Automated individual tree crown detection and delineation (ITCD) using remotely sensed
data plays an increasingly significant role in efficiently, accurately, and completely …

How ecologists think about above‐ground forest structure and dynamics is fundamentally
shaped by the data we can collect. This has historically been limited to what is possible with …

The ability to use digital remotely sensed data for forest inventory is often limited by the
nature of the measures, which, with the exception of multi-angular or stereo observations …

Spatially continuous map** forest aboveground biomass (AGB) is crucial for better
understanding the capacities of carbon sequestration capacities of forest ecosystems at both …

With the launch of Sentinel-1 in 2014, a new era of openly accessible spaceborne radar
imagery was begun, and its potential has been demonstrated throughout all fields of …

Due to increased fuel loading as a result of fire suppression, land managers in the American
west are in need of precise information about the fuels they manage, including canopy fuels …

While forest inventories based on airborne laser scanning data (ALS) using the area based
approach (ABA) have reached operational status, methods using the individual tree crown …

Abstract Canopy Height Models (CHMs) or normalized Digital Surface Models (nDSM)
derived from LiDAR data have been applied to extract relevant forest inventory information …

Climate change is expected to cause major changes in forest ecosystems during the 21 st
century and beyond. To assess forest impacts from climate change, the existing empirical …

The study compares the accuracy of timber volume prediction based on four different three-
dimensional remote sensing data sets in one study area in southern Norway: airborne laser …