Hi there! I’m Chris, a freelance geographer and scientist. I specialise in remote sensing and climate science, developing cutting-edge analytical methods that help us better understand our planet and the challenges of tomorrow.
When I’m not immersed in the world of data science, you can find me lost in a good book, expressing myself through art, or enjoying precious moments with my little one.
I’m currently available for individual and project-based assignments and would love to work with you!
Here’s where I can make a difference:
Unleashing the power of remote sensing
Analysing and interpreting multispectral data from satellites and drones to reveal hidden patterns and insights.
Climate data mastery
Utilizing geostatistical methods to analyze climate data, extracting valuable information for informed decision-making.
Building intelligent models
Developing object-based machine learning models and algorithms to automate analysis and unlock new possibilities.
GIS expertise
Leveraging GIS tools to conduct spatial analyses and create compelling visualizations that tell a story.
Scientific collaboration
Contributing my expertise to projects focused on geography, geosciences, and AI object recognition, pushing the boundaries of knowledge.
Tutoring and training
You or your team want to learn how to work with a GIS? Contact me for a personal training session.
Furthermore:
- Bringing data to life: Creating digital and interactive maps that transform complex information into engaging visuals,making it easier to understand and share.
- Building your online presence: Designing and developing WordPress websites that showcase your work, attract your target audience, and leave a lasting impression.
- Promoting your message: Crafting eye-catching promotional materials such as video clips, roll-up banners, and scientific posters that effectively communicate your research and expertise.
Publications
Advanced Detection of Invasive Neophytes in Agricultural Landscapes: A Multisensory and Multiscale Remote Sensing Approach.
Thürkow, F.; Lorenz, C.G.; Pause, M.; Birger, J. (2024): Advanced Detection of Invasive Neophytes in Agricultural Landscapes: A Multisensory and Multiscale Remote Sensing Approach. Remote Sens. 2024, 16, 500. https://doi.org/10.3390/rs16030500
KI-basierte Detektion von Feldhamsterbauen auf landwirtschaftlichen Nutzflächen mittels multi-sensoraler UAS-Daten.
Thürkow, F.; Lorenz, C.; Ramstetter, J.; Hoppe, I.; Haase, M. (2023): KI-basierte Detektion von Feldhamsterbauen auf landwirtschaftlichen Nutzflächen mittels multi-sensoraler UAS-Daten. INFORMATIK 2023 – Designing Futures: Zukünfte gestalten. Bonn: Gesellschaft für Informatik e.V.. DOI: 10.18420/inf2023_166.
Application of mobile weather data for the analysis and assessment of microclimates.
Lorenz, C (2022): Anwendung von mobilen Wetterdaten zur Analyse und Einschätzung von Mikroklimaten | Application of mobile weather data for the analysis and assessment of microclimates. Masterarbeit | Master Thesis. Martin-Luther-Universität Halle-Wittenberg. https://lorenz-christopher.com/wp-content/uploads/2024/01/Masterarbeit_Christopher_Lorenz_219226310.pdf.