Carbon Dioxide (CO2) has been causing harmful effects to the environment and even to the
whole earth. Nowadays, it is the leading cause of global warming and the greenhouse effect …

Change detection is an important step for the characterization of object dynamics at the
earth's surface. In multi-temporal point clouds, the main challenge is to detect true changes …

Co-seismic landslide map** after earthquake event is essential for emergency rescue,
geohazard prevention, and post-disaster reconstruction. Most co-seismic landslide map** …

Although novel point cloud semantic segmentation schemes that continuously surpass state-
of-the-art results exist, the success of learning an effective model typically relies on the …

Develo** countries face more impacts due to natural hazards because of rapid
urbanization, natural resources overexploitation, and lack of territorial management. Mexico …

Successful control of erosion requires effective monitoring and an in-depth understanding of
erosion processes over large areas. Data from repeated unmanned aerial vehicles (UAV) …

In the last two decades, airborne LiDAR, as an active remote sensing technique, has
emerged as one of the most effective and reliable means of 3D point clouds collection. This …

Classifying bare earth (ground) points from Light Detection and Ranging (LiDAR) point
clouds is well-established research in the forestry, topography, and urban domains using …

Terrestrial hyperspectral light detection and ranging (LiDAR)(HSL), as one novel LiDAR
system integrated with more wavelengths, has supplied enhanced possibilities in many …

In the context of rapid urbanization, monitoring the evolution of cities is crucial. To do so, 3D
change detection and characterization is of capital importance since, unlike 2D images, 3D …