The increasing importance of Earth observation information for society and environment,
particularly in the expanding domain of hyperspectral remote sensing, along with the …

Recent advancements in deep learning techniques have spurred considerable interest in
their application to hyperspectral imagery processing. This paper provides a comprehensive …

Soils are the largest terrestrial carbon pool and a valuable good that provides important
ecosystem services. Since soils are threatened by degradation and in order to fight climate …

For over four decades, spaceborne multispectral data have played a crucial role in
supporting mineral exploration and geologic map**. The spaceborne multispectral …

Accurately estimating leaf chlorophyll content (Chl) at large spatial scales is crucial for
monitoring agricultural production and plant photosynthesis. Sentinel-2 and Landsat-7/8 …

Satellite missions like EnMAP and PRISMA generate raster images that describe the Earth's
environment with hyperspectral resolution. Such imaging spectroscopy data is of high value …

Hyperspectral satellite missions, such as PRISMA of the Italian Space Agency (ASI), have
opened up new research opportunities. Using PRISMA data in land cover classification has …

Rare earth elements (REEs) exhibit diagnostic absorption features in the visible-near
infrared region, enabling their detection and identification via spectroscopic methods …

Imaging spectroscopy has been a recognized and established remote sensing technology
since the 1980s, mainly using airborne and field-based platforms to identify and quantify key …

Urban trees support vital ecological functions and help with the mitigation of and adaption to
climate change. Yet, their monitoring and management require significant public resources …