Remote sensing-based methods of aboveground biomass (AGB) estimation in forest
ecosystems have gained increased attention, and substantial research has been conducted …

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 …

High spatial resolution three-dimensional (3D) measurements of vegetation by remote
sensing are advancing ecological research and environmental management. However …

Whilst the information in this IPCC Report is believed to be true and accurate at the date of
going to press, neither the authors nor the publishers can accept any legal responsibility or …

Forests are a major component of the global carbon cycle, and accurate estimation of forest
carbon stocks and fluxes is important in the context of anthropogenic global change …

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

During the past decade, procedures for forest biomass quantification from light detection and
ranging (LiDAR) data have been improved at a rapid pace. The scope of these methods …

Forest monitoring using satellite imagery has advanced tremendously over the past few
decades, to the point that these datasets now inform international policy agreements …

ABSTRACT The Global Ecosystem Dynamics Investigation (GEDI), a new spaceborne
LiDAR system of the National Aeronautics and Space Administration (NASA), has the …

Remote sensing techniques are increasingly used for studying ecosystem dynamics,
delivering spatially explicit information on the properties of Earth over large spatial and multi …