Leaf area index (LAI) is a critical vegetation structural variable and is essential in the
feedback of vegetation to the climate system. The advancement of the global Earth …

Over the past ten years, plant phenotyping technologies that utilize sensing and data mining
approaches to estimate crop traits in a high-throughput and objective manner, have been …

Leaf chlorophyll, as a key factor for carbon circulation in the ecosystem, is significant for the
photosynthetic productivity estimation and crop growth monitoring in agricultural …

This study explores the potential of vegetation indices (VIs) for crop leaf area index (LAI)
estimation, with a focus on comparing red-edge reflectance based (RE-based) and the …

Leaf chlorophyll is central to the exchange of carbon, water and energy between the
biosphere and the atmosphere, and to the functioning of terrestrial ecosystems. This paper …

The recently launched and upcoming hyperspectral satellite missions, featuring contiguous
visible-to-shortwave infrared spectral information, are opening unprecedented opportunities …

Abiotic stress can alter key physiological constituents and functions in green plants.
Improving the capacity to monitor this response in a non-destructive manner is of …

Satellite sensing in the visible to near-infrared (VNIR) domain has been the backbone of
land surface monitoring and characterization for more than four decades. However, a …

Abstract Unmanned Aerial Vehicle (UAV) remote sensing has opened the door to new
sources of data to effectively characterize vegetation metrics at very high spatial resolution …

With an increasing volume and dimensionality of Earth observation data, enhanced
integration of machine-learning methodologies is needed to effectively analyze and utilize …