Remote sensing technology allows to provide information about biochemical and
biophysical crop traits and monitor their spatiotemporal dynamics of agriculture ecosystems …

With an upcoming unprecedented stream of imaging spectroscopy data, there is a rising
need for tools and software applications exploiting the spectral possibilities to extract …

The unprecedented availability of optical satellite data in cloud-based computing platforms,
such as Google Earth Engine (GEE), opens new possibilities to develop crop trait retrieval …

The current exponential increase of spatiotemporally explicit data streams from satellite-
based Earth observation missions offers promising opportunities for global vegetation …

Plantation forests provide critical ecosystem services and have experienced worldwide
expansion during the past few decades. Accurate map** of tree species through remote …

Accurate and robust quantifications of leaf chlorophyll and water contents facilitate a better
understanding of plant water and nutrient needs. Besides simplified spectral indices, other …

Radiative transfer models (RTMs) provide reliable information about crop yield and traits
with high resource efficiency. In this study, we have conducted a systematic literature review …

Leaf area index (LAI), which is an important structural parameter, plays a vital role in
evaluating crop growth and yield. In this study, we used the canopy coverage (CC) derived …

Spaceborne imaging spectroscopy is a highly promising data source for all agricultural
management and research disciplines that require spatio-temporal information on crop …

Food security is projected to be threatened by increasing co-occurring stresses (eg, drought
and salinity) under global climate change. To mitigate major impacts on food production, the …