Unmanned aerial vehicle (UAV) remote sensing has great potential for vegetation map**
in complex urban landscapes due to the ultra-high resolution imagery acquired at low …

Canopy height (H canopy) and aboveground biomass (AGB) of crops are two basic agro-
ecological indicators that can provide important indications on the growth, light use …

Remote sensing techniques, developed over the past four decades, have enabled large-
scale forest inventory. Light Detection and Ranging (LiDAR), as an active remote sensing …

Trees are an integral component of the urban environment and important for human well-
being, adaption measures to climate change and sustainable urban transformation …

The advent of lidar has revolutionized the way we observe and measure vegetation structure
from the ground and from above and represents a major advance toward the quantification …

This paper proposes a novel framework for the fusion of hyperspectral and light detection
and ranging-derived rasterized data using extinction profiles (EPs) and deep learning. In …

Object-based image analysis (OBIA) has gained widespread popularity for creating maps
from remotely sensed data. Researchers routinely claim that OBIA procedures outperform …

Point cloud data segmentation, filtering, classification, and feature extraction are the main
focus of point cloud data processing. DBSCAN (density-based spatial clustering of …