Sarah Asam

TL;DR: Combining grassland production estimations with management information, while accounting for the variability among grasslands, is recommended to facilitate the development of large-scale continuous monitoring and remote sensing grassland products, which have been rare thus far.

TL;DR: In this article, the authors presented an improved algorithm for the retrieval of leaf area index (LAI) from MODIS satellite imagery that has been specifically customized for mountain grasslands in the Alps.

TL;DR: The study shows that the EVI deviation of the summer months of 2018 were among the most extreme in the study period compared to other years, and the spatial pattern and temporal development of vegetation condition between the drought years differ.

TL;DR: An assessment of the influence of snow cover variations on vegetation phenology is presented, based on a 17-year time-series of MODIS data, to assess the spatiotemporal patterns of earth-observation based snow and vegetation metrics over the Alps, as well as to understand the relative importance of snow as phenological driver with respect to other climate variables.

TL;DR: In this article, the authors measured LAI in 30 different meadows in the Bavarian alpine upland using the LAI-2000 and correlated with VI values and achieved R2 values ranging from 0.57 to 0.85.