Abstract Deep Neural Networks (DNNs) learn representation from data with an impressive
capability, and brought important breakthroughs for processing images, time-series, natural …

Abstract The use of Unmanned Aerial Vehicles (UAVs) has surged in the last two decades,
making them popular instruments for a wide range of applications, and leading to a …

Accurate spatial information of agricultural fields in smallholder farms is important for
providing actionable information to farmers, managers, and policymakers. Very High …

The microtopography associated with ice-wedge polygons governs many aspects of Arctic
ecosystem, permafrost, and hydrologic dynamics from local to regional scales owing to the …

The capability of partially penetrating vegetation canopy and efficiently collecting high-
precision point clouds over large areas makes airborne laser scanning (ALS) a valuable tool …

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 …