MODIS-based start of the growing season (SOS) and end of the growing season (EOS) were highly correlated with the ground-observed data with r values of 0.82 and 0.79, respectively (p < 0.01), while the GIMMS3g-based phenology signal performed badly (r < 0.50 and p > 0.05). Spatially, the LSP that was derived from the MODIS products produced more reasonable spatial distributions. The inter-annual averaged MODIS SOS and EOS presented overall advanced and delayed trends during the period 2001-2020, respectively. More than two-thirds of the SOS advances and EOS delays occurred in grasslands, which determined the overall phenological changes across the entire Loess Plateau. However, both inter-annual trends of SOS and EOS derived from the GIMMS3g data were opposite to those seen in the MODIS results. There were no significant differences among the three MODIS datasets (250, 500, and 1000 m) with regard to a bias lower than 2 days, RMSE lower than 1 day, and correlation coefficient greater than 0.95 (p < 0.01). Furthermore, it was found that the phenology that was derived from the data with a 1000 m spatial resolution in the heterogeneous topography regions was feasible. Yet, in forest ecosystems and areas with an accumulated temperature & GE;10 & DEG;C, the differences in phenological phase between the MODIS products could be amplified. |
| WOS关键词 | LAND-SURFACE PHENOLOGY ; TIME-SERIES DATA ; VEGETATION PHENOLOGY ; CLIMATE-CHANGE ; PLANT PHENOLOGY ; TIBETAN PLATEAU ; LOESS PLATEAU ; MODIS DATA ; CHINA ; TRENDS |
| 资助项目 | National Key Research and Development Program of China[2017YFC0504701] ; National Natural Science Foundation of China[41601582] ; National Natural Science Foundation of China[41971218] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23070302] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA28130400] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000724885000001 |
| 出版者 | MDPI |
| 资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/168321]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liu, Zhengjia |
| 作者单位 | 1.Natl Remote Sensing Ctr China, Beijing 100036, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Fangxin,Liu, Zhengjia,Zhong, Huimin,et al. Exploring the Applicability and Scaling Effects of Satellite-Observed Spring and Autumn Phenology in Complex Terrain Regions Using Four Different Spatial Resolution Products[J]. REMOTE SENSING,2021,13(22):19. |
| APA | Chen, Fangxin,Liu, Zhengjia,Zhong, Huimin,&Wang, Sisi.(2021).Exploring the Applicability and Scaling Effects of Satellite-Observed Spring and Autumn Phenology in Complex Terrain Regions Using Four Different Spatial Resolution Products.REMOTE SENSING,13(22),19. |
| MLA | Chen, Fangxin,et al."Exploring the Applicability and Scaling Effects of Satellite-Observed Spring and Autumn Phenology in Complex Terrain Regions Using Four Different Spatial Resolution Products".REMOTE SENSING 13.22(2021):19. |
入库方式： OAI收割
来源：地理科学与资源研究所
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