Climate polarization due to global warming has increased the intensity of drought in some regions, and the need for drought estimation studies to help minimize damage is increasing. In this study, we constructed remote sensing and climate data for Boryeong, Chungcheongnam-do, Korea, and developed a model for drought index estimation by classifying data characteristics and applying multiple linear regression analysis. The drought indices estimated in this study include four types of standardized precipitation indices (SPI1, SPI3, SPI6, and SPI9) used as meteorological drought indices and calculated through cumulative precipitation. We then applied statistical analysis to the developed model and assessed its ability as a drought index estimation tool using remote sensing data. Our results showed that its adj.R² value, achieved using cumulative precipitation for one month, was very low (approximately 0.003), while for the SPI3, SPI6, and SPI9 models, the adj.R² values were significantly higher than the other models at 0.67, 0.64, and 0.56, respectively, when the same data were used.

Choung, Y.-J., 2023. Mapping coastlines in an estuary of the West Nakdong River using SAR satellite imagery. In: Lee, J.L.; Lee, H.; Min, B.I.; Chang, J.-I.; Cho, G.T.; Yoon, J.-S., and Lee, J. (eds.), Multidisciplinary Approaches to Coastal and Marine Management. Journal of Coastal Research, Special Issue No. 116, pp. 200-204. Charlotte (North Carolina), ISSN 0749-0208. A coastline is significant for describing the coastal shapes and preserving the coastal properties. Remote sensing datasets acquired by the satellite sensors are useful for mapping coastlines in the wide coastal zones without human access. In this research, the Sentinel-1 satellite image, a widely used SAR satellite imagery, was used for mapping the coastlines in an estuary of the West Nakdong River, as follows. First, the given Sentinel-1 satellite image was radiometrically calibrated to get the sigma nought image. Next, the speckle filter was employed to remove some radar backscatter noises in the sigma nought data. Then, the refined image was terrain corrected using the reference digital elevation model, and the binarized image was generated from the terrain corrected image to classify the water and non-water features. Finally, the boundary lines in the binarized image were selected as the coastlines. The statistical results showed that the accuracy of the generated coastlines was less than 10 m. In future research, the optical satellite imagery and the SAR satellite imagery would be compared for mapping the accurate coastlines in the various type of coasts.