Christiaan van der Tol

Christiaan van der Tol is an Associate Professor in the Department of Water Resources at the University of Twente's Faculty of Geo-Information Science and Earth Observation (ITC). He holds external roles as former Associate Editor of 'Remote Sensing of Environment' (2018–2021) and Member of the Mission Advisory Board for the FLEX satellite mission (2017–2023). His work contributes to UN Sustainable Development Goals focused on climate action, life on land, and responsible consumption.

Education: MSc in Hydrology (Wageningen University, 2001) and PhD in Earth Sciences (Vrije Universiteit Amsterdam, 2007) with a thesis on climatic constraints of carbon assimilation and transpiration in sub-Mediterranean forests. His research interests include the Earth's energy and water budget, remote sensing of photosynthesis and evaporation, vegetation-thermodynamics interactions, and micro-climate control. He co-developed the SCOPE model, which integrates physical processes and satellite sensor simulations to enhance remote sensing data interpretation.

His recent articles highlight advancements in evapotranspiration modeling, climate-vegetation interactions, and fluorescence-based crop monitoring. He collaborates extensively on global datasets (e.g., ESA CCI) and promotes open science through initiatives like SENSECO. No scientific awards are explicitly listed, but his impactful contributions are evident through the 8083 citations and h-index of 44.

Advising and Grants: Supervised 11 academic works (no student names provided). Grants are not explicitly mentioned, but his collaborative projects suggest substantial funding engagement. He leads the SCOPE model development team and participates in missions like FLEX, emphasizing interdisciplinary approaches to ecosystem monitoring.

Labs/Teams: Core contributor to the SCOPE model framework, with GitHub repositories showcasing its use in radiative transfer, crop growth simulations, and fluorescence retrieval. Collaborates with global institutions on datasets like 'Water and energy fluxes measurement in Speulderbos' (DANS, 2018) and 'Airborne HyPlant dataset' (University of Twente, 2019).