Improved Drought Monitoring Method Based on Multisource Remote Sensing Data

Drought is one of the most common natural disasters which may harm ecosystem and economy, and thus, it is important to accurately grasp the change of drought. In this study, an innovative multisource remote sensing drought index improved Temperature-Vegetation-Soil Moisture Dryness Index (iTVMDI) based on passive microwave remote sensing data of FengYun (FY)3B and optical/infrared data is proposed to monitor the drought in Shandong Province, China in 2016. The monitoring results were verified by meteorological data. Results showed that iTVMDI has a negative correlation $(\mathrm{R}=-0.73)$ with precipitation and the average correlation coefficient with temperature is 0.76. Overall, iTVMDI can be applied to monitor the temporal and spatial variation of drought conditions.