Deep learning (DL) algorithms have seen a massive rise in popularity for remote-sensing
image analysis over the past few years. In this study, the major DL concepts pertinent to …

Abstract Unmanned Aerial Vehicle (UAV) has seen a dramatic rise in popularity for remote-
sensing image acquisition and analysis in recent years. It has brought promising results in …

Map** deforestation is an essential step in the process of managing tropical rainforests. It
lets us understand and monitor both legal and illegal deforestation and its implications …

OpenStreetMap (OSM) is a community-based, freely available, editable map service created
as an alternative to authoritative sources. Given that it is edited mainly by volunteers with …

Having accurate building information is paramount for a plethora of applications, including
humanitarian efforts, city planning, scientific studies, and navigation systems. While …

Accurate roof information of buildings can be obtained from UAV high-resolution images.
The large-scale accurate recognition of roof types (such as gabled, flat, hipped, complex and …

Building information is an essential part of geographic information system (GIS) applications
in urban planning and management. However, it changes rapidly with economic growth …

Oblique photogrammetry with multiple cameras onboard unmanned aerial vehicle (UAV)
has been widely applied in the construction of photorealistic three-dimensional (3-D) urban …

Climate models lack the necessary resolution for urban climate studies, requiring
computationally intensive processes to estimate high resolution air temperatures. In contrast …

Building footprint maps are vital to many remote sensing (RS) applications, such as 3-D
building modeling, urban planning, and disaster management. Due to the complexity of …