Research progress and perspective for operationalization of agricultural drought monitoring
Received date: 2022-08-19
Revised date: 2022-09-25
Online published: 2023-01-17
The operational agricultural drought monitoring system is a powerful tool for monitoring and predicting agricultural drought， as well as agricultural risk assessment and prevention. In order to better promote the development of the operationalization of agricultural drought monitoring， we systematically reviewed four types of commonly used drought indices based on meteorological variables， soil moisture， vegetation status and multivariate， and analyzed the characteristics of operational agricultural drought monitoring systems in the United States， China， Europe and the United Nations Food and Agriculture Organization， etc. in detail， and discussed the problems existing in operational agricultural drought monitoring systems. For example， the quality and fusion of data are unstable， the construction of the comprehensive drought index is uncertain， the temporal resolution of monitoring needs to be improved， and the hydrological conditions and the growth process of crops are not considered. Looking forward to the future， the operational agricultural drought monitoring system should develop further from using multi-source data to monitor drought， considering regional spatial and temporal differences and the accumulation and lag between different indicators when constructing comprehensive indicators， strengthening the role of machine and deep learning in the construction of comprehensive indices， developing daily time-scale monitoring of drought to deal with the occurrence of flash drought events， strengthening the role of crop growth process models and advanced technical means in drought monitoring.
Weiqi Liu , Shaoxiu Ma , Yulai Gong , Kun Feng , Linhao Liang . Research progress and perspective for operationalization of agricultural drought monitoring[J]. Journal of Desert Research, 2023 , 43(1) : 197 -211 . DOI: 10.7522/j.issn.1000-694X.2022.00120
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