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 …

With the demand for, and scale of, ecological restoration increasing globally, effectiveness
monitoring remains a significant challenge. For forest restoration, structural complexity is a …

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 …

Ideal for both undergraduate and graduate students in the fields of geography, forestry,
ecology, geographic information science, remote sensing, and photogrammetric …

Random forest (RF) models were developed to estimate the biomass for the Pinus radiata
species in a region of the Basque Autonomous Community where this species has high …

Mapping aboveground carbon density (ACD) in tropical forests can enhance large-scale
ecological studies and support CO 2 emissions monitoring. Light Detection and Ranging …

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 …

This paper focuses on the use of models for increasing the precision of estimators in large-
area forest surveys. It is motivated by the increasing availability of remotely sensed data …

Vegetation biomass is a key biophysical parameter for many ecological and environmental
models. The accurate estimation of biomass is essential for improving the accuracy and …

The use of image-based three-dimensional data from unmanned aerial vehicles (UAV) has
proven effective for forest inventories. However, limitations in the range of UAV operations …