The geometric processing of spaceborne synthetic aperture radar (SAR) images plays a crucial role in achieving the high-precision positioning of SAR images. Traditional SAR image geometric proces ... Read More

We quantified the impact of transit-oriented development (TOD) on consumer expenditures in seven sectors, including retail, healthcare, culture, and education, in Seoul, South Korea, employing pr ... Read More

The degradation of biodiversity has been a severe problem in the Republic of Korea (ROK). Among the various wildlife, amphibians have high conservation value because of their ecological position ... Read More

In this study, we examined the spatial inequalities in transportation accessibility, neighborhood environments, and overall satisfaction across metropolitan, urban, and rural areas in South Korea ... Read More

Improving heating, ventilating, and air conditioning (HVAC) efficiency is crucial for energy savings and carbon emission reduction. In this study, we employed deep reinforcement learning (DRL) to ... Read More

In this study, we analyzed the surface temperature of Chuncheon from 2014 to 2020 using Landsat 8 images. The findings revealed that man-made structures such as asphalt roads and buildings cause ... Read More

With the advancements in data collection processes and sensors, a vast amount of data is now available, driving the increasing application and utilization of deep-learning-based artificial intell ... Read More

Recently, the number of high-resolution Earth-observing satellite sensors has been increasing owing to the growing needs of intelligence, mapping, and environmental monitoring. An acquired satell ... Read More

Currently, the settlement of soft ground is measured using instruments operated by on-site workers. However, this method is expensive and inefficient in terms of data consistency, cost-effectiven ... Read More

Seabed segmentation from airborne bathymetric Light Detection and Ranging (LiDAR) point cloud data presents unique challenges, primarily due to variations in the z-axis resulting from differences ... Read More

Construction sites have shown the highest incidence of safety accidents across industries in recent times. Small-scale sites, in particular, often operate without on-site safety managers, leading ... Read More

Recently, extensive research has been conducted on generating virtual training data in a digital twin-based simulator to reduce the time and cost associated with acquiring high-quality training d ... Read More

The Arctic regions is often assessed as having high uncertainty and risk in construction projects owing to its extreme environmental conditions. However, it is emerging as a new frontier for futu ... Read More

Digital elevation models (DEMs) are essential for quantitatively monitoring the current state and changes in the morphology of tidal flats and extracting terrain information, such as tidal channe ... Read More