Lars Tum

Background

About Lars Tum

I am a Research Assistant specialized in Remote Sensing and Earth Observation at the Institute of Geography at Ruhr-University Bochum, Germany. Interests of my research and work include- Global Warming Processes, Climate Change and Adaptation My major research and work in this field include observing changes in sea ice phenology, monitoring greenhouse gases on a city scale, and discussing upcoming climate plans, targets, and policies with stakeholders and policymakers- Spatial Data Analysis & Visualization Being deeply passionate about spatial analysis, I recognize its pivotal role in modern industry decision-making. Geospatial data analytics offers unique insights and contextual understanding, empowering decision-makers to make informed decisions, optimize strategies, and prevent hazards. By leveraging spatial analysis, I aim to contribute to mitigating hazards and enhancing strategies to detect risks upfront- Disaster Risk Reduction & Catastrophe Risk Analysis I am passionate about offering my skills where it has a big impact. Modern remote sensing is a great asset for disaster risk reduction, therefore I have been very passionate about this topic since my major studies. I collaborate in open source humanitarian action projects and constantly apply and teach DRR in my current position- Deep Learning, Machine Learning, and AI The transformative role of AI in advancing remote sensing and Earth observation, particularly in how it enables more precise, scalable, and real-time analysis of environmental phenomena fascinates me. In my future roles, I aim to leverage deep learning, computer vision, and spatiotemporal modeling to detect, predict, and monitor natural hazards, extreme weather events, and slow-onset climate processes. This includes applying AI to SAR data for landslide mapping, flood detection, or ship tracking alongside optical time-series. Integrating such techniques is essential to tackle complex environmental challenges with actionable geospatial intelligence.