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Forest structural diversity characterization in Mediterranean landscapes affected by fires using Airborne Laser Scanning data
Gelabert, P. J., Montealegre, A. L., Lamelas, M. T., & Domingo, D. (2020). Forest structural diversity characterization in Mediterranean landscapes affected by fires using Airborne Laser Scanning data. GIScience & Remote Sensing, 57(4), 497-509. https://doi.org/10.1080/15481603.2020.1738060
Abandonment and recultivation of agricultural lands in Slovakia — Patterns and determinants from the past to the future
Pazúr, R., Lieskovský, J., Bürgi, M., Müller, D., Lieskovský, T., Zhang, Z., & Prischchepov, A. V. (2020). Abandonment and recultivation of agricultural lands in Slovakia — Patterns and determinants from the past to the future. Land, 9(9), 316 (22 pp.). https://doi.org/10.3390/land9090316
Macroecology in the age of Big Data - where to go from here?
Wüest, R. O., Zimmermann, N. E., Zurell, D., Alexander, J. M., Fritz, S. A., Hof, C., Kreft, H., Normand, S., Cabral, J. S., Szekely, E., Thuiller, W., Wikelski, M., & Karger, D. N. (2020). Macroecology in the age of Big Data - where to go from here? Journal of Biogeography, 47(1), 1-12. https://doi.org/10.1111/jbi.13633
Machine learning techniques for predicting the energy consumption/production and its uncertainties driven by meteorological observations and forecasts
Bogner, K., Pappenberger, F., & Zappa, M. (2019). Machine learning techniques for predicting the energy consumption/production and its uncertainties driven by meteorological observations and forecasts. Sustainability, 11(12), 3328 (22 pp.). https://doi.org/10.3390/su11123328
The predictability of a lake phytoplankton community, over time-scales of hours to years
Thomas, M. K., Fontana, S., Reyes, M., Kehoe, M., & Pomati, F. (2018). The predictability of a lake phytoplankton community, over time-scales of hours to years. Ecology Letters, 21(5), 619-628. https://doi.org/10.1111/ele.12927
Robust snow avalanche detection using supervised machine learning with infrasonic sensor arrays
Thüring, T., Schoch, M., van Herwijnen, A., & Schweizer, J. (2015). Robust snow avalanche detection using supervised machine learning with infrasonic sensor arrays. Cold Regions Science and Technology, 111, 60-66. https://doi.org/10.1016/j.coldregions.2014.12.014
PERMAL: a machine learning approach for alpine permafrost distribution modeling
Deluigi, N., & Lambiel, C. (2013). PERMAL: a machine learning approach for alpine permafrost distribution modeling. In C. Graf (Ed.), Mattertal – ein Tal in Bewegung (pp. 47-62). Eidg. Forschungsanstalt für Wald, Schnee und Landschaft WSL.