An overview of drone applications in the construction industry
HW Choi, HJ Kim, SK Kim, WS Na - Drones, 2023 - mdpi.com
The integration of drones in the construction industry has ushered in a new era of efficiency,
accuracy, and safety throughout the various phases of construction projects. This paper …
accuracy, and safety throughout the various phases of construction projects. This paper …
Tsunami damage detection with remote sensing: A review
Tsunamis are rare events compared with the other natural disasters, but once it happens, it
can be extremely devastating to the coastal communities. Extensive inland penetration of …
can be extremely devastating to the coastal communities. Extensive inland penetration of …
Mapping an earthquake-induced landslide based on UAV imagery; case study of the 2015 Okeanos landslide, Lefkada, Greece
Abstract On November 17, 2015 07: 10 UTC an earthquake of M w 6.5 induced slope
failures mainly at the western part of the island of Lefkada, Ionian Sea, Greece. The most …
failures mainly at the western part of the island of Lefkada, Ionian Sea, Greece. The most …
Geohazard recognition and inventory mapping using airborne LiDAR data in complex mountainous areas
C Guo, Q Xu, X Dong, W Li, K Zhao, H Lu, Y Ju - Journal of Earth Science, 2021 - Springer
Geohazard recognition and inventory mapping are absolutely the keys to the establishment
of reliable susceptibility and hazard maps. However, it has been challenging to implement …
of reliable susceptibility and hazard maps. However, it has been challenging to implement …
Unmanned aerial vehicles enabled IoT platform for disaster management
Efficient and reliable systems are required to detect and monitor disasters such as wildfires
as well as to notify the people in the disaster-affected areas. Internet of Things (IoT) is the …
as well as to notify the people in the disaster-affected areas. Internet of Things (IoT) is the …
Wildfire front monitoring with multiple uavs using deep q-learning
Wildfires destroy thousands of hectares every summer all over the globe. To provide an
effective response and to mitigate wildfires impact, firefighters require a real-time monitoring …
effective response and to mitigate wildfires impact, firefighters require a real-time monitoring …
Near-real-time gradually expanding 3D land surface reconstruction in disaster areas by sequential drone imagery
The ability of drones to access disaster areas has been proven powerful and flexible for
acquiring first-hand optical imagery data for environmental observation. However, such …
acquiring first-hand optical imagery data for environmental observation. However, such …
UAV and GIS based rapid earthquake-induced building damage assessment and methodology for EMS-98 isoseismal map drawing: The June 12, 2017 Mw 6.3 …
S Mavroulis, E Andreadakis, NI Spyrou… - International Journal of …, 2019 - Elsevier
Abstract On June 12, 2017, an Mw 6.3 earthquake struck Lesvos Island (Northeastern
Aegean, Greece). Building damage was observed in its southeastern part with very heavy …
Aegean, Greece). Building damage was observed in its southeastern part with very heavy …
Regional landslide mapping model developed by a deep transfer learning framework using post-event optical imagery
Landslides are major natural disasters in mountainous areas, often caused by earthquakes
and heavy rainfalls. Traditional manual delineation methods for identifying landslide …
and heavy rainfalls. Traditional manual delineation methods for identifying landslide …
Pixel-based classification method for earthquake-induced landslide mapping using remotely sensed imagery, geospatial data and temporal change information
A series of earthquakes occurred in Kumamoto, Japan, in April 2016, which caused
numerous landslides. In this study, high-resolution pre-event and post-event optical imagery …
numerous landslides. In this study, high-resolution pre-event and post-event optical imagery …