Plant phenomics is a new avenue for linking plant genomics and environmental studies,
thereby improving plant breeding and management. Remote sensing techniques have …

Geographically weighted regression (GWR) is a local spatial statistical technique for
exploring spatial nonstationarity. This chapter reviews previous approaches to mapping the …

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 …

Airborne laser scanning (ALS) has emerged as one of the most promising remote sensing
technologies to provide data for research and operational applications in a wide range of …

Abstract Light Detection and Ranging (LiDAR) is a remote sensor able to extract three-
dimensional information. Environmental models in forest areas have been benefited by the …

The estimation of forest attributes representing aspects of structural biodiversity from vast
areas is difficult not only because of the lack of agreement on what constitutes a structurally …

Recent advancements in laser scanning technology have demonstrated great potential for
the precise characterization of forests. However, a major challenge in utilizing metrics …

The relationship between lidar-derived metrics and biomass could vary across different
vegetation types. However, in many studies, there are usually a limited number of field plots …

Remote sensing is a valuable tool for estimating forest biomass in remote areas. This study
explores retrieval of forest above-ground biomass (AGB) over a cold and arid region in …

Unmanned aerial vehicle laser scanning (UAVLS) systems present a relatively new means
of remote sensing and are increasingly applied in the field of forest ecology and …