Projets de cartographie

Publications internationales

Vous trouverez sur cette page des publications de collaborateurs/collaboratrices du CCSols. Il s’agit de publications scientifiques publiées dans des journaux internationaux. Celles-ci ont été évalué par les pairs. Les collaborateurs/collaboratrices ont rédigé-e-s ces articles en dehors de leur activité au CCSols. Le publique cible est la recherche.

2025 – Thomas, F., Becker, C., Petzold, R. Schmidt, K., Scholten, T., Werban, U.: Integrated framework for assessment and spatial prediction of humus layer properties of forest soils. Discov. Soil 2, 49.
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2025 – Batista, P.V.G., Möller, M., Schmidt, K., Waldau, T., Seufferheld, K., Htitiou, A., Golla, B., Ebertseder, F., Auerswald, K., Fiener, P.: Soil-erosion events on arable land are nowcast by machine learning, CATENA, Volume 256, 2025,109080,ISSN 0341-8162, https://doi.org/10.1016/j.catena.2025.109080.
2024 – Stumpf F., Behrens T., Schmidt K., Keller A.: Exploiting Soil and Remote Sensing Data Archives for 3D Mapping of Multiple Soil Properties at the Swiss National Scale. Remote Sens. 2024, 16, 2712.
2024 – Viscarra Rossel, R., Shen, Z., Ramirez Lopez, L., Behrens, T., Shi, Z., Wetterlind, J., Sudduth, K., Stenberg, Bo., Guerrero, C., Gholizadeh, A., Ben-Dor, E., St Luce, M., Orellano, C. An imperative for soil spectroscopic modelling is to think global but fit local with transfer learning.
2022 – Behrens, T., Viscarra Rossel, R. A., Ramirez-Lopez, L., Baumann, P. Soil spectroscopy with the Gaussian pyramid scale space. Geoderma 426(5):116095.
2022 – Viscarra Rossel, R. A., Behrens, T., Ben-Dor, E., Chabrillat, S., Demattê, J. A. M., Ge, Y., Gomez, C., Guerrero, C., Peng, Y., Ramirez-Lopez, L., Shi, Z., Stenberg, B., Webster, R., Winowiecki, L., Shen, Z. Diffuse reflectance spectroscopy for estimating soil properties: a technology for the 21st century. European Journal of Soil Science, e13271.
2022 – Rentschler, T., Bartelheim, M., Behrens, T., Díaz-Zorita Bonilla, M., Teuber, S., Scholten, T., Schmidt, K. Contextual spatial modelling in the horizontal and vertical domains. Sci Rep 12, 9496.
2022 – Baumann, P., Lee, J., Behrens, T., Biswas, A., Six, J., McLachlan, G., Viscarra Rossel, R. A. Modelling soil water retention and water-holding capacity with visible–near-infrared spectra and machine learning. European Journal of Soil Science, 73( 2), e13220
2021 – Baumann, P., Helfenstein, A., Gubler, A., Keller, A., Meuli, R. G., Wächter, D., Lee, J., Viscarra Rossel, R., & Six, J. Developing the swiss mid-infrared soil spectral library for local estimation and monitoring. Soil, 7, 525–546.
2020 – Behrens, T., Viscarra Rossel, R. A: On the interpretability of predictors in spatial data science: the information horizon. Scientific Reports 10: 16737.
2020 – Gries, P., Schmidt, K., Scholten, T. & Kühn, P.: „Regional and local scale variations in soil organic carbon stocks in West Greenland“, Journal of Plant Nutrition and Soil Science, Vol. 183, No. 3, S. 292–305.
2020 – Rentschler, T., Werban, U., Ahner, M., Behrens, T., Gries, P., Scholten, T., Teuber, S. & Schmidt, K.:„3D mapping of soil organic carbon content and soil moisture with multiple geophysical sensors and machine learning“, Vadose Zone Journal, Vol. 19, No. 1.
2020 – Stumpf F., Schneider M. K., Keller A., Mayr A., Rentschler T., Meuli R. G., Schaepmann M., Liebisch F.: Spatial monitoring of grassland management using multi-temporal satellite imagery. Ecological Indicators, 113, (Article number 106201), 2020, 1-12.
2019 – Behrens, T., MacMillan, R. A., Rossel, R. A. V., Schmidt, K. & Lee, J. (2019) „Teleconnections in spatial modelling“, Geoderma, Vol. 354, S. 113854.
2019 – Behrens, T., Rossel, R. A. V., Kerry, R., MacMillan, R., Schmidt, K., Lee, J., Scholten, T. & Zhu, A.-X.:„The relevant range of scales for multi-scale contextual spatial modelling“, Scientific Reports, Vol. 9, No. 1.
2019 – Gubler A., Wächter D., Schwab P., Müller M., Keller A.:. Twenty-five years of observations of soil organic carbon in Swiss croplands showing stability overall but with some divergent trends. Environmental Monitoring and Assessment, 191, (277), 2019, 1-17.
2018 – Behrens, T., Schmidt, K., MacMillan, R.A., Viscarra Rossel, R.: Multi-scale Digital Soil Mapping with deep learning. Scientific Reports 8: 15244
