The Dutch Research Council NWO has awarded €3.2 million to Advancing hyperSpectral imaging for Cross-scale Ecosystem fuNctioning and vegeTation research (ASCENT), a new research consortium that will use satellite technology, field measurements and airborne observations to monitor vegetation change and better understand ecosystem function. The University of Twente is a major partner in the project through the Faculty of Geo-Information Science and Earth Observation, ITC. ASCENT brings together a starting community of 25 scientists and partners with complementary expertise. Together, they will work on a full knowledge chain: from quantifying vegetation traits and producing Essential Biodiversity Variables (EBVs), to understanding ecosystem function and translating scientific insights into practical decisions for ecosystem management using digital twin.
Understanding vegetation change from space
Vegetation is changing rapidly under the influence of climate change, land-use change and other environmental pressures. Satellite observations provide valuable information about these changes across large areas and over longer periods of time. However, current methods are not yet robust and scalable enough to integrate different types of remote sensing observations and quantify changes in vegetation traits consistently across space and time. ASCENT will address this challenge by combining diverse Earth observation data with in-situ measurements. The project will also organise two hyperspectral flight campaigns. These campaigns will provide detailed airborne observations that help bridge the scale between field measurements and satellite data, supporting the production of reliable EBVs for monitoring vegetation change.
Linking observations to ecosystem function
A central challenge in vegetation research is to understand what changes observed from space mean for ecosystem function on the ground. Without this link, it remains difficult to identify the drivers of vegetation change and to predict the consequences for biodiversity, climate regulation, water cycles and other ecosystem processes. The ASCENT consortium will develop methods to connect Earth observation-based changes in vegetation traits to ecosystem function. By doing so, the project aims to improve ecological models and strengthen the scientific basis for understanding how ecosystems respond to environmental change.
From scientific insight to action
The project also focuses on turning scientific knowledge into usable information for practice via a digital twin powered by AI. Insights from Earth observation and ecological models are not always translated effectively into decisions by the people and organisations managing ecosystems. ASCENT will therefore work on making its results relevant for ecosystem management, policy and other practice-oriented domains. This will support better-informed decisions and interventions by those working with ecosystems on the ground.
UT’s role in ASCENT
Within the consortium, the University of Twente plays a major role. ITC will lead two core work packages and contribute to seven additional work packages. In addition to its scientific contribution, UT will be responsible for knowledge utilisation activities. Through this role, UT will help ensure that knowledge developed in ASCENT reaches researchers, stakeholders and end users. The project strengthens UT’s position in Earth observation, geospatial science and data-driven approaches to understanding vegetation change and ecosystem function.
About ASCENT
Advancing hyperSpectral imaging for Cross-scale Ecosystem fuNctioning and vegeTation research (ASCENT) is funded through NWO’s programme for the use of space infrastructure for Earth observation and planetary research. The project focuses on vegetation research and biodiversity monitoring and the integration of satellite, airborne and in-situ data to quantify vegetation traits, produce Essential Biodiversity Variables, and better understand ecosystem function.
Partners
ITC–University of Twente will collaborate with Wageningen University & Research, Leiden University’s Institute of Environmental Sciences, Utrecht University’s Copernicus Institute of Sustainable Development, Vrije Universiteit Amsterdam, Delft University of Technology, the Netherlands Institute of Ecology (NIOO-KNAW), and SRON Netherlands Institute for Space Research.
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