
This study generated a 500 m-gridded agricultural drought-impacted area dataset in China’s main grain region (ADIA-CMGR) during 2006-2020. The dataset constitutes various information, including drought-covered area, drought-damaged area, and crop failure area. Validation with the text-based qualitative records of agricultural drought-impacted areas shows that ADIA-CMGR offers accurate temporal variability and reasonable spatial distribution. The developed dataset satisfactorily revealed the spatial and inter-annual dynamics of agricultural drought-impacted areas across various crop-growing seasons, providing a solid foundation for managing drought impacts and improving agricultural practices. Cresponding code can be achieved at: https://github.com/SJL-UCAS/ADAD_generate
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