2018 – Behrens, T., Schmidt, K., Rossel, R.A., Gries, P., Scholten, T., MacMillan, R.A.: Spatial modelling with Euclidean distance fields and machine learning. Eur J Soil Sci.69/5.
2018 – Drobnik T., L. Greiner, A. Keller, A. Grêt-Regamey. Soil quality indicators – from soil functions to ecosystem services. Ecological Indicators 94: 151-169. https://doi.org/10.1016/j.ecolind.2018.06.052
2018 – Greiner L., M. Nussbaum, A. Papritz, M. Fraefel, S. Zimmermann, P. Schwab, A. Grêt-Regamey and A. Keller. Assessment of soil multi-functionality to support the sustainable use of soil resources on the Swiss Plateau. Geoderma Regional 14: https://doi.org/10.1016/j.geodrs.2018.e00181
2018 – Greiner, L., Nussbaum, M., Papritz, A., Zimmermann, S., Gubler, A., Grêt-Regamey, A., and Keller, A.: Uncertainty indication in soil function maps – transparent and easy-to-use information to support sustainable use of soil resources, SOIL, 4, 123-139.
2018 – Stumpf F., A. Keller, K. Schmidt, A. Mayr, A. Gubler, M. Schaepman. Spatio-Temporal Land Use Dynamics and Soil Organic Carbon Effects on Agricultural Areas in Switzerland. Agriculture, Ecosystems & Environment. 258: 129-142.
2018 – Teng H., Viscarra Rossel, R.A., Shi, Z., Behrens, T.: Updating a national soil classification with spectroscopic predictions and digital soil mapping. Catena 164.
2017 – Nussbaum, M., Spiess, K., Baltensweiler, A., Grob, U., Keller, A., Greiner, L., Schaepman, M. E., and Papritz, A. Evaluation of digital soil mapping approaches with large sets of environmental covariates. SOIL Discussions, 2017, 1-32.
2017 – Behrens, T., Schmidt, K., MacMillan, R.A., Viscarra Rossel, R.A.: Multiscale contextual spatial modelling with the Gaussian scale space. Geoderma 310: 128–137.
2017 – Behrens, T., Schmidt, K., Rossel, R.A., Gries, P., Scholten, T., MacMillan, R.A.: Spatial modelling with Euclidean distance fields and machine learning. Eur J Soil Sci.69/5.
2017- Greiner L., A. Keller, A. Grêg-Regamey, and A. Papritz. Soil function assessment methods for quantifying the contributions of soils to ecosystem services. Land Use Policy 69: 224-237. DOI: 10.1016/j.landusepol.2017.06.025.
2017 – Stumpf, F., Schmidt, K., Goebes, P., Behrens, T., Schönbrodt-Stitt, S., Wadoux, A., Xiang, W., Scholten, T.: Uncertainty-guided sampling to improve digital soil maps. Catena 153, 30–38.
2016 – Stumpf F., Schmidt K., Behrens T., Schönbrodt-Stitt S., Buzzo G., Dumperth C., Wadoux A., Xiang W., Scholten T. Incorporating Limited Field Operability and legacy Samples in a Hypercube Sampling Design for Digital Soil Mapping. Journal of Plant Nutrition and Soil Science 179, 499–509. https://doi.org/10.1002/jpln.201500313.
2016 – Viscarra Rossel, R.A., Behrens, T., Ben-Dor, E., Brown, D.J., Dematte, J.A.M., Shepherd, K.D., Shi, Z., Stenberg, B., Stevens, A., Adamchuk, V., et al.: A global spectral library to characterize the world’s soil. Earth-Sci. Rev. 2016, 155, 198–230.
2014 – Schmidt, K., Behrens, T., Daumann, J., Ramirez-Lopez, L., Werban, U., Dietrich, P., Scholten, T.: A comparison of calibration sampling schemes at the field scale. Geoderma 232-234, 243–256.
2014 – Behrens, T., Schmidt, K., Ramirez-Lopez, L., Gallant, J., Zhu, A-X., Scholten, T.: Hyper-scale digital soil mapping and soil formation analysis. Geoderma 213, 578–588.
2010 – Behrens, T., Schmidt, K., Zhu, A. X. und Scholten, T.: The ConMap approach for terrain-based digital soil mapping. European Journal of Soil Science 61, 1, 133–143.
2010 – Schmidt, K., Behrens, T., Friedrich, K., Scholten, T.: A method to generating soilscapes from soil maps. J. Plant Nutr. Soil Sci., 173, 2, 163–172.
2010 – Behrens, T., Zhu, A. X., Schmidt, K. und Scholten, T.: Multi-scale digital terrain analysis and feature selection in digital soil mapping. Geoderma 155, 3–4, 175–185.
2010 – Viscarra-Rossel, R., Behrens, T.: A comparison of data mining techniques to model and interpret soil diffuse reflectance spectra. Geoderma 158, 1-2, 46–54.
2010 – Grimm, R., Behrens, T.: Uncertainty analysis of sample locations within digital soil mapping approaches. Geoderma, 155, 3-4, 154–163.
2009 – Behrens, T., Schneider, O., Lösel, G., Scholten, T., Hennings, V., Felix-Henningsen, P., Hartwich, R.: Analysis on pedodiversity and spatial subset representativity – The German soil map 1:1.000.000. J. Plant Nutr. Soil Sci., 172, 1, 91–100.