Twenty years ago, the Spectral Variation Hypothesis (SVH) was formulated as a means to
link between different aspects of biodiversity and spatial patterns of spectral data (eg …

One-third of Germany's land surface area is covered by forest (around 11.4 million hectares),
and thus, it characterizes the landscape. The forest is a habitat for a large number of animal …

Abstract The “Height Variation Hypothesis” is an indirect approach used to estimate forest
biodiversity through remote sensing data, stating that greater tree height heterogeneity (HH) …

Understanding the main drivers of biodiversity loss in Europe's agricultural landscapes has
been a research priority in the last decades. One of the most important factors promoting …

The abundance and diversity of plants and insects are important indicators of biodiversity,
overall ecosystem health and agricultural production. Bees in particular are interesting …

The ecosystem services offered by pollinators are vital for supporting agriculture and
ecosystem functioning, with bees standing out as especially valuable contributors among …

Tracking biodiversity across biomes over space and time has emerged as an imperative in
unified global efforts to manage our living planet for a sustainable future for humanity. We …

The ongoing impacts of climatic changes, coupled with intensified human activities, are
leading to a significant loss of plant diversity, prompting urgent calls for comprehensive …

Monitoring forest conditions is an essential task in the context of global climate change to
preserve biodiversity, protect carbon sinks and foster future forest resilience. Severe impacts …

Remotely sensed spectral diversity is a promising method for investigating biodiversity.
However, studies designed to assess the effectiveness of tracking changes in diversity using …