REMOTE sensing and in situ observations to study TREEs in natural and manmade landscapes
Welcome
SCOPE & OBJECTIVES
Trees are live beings essential to terrestrial and human life. They play a major role in “keeping the earth’s green lung functioning”, regulating carbon and water cycles, preserving biodiversity, providing food and shadows, and overall maintaining a pleasant environment for life. However, the ecosystem services offered by trees are threatened by the increased impact of worldwide climate change and human activities, which are often combined.
The use of remote sensing data brings non destructive and high temporal observations with a global coverage to monitor tree ecosystems. They are used to derive spectral indices/metrics and vegetation biophysical/biochemical traits that are indirectly or directly the expression of the functional state of trees. But disentangling the contribution of abiotic and biotic stress factors on the health of trees remains a main current issue. They are mostly depending on the tree species and its surrounding environment, which is highly diverse between forests, urban areas and orchards, due to different atmospheric conditions, tree spatial arrangements and understory composition. The difficulty from the remote sensing prospect is to (i) account for all these dependencies through spectral, spatial and temporal scales, (ii) highlight the intra- and inter-specific variability of tree species traits and how they correlate with tree health status and (iii) target a global approach to generalize to several tree ecosystem types. In these aims, the presented work and available data focused on an accurate quantitative estimation of tree biophysical and biochemical traits from multi-scale (from leaf to canopy), multi-modal and multi-platform remote sensing data, especially from inversion methods based on 3D physical modelling, using imaging spectroscopy, and targeting the tree individual for better management practices.
STUDY CASES
Three tree ecosystems are studied with applications as diverse as forest drought impact and fire risk prevention, sustainable city planning and the benefit of agroecological practices. For more information, please visit the dedicated pages:
This work is performed in collaboration with scientists from international and national laboratories (Univ. of California Davis, CSTARS; Univ. of California Berkeley, Biomet Lab; CSIC, SpecLab and Tec4AGRO; UT3-CESBIO; CNRS-LETG; CNRS/IRD-CEFE; INRAE-TETIS/EMMAH/PSH/GAFL; Purpan-DYNAFOR), colleagues from ONERA-DOTA/DTIS/DEMR and thanks to the funding provided by ONERA, CNES, NASA, ANR, EUR-TESS, Occitanie Region and Rennes metropolis.
This website is managed by Karine Adeline, researcher at ONERA – The French Aerospace Lab – located in Toulouse, France, based on her work and partners work through collaborative projects and the work of student supervisions. It is funded by ANR – The French Research Agency – under the project JCJC CANOP (grant: ANR-22-CE04-0002) and hosted by SEDOO, the data repository of OMP (Observatoire Midi-Pyrénées).
News
news
Oaks, plane trees… The health of our city’s trees can now be monitored by satellite
With satellite data, a CNRS award-winning geographer, a biologist and an imaging specialist have taken a close look at the trees in the city of Rennes. The aim: to identify, in addition to physical observation, trees that are not doing well, such as oak trees after the heatwave. A very useful aid for gardeners. France […]
Editorial activity
Special Issue “Remote Sensing of Savannas and Woodlands II” in Remote Sensing journal
If any question, please contact the guest-editors : Karine Adeline : karine.adeline@onera.fr, Ana Andreu : ana.andreu@uco.es, Vicente Burchard-Levine : vburchard@ica.csic.es
hyperspectral
8th French workshop on hyperspectral remote sensing, Paris, France, 5th-6th July 2023
The 8th scientific workshop of the SFPT-GH (the Hyperspectral Group of the French Society for Photogrammetry and Remote Sensing) will be held in Paris on July 5th and 6th, 2023, at the Université Paris Cité. It will cover the latest advances in sensors, methods and algorithms for processing hyperspectral data. Space missions in preparation and […]
Editorial activity
Special Issue “Hyperspectral Imaging” in RFPT journal
RFPT (the Photogrammetry and Remote sensing French Journal) has published a special issue on hyperspectral imaging, presenting work carried out by the French scientific and technical community in a wide range of technical, methodological and application fields. France is one of the world’s leading countries in terms of the number of scientific publications in this […]
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