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

Forests are suffering water stress due to climate change; in some parts of the globe, forests
are being exposed to the highest temperatures historically recorded. Machine learning …

Reliable and accurate models of the speed of a wildfire front as it moves across the
landscape are essential for the timely prediction of its propagation, to devise suitable …

Savanna ecosystems are challenging to map and monitor as their vegetation is highly
dynamic in space and time. Understanding the structural diversity and biomass distribution …

Single-tree detection is one of the main research topics in quantifying the structural
properties of forests. Drone LiDAR systems and terrestrial laser scanning systems produce …

Sensors attached to unmanned aerial vehicles (UAVs) allow estimating a large number of
forest attributes related to forest fuels. This study assesses photogrammetric point clouds …

With an increase in the frequency and severity of wildfires across the globe and resultant
changes to long-established fire regimes, the mapping of fire severity is a vital part of …

Advances in fire behaviour modelling provide a catalyst for the development of next
generation fuel inputs. Fire simulations underpin risk and consequence mapping and inform …

Forest management activities intended to reduce wildfire risk rely on accurate
characterizations of the amount and arrangement of canopy and surface fuels. Metrics that …

Wildfire shapes vegetation assemblages in Mediterranean ecosystems, such as those in the
state of California, United States. Successful restorative management of forests in-line with …