In recent years, technological advances have led to the increasing use of unmanned aerial
vehicles (UAVs) for forestry applications. One emerging field for drone application is forest …

The unmanned aerial vehicle (UAV) sensors and platforms nowadays are being used in
almost every application (eg, agriculture, forestry, and mining) that needs observed …

In the last 10 years, development in robotics, computer vision, and sensor technology has
provided new spectral remote sensing tools to capture unprecedented ultra-high spatial and …

With the emergence and development of unmanned aerial vehicles (UAVs), different
sensors have become more miniaturized and intelligent. UAVs equipped with various …

Tree-crown and height are primary tree measurements in forest inventory. Convolutional
neural networks (CNNs) are a class of neural networks, which can be used in forest …

Unmanned aerial vehicles (UAVs) or remotely piloted aircraft systems are new platforms that
have been increasingly used over the last decade in Europe to collect data for forest …

Currently, climate change poses a global threat, which may compromise the sustainability of
agriculture, forestry and other land surface systems. In a changing world scenario, the …

Park managers call for cost-effective and innovative solutions to handle a wide variety of
environmental problems that threaten biodiversity in protected areas. Recently, drones have …

Salt marshes are dynamic systems able to laterally expand, contract, and vertically accrete
in response to sea level rise. Here, we present the grand challenges that need to be …

Accurate and repeated forest inventory data are critical to understand forest ecosystem
processes and manage forest resources. In recent years, unmanned aerial vehicle (UAV) …