Dirk Pflugmacher

TL;DR: The concept of change embodied in much of the traditional remote sensing literature was primarily limited to capturing large or extreme changes occurring in natural systems, omitting many more subtle processes of interest to ecologists as discussed by the authors.

TL;DR: In this article, the spectral trajectories and change metrics associated with forest disturbances and recovery were extracted from spectral profiles of annual Landsat time series (LTS) to predict current forest structure attributes (as compared to more traditional approaches, including airborne, discrete return lidar and single-date Landsat).

TL;DR: In this paper, the authors developed regression tree models to predict current forest aboveground biomass (AGB) for a mixed-conifer region in eastern Oregon (USA) using Landsat-based disturbance and recovery (DR) metrics.

TL;DR: Senf et al. show large-scale increases in forest mortality in Central Europe over the past 30 years, which were related to increasing growing stocks and temperature.

TL;DR: It is concluded that virtual constellations have the potential to notably improve observation capacity and thereby Earth science and monitoring programs in general.