This paper describes the comprehensive analysis and evaluation of agricultural drought phenomena in the Democratic People's Republic of Korea from 2012 to 2021 using remote sensing technology and GIS technology, which have proven superior in drought research. We analyzed dynamic changes in agricultural drought according to the characteristics of each drought index during the growth period from 2012 to 2021 through the calculation of SPI, VCI, TCI, VHI, and NVSWI derived from time series CHIRPS and MODIS data. The moisture condition index (MCI) was newly proposed starting from the importance of the moisture condition of crops, confirmed reliable by comparing it with the staple agricultural drought indices. Paper proposed a new integrated drought index CDI that comprehensively reflects the vegetation status, soil moisture status, and crop moisture status using the logical calculation function of the geographic information system.As a result of examining the dynamic change of agricultural drought from 2012 to 2021 using CDI, high temperature and sub-normal rainfall were the main factors causing the drying. The integrated drought index CDI proposed in this paper provides a premise that can be a staple indicator for agricultural drought analysis and evaluation as it is possible to comprehensively and simultaneously consider the vegetation status, soil moisture status, and crop moisture status.