This paper reviews the current status and development of remote sensing methods for
monitoring rangeland condition. Remote sensing offers ideal solutions for assessing …

The combination of a low-density geochemical survey, multispectral data obtained with
Unmanned Aerial Vehicle-Remote Sensing (UAV-RS), and a machine learning technique …

Traditional field inventories have been the standard method for collecting detailed forest
attribute data. However, these methods are often time-consuming, labor-intensive, and …

Modern forestry poses new challenges that space technologies can solve thanks to the
advent of unmanned aerial vehicles (UAVs). This study proposes a methodology to extract …

Abstract Climate-Smart Forestry (CSF) is a develo** concept to help policymakers and
practitioners develop focused forestry governance and management to adapt to and mitigate …

Biodiversity monitoring represents a major challenge to supporting proper forest ecosystem
management and biodiversity conservation. The latter is indeed shifting in recent years from …

The acquisition of high-resolution aboveground biomass (AGB) data cost-effectively and
expeditiously represents a formidable challenge within the domain of current ecosystem …

Light detection and ranging (LiDAR) has been a tool of choice for 3D dense point cloud
reconstructions of forest canopy over the past two decades, but advances in computer vision …

The application of high-resolution stereoscopic imagery acquired by Unmanned Aerial
Vehicle (UAV) on the extraction of forest heights has grown rapidly in recent years. Most …

ABSTRACT Unmanned Aerial Vehicles (UAVs) have potentially significant application in
agriculture and, with the emergence of the digital farming era and Agriculture 4.0, this …