Vegetation productivity is a critical indicator of global ecosystem health and is impacted by
human activities and climate change. A wide range of optical sensing platforms, from ground …

The ever-increasing global population presents a looming threat to food production. To meet
growing food demands while minimizing negative impacts on water and soil, agricultural …

Accurate and real-time land use/land cover (LULC) maps are important to provide precise
information for dynamic monitoring, planning, and management of the Earth. With the advent …

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 …

Google Earth Engine has deeply changed the way in which Earth observation data are
processed, allowing the analysis of wide areas in a faster and more efficient way than ever …

The ongoing monitoring of terrestrial carbon fluxes (TCF) goes hand in hand with progress
in technical capacities, such as the next-generation Earth observation missions of the …

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

Land surface phenology (LSP) is beneficial to understand ecosystem response to climate
change, vegetation and crop type discrimination, and ecological modeling. However, the …

Global map** of essential vegetation traits (EVTs) through data acquired by Earth-
observing satellites provides a spatially explicit way to analyze the current vegetation states …

In preparation for new-generation imaging spectrometer missions and the accompanying
unprecedented inflow of hyperspectral data, optimized models are needed to generate …