Merbold L., Cluset R., Mottet A.
Towards agroecological food systems transformation: Experience with TAPE.
RURAL 21, 58, (2), 2024, 46-48.

Anderegg J., Kirchgessner N., Aasen H., Zumsteg O., Keller B., Zenkl R., Walter A., Hund A.
Thermal imaging can reveal variation in stay-green functionality of wheat canopies under temperate conditions.
Frontiers in Plant Science, 15, 2024, Article 1335037.

Aasen H., Gilgen A., Ledain S.
Improving large-scale hybrid LAI retrieval with local soil data and noise.
Dans: PANGEOS COST Action. 4. July, Sofia (BG). 2024, 1-15.

Baumgartner S., Spiess E., Liebisch F., Gilgen A.
Regionale Stickstoffbilanzen: Erste Ergebnisse von MAUS (Monitoring des Agrarumweltsystems Schweiz).
Agroscope Science, 185, 2024.

Schneuwly J., Gilgen A., Bretscher D.
Modelling greenhouse gas emissions at farm level across Switzerland.
Dans: General Assembly of the European Geosciences Union EGU. 18. April, Ed. EGU, Wien. 2024, 1.

Baumgartner S., Felder R., Herzog F., Jeanneret P., Séchaud R., Paunovic S., Lucatoni D., Cluset R., Mottet A., Merbold L., Gilgen A.
An improved biodiversity index for FAO's Tool for Agroecology Performance Evaluation (TAPE).
Dans: EGU General Assembly 2024. 18 April, Wien. 2024, 1.

Drake T., Baumgartner S., Barthel M., Bauters M., Alebadwa S., Bahizire N., Haghipour N., Eglinton T., Van Oost K., Boeckx P., Six J.
Agricultural land‐use increases carbon yields in lowland streams of the Congo basin.
Journal of Geophysical Research: Biogeosciences, 129, 2024, 1-14.

Türkoglu M. Ö., Aasen H., Schindler K., Wegner J.
Country-wide cross-year crop mapping from optical satellite image time series.
Dans: EGU24. 14 April, Vienna. 2024, 1.

Douziech M., Bystricky M., Furrer C., Gaillard G., Lansche J., Roesch A., Nemecek T.
Recommended impact assessment method within Swiss Agricultural Life Cycle Assessment (SALCA): v2.01.
Agroscope Science, 183, 2024.

Aasen H.
10 years at the intersection of plant phenotyping and remote sensing.
Dans: Optimal and cost-effective UAV sensor synergies for trait-based field phenotyping and precision agriculture. 8 May, Ed. PANGEOS, Poznan (PL). 2024.

Ledain S., Stumpf F., Gilgen A., Aasen H.
Radiative transfer model-based LAI retrieval from Sentinel-2 data through machine learning, adding phenological constraints and soil information.
Dans: EGU General Assembly. 14 - 19 April, Vienna. 2024, 1.

Larcher D., Ledain S., Aasen H.
Comparing radiative transfer model-based LAI retrieval with in-situ observations and mechanistic modelling for grassland growth assessment.
Dans: EGU General Assembly. 14 - 19 April, Vienna. 2024, 1.

Kooistra L., Berger K., Brede B., Graf L. V., Aasen H., Roujean J.-L., Machwitz M., Schlerf M., Atzberger C., Prikaziuk E., Ganeva D., Tomelleri E., Croft H., Reyes Muñoz P., Garcia Millan V. et autres
Reviews and syntheses: Remotely sensed optical time series for monitoring vegetation productivity.
Biogeosciences, 21, (2), 2024, 473-511.

Beal T., Gardner C., Herrero M., Iannotti L., Merbold L., Nordhagen S., Mottet A.
Friend or foe? The Role of animal-source foods in healthy and environmentally sustainable diets.
The Journal of Nutrition, 153, (2), 2023, 409-425.

Graf L., Merz Q., Walter A., Aasen H.
Insights from field phenotyping improve satellite remote sensing based in-season estimation of winter wheat growth and phenology.
Remote Sensing of Environment, 299, 2023, 1-16.

Gilgen A., Felder R., Baumgartner S., Herzog F., Jeanneret P., Séchaud R., Paunovic S., Merbold L., Lucantoni D., Cluset R., Mottet A.
How to assess the agroecological status of Swiss farming systems?: Application of the Tool for Agroecology Performance Evaluation (TAPE) and further development.
Agroscope Science, 172, 2023.

Kohler F., Baumgartner S.
Regionalisierung der N- und P-Bilanzen: Komplementäre Machbarkeitsstudien beim BFS und AGROSCOPE.
Dans: AgrStat Begleitgruppensitzung BFS. 30. Oktober, Neuchatel. 2023, 1-24.

Baumgartner S.
The Swiss agri-environmental data network (SAEDN).
Dans: Pacioli Workshop. 2 October, Ptuj. 2023, 1-16.

Drake T. W., Barthel M., Mbongo C. E., Mpambi D. M., Baumgartner S., Botefa C. I., Bauters M., Kurek M. R., Spencer R. G. M., McKenna A. M., Haghipour N., Ekamba G. L., Wabakanghanzi J. N., Eglinton T. I., Van Oost K. et autres
Hydrology drives export and composition of carbon in a pristine tropical river.
Limnology and Oceanography, 68, (11), 2023, 2476-2491.

Blaser S., Gilgen A., Baumgartner S., Schneuwly J.
Ein barto-Baustein für MAUS.
Dans: 46. Agrarökonomie-Tagung. 21. November, Ed. Agroscope, Tänikon (CH). 2023, 1-24.

Baumgartner S., Schneuwly J.
Einführung Georeferenzierungsprojekt der ZA-AUI Parzellen.
Dans: Treuhändertagung. 31. Januar, Olten. 2023.

Gilgen A., Blaser S., Schneuwly J., Liebisch F., Merbold L.
The Swiss agri-environmental data network (SAEDN): Description and critical review of the dataset.
Agricultural Systems, 205, 2023, 1-9.

Merz Q., Walter A., Aasen H.
Using high-resolution drone data to assess apparent agricultural field heterogeneity at different spatial resolutions.
Dans: 42. GIL-Jahrestagung, Künstliche Intelligenz in der Agrar- und Ernährungswirtschaft. 22. Februar, Ed. Gesellschaft für Informatik e.V. 2022, 195-200.

Graf L., Aasen H., Perich G.
EOdal: An open-source Python package for large-scale agroecological research using Earth Observation and gridded environmental data.
Computers and Electronics in Agriculture, 203, 2022, 1-5.

Aasen H., Roth L.
Advances in high-throughput crop phenotyping using unmanned aerial vehicles (UAVs).
Dans: Advances in plant phenotyping for more sustainable crop production. Ed. Walter, Achim, Burleigh Dodds. 2022, 179-200.

Graf L. V., Bernardino P., Steinhauser S., Un Nisa Z., Berger K., Ganeva D., Palazón S. B., Verrelst J., Aasen H.
Impacts of radiometric uncertainty on the estimation of land surface phenology metrics.
Dans: ESA Living Planet Symposium. 23. Mai, Ed. European Space Agency, Bonn. 2022, 1.

Merz Q. N., Walter A., Maier R., Hörtnagl L., Buchmann N., Kirchgessner N., Aasen H.
Relationship of leaf elongation rate of young wheat leaves, gross primary productivity and environmental variables in the field with hourly and daily temporal resolution.
Agricultural and Forest Meteorology, 320, 2022, 1-10.