Observing the response of the land surface to climate variability by time series analysis of satellite observations
文献类型：期刊论文
| 作者 | Menenti, Massimo1; Jia, Li1 |
| 刊名 | Yaogan Xuebao/Journal of Remote Sensing
 |
| 出版日期 | 2016 |
| 卷号 | 20期号:5页码:946-957 |
| 通讯作者 | Jia, Li (jiali@radi.ac.cn) |
| 英文摘要 | Satellite observations of the terrestrial biosphere cover a period of time sufficiently extended to allow the calculation of a reliable climatology. The latter is particularly relevant for studies of vegetation response to climate variability. Observations from space of the land surface are hampered by clouds at shorter wavelength and affected by water in the atmosphere in the microwave range. Both polar orbiting and geostationary satellites have a revisit frequency high enough to allow for some redundancy relative to the processes being observed, so that time series where a fraction of observations are removed and the resulting gaps filled are still very useful to monitor land surface processes. We applied the Harmonic ANalysis of Time Series (HANTS) to identify and remove anomalous observations (outliers) and to fill the resulting gaps. The HANTS algorithm has been widely used to reconstruct time series of Normalized Difference Vegetation Index (NDVI), Leaf Area Index (LAI), Land Surface Temperature (LST) as well as the Polarization Difference Brightness Temperature (PDBT) during the past 30 years to remove random noise or eliminate cloud/snow contamination. Several studies in North and Southern Africa, South America, Europe, China and India captured the response of the land surface to climate forcing, modulated by water availability across a range of temporal scales from hourly to decennial. These studies are reviewed to illustrate how the analysis of time series of different land surface properties reveal processes and interactions. © 2016, Science Press. All right reserved. |
| 收录类别 | EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20164402965588 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39601]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 2.100101, China 3. Delft University of Technology, Delft 4.2628 CN, Netherlands |
| 推荐引用方式 GB/T 7714 | Menenti, Massimo,Jia, Li. Observing the response of the land surface to climate variability by time series analysis of satellite observations[J]. Yaogan Xuebao/Journal of Remote Sensing,2016,20(5):946-957. |
| APA | Menenti, Massimo,&Jia, Li.(2016).Observing the response of the land surface to climate variability by time series analysis of satellite observations.Yaogan Xuebao/Journal of Remote Sensing,20(5),946-957. |
| MLA | Menenti, Massimo,et al."Observing the response of the land surface to climate variability by time series analysis of satellite observations".Yaogan Xuebao/Journal of Remote Sensing 20.5(2016):946-957. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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