Building footprint is a primary dataset of an urban geographic information system (GIS)
database. Therefore, it is essential to establish a robust and automated framework for large …

Instance segmentation is the state-of-the-art in object detection, and there are numerous
applications in remote sensing data where these algorithms can produce significant results …

Effective water management requires a large-scale understanding of agricultural irrigation
systems and how they shift in response to various stressors. Here, we leveraged advances …

Accurate burned area information is needed to assess the impacts of wildfires on people,
communities, and natural ecosystems. Various burned area detection methods have been …

遥感变化检测可以获取地表变化信息, 对于理解人与自然相互作用, 推动可持续发展具有重要
意义. 随着遥感成像技术的提升和计算机科学的快速发展, 高光谱, 高时间, 高空间分辨率的遥感 …

Brazil is a tropical country with continental dimensions and abundant solar resources that
are still underutilized. However, solar energy is one of the most promising renewable …

Nowadays Earth observation satellites provide forest fire authorities and resource managers
with spatial and comprehensive information for fire stabilization and recovery. Burn severity …

The risk and damage of wildfires have been increasing due to various reasons including
climate change, and the Republic of Korea is no exception to this situation. Burned area …

The automatic and accurate detection of mangroves from remote sensing data is essential to
assist in conservation strategies and decision-making that minimize possible environmental …

Oil spills are a worldwide concern since they cause environmental problems and financial
losses. Automatic detection plays a crucial role in rapid decision-making to reduce damage …