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FLUO4ECO

Why this project matters

Plants are fundamental to life on Earth. Through the process of photosynthesis, plants contribute regulating the climate and influence how water and carbon circulate between land and atmosphere. To better understand how environmental change impacts photosynthesis and related exchange processes, researchers aim to measure gross primary production (GPP), which reflects the amount of carbon taken up by plants, and transpiration (T), which describes the release of water from plants.

Scientists currently use different methods to estimate plant productivity and water use, such as local ground-based measurements and satellite observations for larger scale assessments. However, quantifying these subtle processes by satellite-based approaches is highly challenging. In this project, we evaluated and explored new approach based on sun-induced chlorophyll fluorescence (SIF) to constrain estimates measurement of these processes.

Our achievements

Within the project we proposed a new retrieval approach for consistent across scale SIF estimates based on wavelet decomposition (WAFER). We investigated entry points of SIF in semi-mechanistic equations to estimate plant transpiration. We also explored possibilities to advance the retrieval of plant health indicators (water stress) and gas exchange processes (ET, GPP) in complex vegetation canopies (forests). Therefore, 3D-virtual forests models were simulated to systematically assess effects if complex canopy structure and shadowing on the estimate of forest information and gas exchange processes. The project resulted in large datasets (time series, imaging data) that we make openly available via the DataForest tool.

Project overview

Funding

Swiss National Science Foundation

Time frame

2021 – 2025

Project website

DataForest

Contact

Alexander Damm

Additional Information

Publications related to this project

Kesselring, Jasmin; Gege, Peter; Damm, Alexander; Odermatt, Daniel (2025). Divergence between in situ and satellite-based estimates of forest canopy water content. Remote Sensing of Environment, 332, doi: https://doi.org/10.1016/j.rse.2025.115097

Kesselring, Jasmin;Morsdorf, Felix; Kükenbrik, Daniel;Gastellu-Etchegorry ,Philiippe; Damm, Alexander (2024). Diversity of 3D APAR and LAI dynamics in broadleaf and coniferous forests: Implications for the interpretation of remote sensing-based products. Remote Sensing of Environment, 306, doi: https://doi.org/10.1016/j.rse.2024.114116

Ahmed, Kazi Rifat; Paul-Limoges, Eugenie; Rascher, Uwe; Hanus, Jan; Miglietta, Franco; Colombo, Roberto; Peressotti, Alessandro; Genangeli, Andrea; Damm, Alexander (2023). Empirical insights on the use of sun-induced chlorophyll fluorescence to estimate short-term changes in crop transpiration under controlled water limitation.
ISPRS Journal of Photogrammetry and Remote Sensing, 203, doi: https://doi.org/10.1016/j.isprsjprs.2023.07.016

Oehl, Veronika & Damm, Alexander (2023). WAFER: A new method to retrieve sun-induced fluorescence based on spectral wavelet decompositions. Remote Sensing of Environment, 298, doi: https://doi.org/10.1016/j.rse.2023.113786

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