Light detection and ranging (lidar) data acquired from airborne or spaceborne platforms
have revolutionized measurement and mapping of forest attributes. Airborne data are often …

Globally, forests are a crucial natural resource, and their sound management is critical for
human and ecosystem health and well-being. Efforts to manage forests depend upon …

Live woody vegetation is the largest reservoir of biomass carbon, with its restoration
considered one of the most effective natural climate solutions. However, terrestrial carbon …

Remote sensing (RS) studies aiming at mapping forest biomass typically rely on ground-
based estimates of biomass for calibration or validation. Whatever the biophysical variable …

Despite the popularity of random forests (RF) as a prediction algorithm, methods for
constructing confidence intervals for population means using this technique are still only …

This study addresses the use of multiple sources of auxiliary data from unmanned aerial
vehicles (UAVs) and airborne laser scanning (ALS) data for inference on key biophysical …

When probability samples are not available, the model-based framework may be the only
option for constructing inferences in the form of prediction intervals for population means …

Forest management inventories (FMIs) provide critical information, usually at the stand level,
for forest management planning. A typical FMI includes (i) the delineation of the inventory …

Background The increasing availability of remotely sensed data has recently challenged the
traditional way of performing forest inventories, and induced an interest in model-based …

Abstract Within the Paris Agreement's Enhanced Transparency Framework, consistent data
collections are the prerequisite for a successful reporting of GHG emissions. For such …