Flood occurrence is increasing due to escalated urbanization and extreme climate change;
hence, various studies on this issue and methods of flood monitoring and mapping are also …

Airborne light detection and ranging (LiDAR) technology has become the mainstream data
source in geosciences and environmental sciences. Point cloud filtering is a prerequisite for …

Remote Sensing technologies are capable of providing high-resolution spatial data needed
to set up advanced flood simulation models. Amongst them, aerial Light Detection and …

The magnitude and frequency of hydrological events are expected to increase in coming
years due to climate change in megacities of Asia. Intensity–Duration–Frequency (IDF) …

Recent research suggests future alterations in rainfall patterns due to climate variability,
affecting public safety and health in urban areas. Urban growth, one of the main drivers of …

Filtering is an essential post-processing step for various applications of Light Detection and
Ranging (LiDAR) data. Progressive triangular irregular network (TIN) densification (PTD) is …

The present paper describes a methodological framework that combines ecosystem
services (flood protection, education, art/culture, recreation and tourism) with economic …

Flooding is the most catastrophic, wide spread, and frequent natural hazards causing
extensive damages on infrastructure, human life, and the environment. The frequency and …

Flood risk management has become a growing priority for city managers and disaster risk
prevention agencies worldwide. Correspondingly, large investments are made towards data …

The LiDAR point clouds captured with airborne laser scanning provide considerably more
information about the terrain surface than most data sources in the past. This rich information …