Integrated drought monitoring index: A tool to monitor agricultural drought by using time-series datasets of space-based earth observation satellites

•IDMI was proposed by integrating scaled CHIRPS, soil moisture, LST and NDVI datasets with PCA.•The study shows the intensity and severity of agricultural drought during the period from 2000 to 2016.•Correlation of IDMI and 3-month SPI shows a strong positive correlation during wet and dry years.•Sensitivity analysis shows PCI and VCI found to be influencing parameters in computation of IDMI.•Time-series earth observation datasets play a key role in assessment of agricultural drought.