Existing artificial neural networks (ANNs) have attempted to efficiently identify underlying
patterns in environmental series, but their structure optimization needs a trial-and-error …

This study aims to examine the causes and predictability of spring droughts in the Korean
Peninsula. To achieve this goal, we conducted a correlation analysis of global atmospheric …

The accurate estimation of sediment discharge is crucial for the design and operation of
engineering structures such as dams, water treatment facilities, and erosion control systems …

In this study, a quantitative assessment was carried out in order to identify the agricultural
drought in time and space using the Terra MODIS remote sensing data for the agricultural …

In this study, the Standard Precipitation Index (SPI), meteorological drought index, was used
to evaluate the temporal and spatial assessment of drought forecasting results for all cross …

Instances of flood damage caused by extreme storm rainfall due to climate change and
variability have been showing an increasing trend. Particularly, a flood forecasting and …

Drought is an abnormal condition characterized by dry weather which can continue for days,
months, and years. Drought often has major effects on the ecosystems and agriculture of …

In order to obtain consistent change detection result for multi-temporal satellite images,
preprocessing must be performed. In particular, the preprocessing related to the spectral …

In this study, long-term rainfall data of more than 300 years including the paleoclimatic
rainfall data from Chuk Woo Kee (1777-1907), the modern observed rainfall data (1908 …

Despite the recession of the global market, the domestic electronic appliance companies
dominated TV market in North America. They took both the premium and mid-priced product …