Drought Monitoring from Fengyun Satellite Series: A Comparative Analysis with Meteorological-Drought Composite Index (MCI)
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 indi...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-11-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/22/5410 |
| _version_ | 1797457843568246784 |
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| author | Aiqing Feng Lulu Liu Guofu Wang Jian Tang Xuejun Zhang Yixiao Chen Xiangjun He Ping Liu |
| author_facet | Aiqing Feng Lulu Liu Guofu Wang Jian Tang Xuejun Zhang Yixiao Chen Xiangjun He Ping Liu |
| author_sort | Aiqing Feng |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T16:28:35Z |
| format | Article |
| id | doaj.art-946eb1a2514544c7960d706f0c984f77 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T16:28:35Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-946eb1a2514544c7960d706f0c984f772023-11-24T15:04:47ZengMDPI AGRemote Sensing2072-42922023-11-011522541010.3390/rs15225410Drought Monitoring from Fengyun Satellite Series: A Comparative Analysis with Meteorological-Drought Composite Index (MCI)Aiqing Feng0Lulu Liu1Guofu Wang2Jian Tang3Xuejun Zhang4Yixiao Chen5Xiangjun He6Ping Liu7China Meteorological Administration Key Laboratory for Climate Prediction Studies, National Climate Center, Beijing 100081, ChinaKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaChina Meteorological Administration Key Laboratory for Climate Prediction Studies, National Climate Center, Beijing 100081, ChinaHuitian Drought High-Tech Co., Ltd., Beijing 100094, ChinaChina Institute of Water Resources and Hydropower Research, Beijing 100038, ChinaChina Meteorological Administration Key Laboratory for Climate Prediction Studies, National Climate Center, Beijing 100081, ChinaHuitian Drought High-Tech Co., Ltd., Beijing 100094, ChinaHuitian Drought High-Tech Co., Ltd., Beijing 100094, ChinaDrought 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.https://www.mdpi.com/2072-4292/15/22/5410drought monitoringFengyunMeteorological-drought Composite Indexcross-validation |
| spellingShingle | Aiqing Feng Lulu Liu Guofu Wang Jian Tang Xuejun Zhang Yixiao Chen Xiangjun He Ping Liu Drought Monitoring from Fengyun Satellite Series: A Comparative Analysis with Meteorological-Drought Composite Index (MCI) Remote Sensing drought monitoring Fengyun Meteorological-drought Composite Index cross-validation |
| title | Drought Monitoring from Fengyun Satellite Series: A Comparative Analysis with Meteorological-Drought Composite Index (MCI) |
| title_full | Drought Monitoring from Fengyun Satellite Series: A Comparative Analysis with Meteorological-Drought Composite Index (MCI) |
| title_fullStr | Drought Monitoring from Fengyun Satellite Series: A Comparative Analysis with Meteorological-Drought Composite Index (MCI) |
| title_full_unstemmed | Drought Monitoring from Fengyun Satellite Series: A Comparative Analysis with Meteorological-Drought Composite Index (MCI) |
| title_short | Drought Monitoring from Fengyun Satellite Series: A Comparative Analysis with Meteorological-Drought Composite Index (MCI) |
| title_sort | drought monitoring from fengyun satellite series a comparative analysis with meteorological drought composite index mci |
| topic | drought monitoring Fengyun Meteorological-drought Composite Index cross-validation |
| url | https://www.mdpi.com/2072-4292/15/22/5410 |
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