Teja Kattenborn

The ECOSENSE forest: a distributed sensor and data management system for real-time monitoring of ecosystem processes and stresses

Abstract. Forests provide crucial ecosystem services, but are vulnerable to climate-related physical and biological stresses, such as droughts, pests and pathogens. The rapid climate change currently observed increases the pressure on forest ecosystems, with already drastic conse...

Remote sensing and deep learning for standing dead-tree detection and mapping: a review of advances, challenges, and future directions

Standing dead trees are visible indicators of tree mortality and an important transitional component linking forest disturbance to future lying deadwood, habitat availability, and carbon storage. As drought, insect outbreaks, pathogens, and climate extremes intensify tree mortali...

AngleCam V2: Predicting leaf inclination angles across taxa from daytime and nighttime photos

Abstract Understanding how plants capture light and maintain their energy balance is crucial for predicting how ecosystems respond to environmental changes. By monitoring leaf inclination angle distributions (LIADs), we can gain insights into plant behaviour that directly influen...

Introducing GalaxyR: an easy-to-use R implementation of the Galaxy API

Abstract Background Standardisation, accessibility, and reproducibility remain persistent challenges in data‑intensive scientific research. The Galaxy platform addresses these issues by providing a web-based environment for executing, sharing, and publishing computational workflo...