Vegetation indices (VIs), which describe remotely sensed vegetation properties such as
photosynthetic activity and canopy structure, are widely used to study vegetation dynamics …

Remote detection and monitoring of the vegetation responses to stress became relevant for
sustainable agriculture. Ongoing developments in optical remote sensing technologies have …

In just the past 5 years, the field of Earth observation has progressed beyond the offerings of
conventional space-agency-based platforms to include a plethora of sensing opportunities …

Land surface models (LSMs) are a vital tool for understanding, projecting, and predicting the
dynamics of the land surface and its role within the Earth system, under global change …

Leaf area index (LAI) and chlorophyll content, at leaf and canopy level, are important
variables for agricultural applications because of their crucial role in photosynthesis and in …

Upcoming satellite hyperspectral sensors require powerful and robust methodologies for
making optimum use of the rich spectral data. This paper reviews the widely applied coupled …

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 Essential Biodiversity Variables (EBVs) allow observation and reporting of global
biodiversity change, but a detailed framework for the empirical derivation of specific EBVs …

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

Developing rapid and non-destructive methods for chlorophyll estimation over large spatial
areas is a topic of much interest, as it would provide an indirect measure of plant …