In this paper, a literature overview is presented on the use of laser rangefinder techniques
for the retrieval of forest inventory parameters and structural characteristics. The existing …

Information about forest cover is needed by all of the nine societal benefit areas identified by
the Group of Earth Observation (GEO). In particular, the biodiversity and ecosystem areas …

Applications of unmanned aerial vehicles (UAVs) based remote sensing is increasing
rapidly due to their advanced accessibility, capability for fast and easy deployment …

Classification is the technique of identifying and assigning individual quantities to a group or
a set. In pattern recognition, K-Nearest Neighbors algorithm is a non-parametric method for …

Forest biomass is a major store of carbon and plays a crucial role in the regional and global
carbon cycle. Accurate forest biomass assessment is important for monitoring and mapping …

Remote sensing–based forest aboveground biomass (AGB) estimation has been
extensively explored in the past three decades, but how to effectively combine different …

A spatially explicit dataset of aboveground live forest biomass was made from ground
measured inventory plots for the conterminous US, Alaska and Puerto Rico. The plot data …

The quantification, mapping and monitoring of biomass are now central issues due to the
importance of biomass as a renewable energy source in many countries of the world. The …

Spatial predictions of forest variables are required for supporting modern national and sub-
national forest planning strategies, especially in the framework of a climate change scenario …

Quantifying forest aboveground biomass (AGB) is essential for elucidating the global carbon
cycle and the response of forest ecosystems to climate change. Over the past five decades …