A drought analysis method based on modis satellite imagery and AWS data

摘要

This study analyzed the ongoing drought situation in South Korea using MODIS satellite data and AWS ground observation data. In order to analyze the drought, the Scaled Drought Condition Index (SDCI) was calculated utilizing concurrent precipitation, temperature and vegetation factors. Unlike conventional research that utilizes only satellite data, we utilized AWS ground-based observation data that has advantages in terms of data accuracy and collection stability. Precipitation and temperature inputs were sourced from AWS ground observation data while vegetation coverage was obtained from MODIS NDVI data. SDCI was applied to data on June 5, 2012 when the drought was severe. The results of the SDCI were compared with high-land vegetable harvest analysis, and showed a positive mutual correlation.