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| DOI | 10.3390/f15030553 |
| The Impact of Quality Control Methods on Vegetation Monitoring Using MODIS FPAR Time Series | |
| 发表日期 | 2024 |
| EISSN | 1999-4907 |
| 起始页码 | 15 |
| 结束页码 | 3 |
| 卷号 | 15期号:3 |
| 英文摘要 | Monitoring vegetation dynamics (VD) is crucial for environmental protection, climate change research, and understanding carbon and water cycles. Remote sensing is an effective method for large-scale and long-term VD monitoring, but it faces challenges due to changing data uncertainties caused by various factors, including observational conditions. Previous studies have demonstrated the significance of implementing proper quality control (QC) of remote sensing data for accurate vegetation monitoring. However, the impact of different QC methods on VD results (magnitude and trend) has not been thoroughly studied. The fraction of absorbed photosynthetically active radiation (FPAR) characterizes the energy absorption capacity of the vegetation canopy and is widely used in VD monitoring. In this study, we investigated the effect of QC methods on vegetation monitoring using a 20-year MODIS FPAR time series. The results showed several important findings. Firstly, we observed that the Mixed-QC (no QC on the algorithm path) generally produced a lower average FPAR during the growing season compared to Main-QC (only using the main algorithm). Additionally, the Mixed-QC FPAR showed a very consistent interannual trend with the Main-QC FPAR over the period 2002-2021 (p < 0.05). Finally, we found that using only the main algorithm for QC generally reduced the trend magnitude (p < 0.1), particularly in forests. These results reveal differences in FPAR values between the two QC methods. However, the interannual FPAR trends demonstrate greater consistency. In conclusion, this study offers a case study on evaluating the influence of different QC methods on VD monitoring. It suggests that while different QC methods may result in different magnitudes of vegetation dynamics, their impact on the time series trends is limited. |
| 英文关键词 | vegetation dynamic (VD); fraction of absorbed photosynthetically active radiation (FPAR); trend analysis; MODIS; quality control (QC) |
| 语种 | 英语 |
| WOS研究方向 | Forestry |
| WOS类目 | Forestry |
| WOS记录号 | WOS:001191954200001 |
| 来源期刊 | FORESTS
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/290243 |
| 作者单位 | Beijing Normal University; China University of Geosciences; China University of Geosciences |
| 推荐引用方式 GB/T 7714 | . The Impact of Quality Control Methods on Vegetation Monitoring Using MODIS FPAR Time Series[J],2024,15(3). |
| APA | (2024).The Impact of Quality Control Methods on Vegetation Monitoring Using MODIS FPAR Time Series.FORESTS,15(3). |
| MLA | "The Impact of Quality Control Methods on Vegetation Monitoring Using MODIS FPAR Time Series".FORESTS 15.3(2024). |
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