Estimation of the Indonesian drought based on phenology vegetation analysis of maize

Abstract

Climate change has a widespread influence on food essentials. Climate change is a pressing issue in Indonesia, a rapidly developing country. As a result, to forecast dryness during maize production in Indonesia’s Central East Java districts, it was proposed that a study be done on vegetation phenology. The study uses the vegetation to calculate the NDWI (Water Index) and Temperature (LST), calculate drought severity based on precipitation data. NDWI and LST were obtained from Landsat 8 OLI with a spatial resolution of 30 m and were used to identify water shortage and temperature within the study area. The inquiry was finished in 2018 and showed that the vegetation phenology was based on the growing season. The growing season of maize report from the NDVI (Vegetation Index) trajectories that April 2018 was the maize planting season, and the harvest was completed in later August. Additionally, LST analysis found that the temperature was higher in mid and southern Central East Java, Indonesia. To validate the data, rainfall information was used to compute the drought severity using SPI method to identify drought-prone areas. Drought severity validation data were validated for vegetation phenology analysis in 2018.