Duccio Rocchini

TL;DR: The Earth is undergoing an accelerated rate of native ecosystem conversion and degradation and there is an increased interest in measuring and modelling biodiversity from space as discussed by the authors, which will improve our understanding of the distribution of life on earth.

TL;DR: In this paper, the main sources of uncertainty are reviewed and a code of good practices is proposed to minimize their effects. But the authors do not consider the effect of the quality and bias of raw distributional data, the process of map building and the dynamic nature of species distributions themselves.

TL;DR: It is suggested that remotely sensed spectral heterogeneity information provides a crucial baseline for rapid estimation or prediction of biodiversity attributes and hotspots in space and time.

TL;DR: In this article, the authors demonstrate how modern sensors onboard satellites, planes and unmanned aerial vehicles are revolutionizing the way we can detect and monitor both plant and animal species in terrestrial and aquatic ecosystems as well as allowing the emergence of novel predictor variables appropriate for species distribution modeling.

TL;DR: This contribution aims to advance the development of a global biodiversity monitoring strategy by updating the previously published definition of EBV, providing a definition of satellite remote sensing EBVs and introducing a set of principles that are believed to be necessary if ecologists and space agencies are to agree on a list of EBVs that can be routinely monitored from space.