Drought Monitoring from Fengyun Satellite Series: A Comparative Analysis with Meteorological-Drought Composite Index (MCI)
文献类型：期刊论文
| 作者 | Feng, Aiqing; Liu, Lulu3; Wang, Guofu; Tang, Jian4; Zhang, Xuejun1; Chen, Yixiao; He, Xiangjun4; Liu, Ping4 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023-11-01 |
| 卷号 | 15期号:22页码:5410 |
| 关键词 | drought monitoring Fengyun Meteorological-drought Composite Index cross-validation |
| DOI | 10.3390/rs15225410 |
| 文献子类 | Article |
| 英文摘要 | Drought is a complex natural hazard that affects various regions of the world, causing significant economic and environmental losses. Accurate and timely monitoring and forecasting of drought conditions are essential for mitigating their impacts and enhancing resilience. Satellite-based drought indices have the advantage of providing spatially continuous and consistent information on drought severity and extent. A new drought product was developed from the thermal infrared observations of the Fengyun (FY) series of satellites. We proposed a data fusion algorithm to combine multiple FY satellites, including FY-2F, FY-2G, and FY-4A, to create a long time series of a land surface temperature (LST) data set without systematic bias. An FY drought index (FYDI) is then derived by coupling the long-term LST data set with the surface-atmospheric energy exchange model at 4 km spatial resolution over China from 2013 to present. The performance and reliability of the new FYDI product are evaluated in this study by comparing it with the Meteorological-drought Composite Index (MCI), one of the authoritative drought monitoring indices used in the Chinese meteorological services. The main objectives of this paper are: (1) to evaluate the performance of the FYDI in capturing the spatiotemporal patterns of drought events over China; (2) to quantitively analyze the consistency between the FYDI and MCI products; and (3) to explore the advantages and limitations of the FYDI for drought monitoring and assessment. The preliminary results show that the FYDI product has good agreement with the MCI, indicating that the FYDI can effectively identify the occurrence, duration, severity, and frequency of drought events over China. These two products have a strong correlation in terms of drought detection, with a correlation coefficient of approximately 0.7. The FYDI was found to be particularly effective in the regions where ground observation is scarce, with the capability of reflecting the spatial heterogeneity and variability of drought patterns more clearly. Overall, the FYDI can be a useful measure for operational drought monitoring and early warning, complementing the existing ground-based MCI drought indices. |
| WOS关键词 | SURFACE-TEMPERATURE ; ENERGY-BALANCE ; SOIL-MOISTURE ; LAND-SURFACE ; HEAT-FLUX ; MODEL ; EVAPORATION |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS记录号 | WOS:001120134900001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/200939]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 作者单位 | 1.Huitian Drought High Tech Co Ltd, Beijing 100094, Peoples R China 2.China Inst Water Resources & Hydropower Res, Beijing 100038, Peoples R China 3.Natl Climate Ctr, China Meteorol Adm, Key Lab Climate Predict Studies, Beijing 100081, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Feng, Aiqing,Liu, Lulu,Wang, Guofu,et al. Drought Monitoring from Fengyun Satellite Series: A Comparative Analysis with Meteorological-Drought Composite Index (MCI)[J]. REMOTE SENSING,2023,15(22):5410. |
| APA | Feng, Aiqing.,Liu, Lulu.,Wang, Guofu.,Tang, Jian.,Zhang, Xuejun.,...&Liu, Ping.(2023).Drought Monitoring from Fengyun Satellite Series: A Comparative Analysis with Meteorological-Drought Composite Index (MCI).REMOTE SENSING,15(22),5410. |
| MLA | Feng, Aiqing,et al."Drought Monitoring from Fengyun Satellite Series: A Comparative Analysis with Meteorological-Drought Composite Index (MCI)".REMOTE SENSING 15.22(2023):5410. |
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。