Kristin Böttcher

TL;DR: In this paper, the authors used ground observations, remote sensing, and analysis of the atmospheric CO2 signal to estimate the progression of vegetation activity in the spring season, and found that the correlation between estimates of the initiation of spring activity derived from ground observations and remote sensing at interannual time scales is often weak.

TL;DR: In this article, the authors developed and analyzed a global soil visible-near infrared (vis-NIR) spectral library, which is currently the largest and most diverse database of its kind, and showed that the information encoded in the spectra can describe soil composition and be associated to land cover and its global geographic distribution, which acts as a surrogate for global climate variability.

TL;DR: In this article, the authors look at one country with a relatively advanced biodiversity monitoring scheme and study how well Finland's current biodiversity state indicators correspond with essential biodiversity variables (EBVs) and how national biodiversity monitoring could be improved by using available remote sensing (RS) applications.

TL;DR: In this article, the authors investigated the representativeness of reference fractional snow cover (DFSC) generated from Landsat Thematic Mapper (TM) and enhanced thematic mapper plus (ETM+) data, with a particular interest in forested areas.

TL;DR: In this article, the authors adopted the "syndrome approach" to assess and map rural land abandonment (RLA) that occurred during the period 1990-2005 within the wider Mediterranean area.