| Towards more flexible and improved European Forest Information and its governance structures. Summary and take-home messages of the EFINET project
Chirici, G., Nabuurs, G. J., Francini, S., Senf, C., Seidl, R., Pugh, T., … Valbuena, R. (2025). Towards more flexible and improved European Forest Information and its governance structures. Summary and take-home messages of the EFINET project. European Forest Institute. https://doi.org/10.36333/rs11 |
| Forest practitioners' requirements for remote sensing-based canopy height, wood-volume, tree species, and disturbance products
Fassnacht, F. E., Mager, C., Waser, L. T., Kanjir, U., Schäfer, J., Buhvald, A. P., … Skudnik, M. (2025). Forest practitioners' requirements for remote sensing-based canopy height, wood-volume, tree species, and disturbance products. Forestry, 98(2), 233-252. https://doi.org/10.1093/forestry/cpae021 |
| Detailed validation of large-scale Sentinel-2-based forest disturbance maps across Germany
Reinosch, E., Backa, J., Adler, P., Deutscher, J., Eisnecker, P., Hoffmann, K., … Oehmichen, K. (2025). Detailed validation of large-scale Sentinel-2-based forest disturbance maps across Germany. Forestry, 98(3), 437-453. https://doi.org/10.1093/forestry/cpae038 |
| Towards a global understanding of tree mortality
Senf, C., Esquivel-Muelbert, A., Pugh, T. A. M., Anderegg, W. R. L., Anderson-Teixeira, K. J., Arellano, G., … van der Maaten-Theunissen, M. (2025). Towards a global understanding of tree mortality. New Phytologist, 245(6), 2377-2392. https://doi.org/10.1111/nph.20407 |
| Characterization of forest edge structure from airborne laser scanning data
Bruggisser, M., Wang, Z., Ginzler, C., Webster, C., & Waser, L. T. (2024). Characterization of forest edge structure from airborne laser scanning data. Ecological Indicators, 159, 111624 (12 pp.). https://doi.org/10.1016/j.ecolind.2024.111624 |
| Ergebnisse des Fernerkundungsbasierten Nationalen Erfassungssystems Waldschäden (FNEWs)
Oehmichen, K., Ackermann, J., Adler, P., Backa, J., Beckschäfer, P., Deutscher, J., … Wimmer, A. (2024). Ergebnisse des Fernerkundungsbasierten Nationalen Erfassungssystems Waldschäden (FNEWs). (Project Brief Thünen-Institut für Waldökosysteme, Report No.: 2177). Thünen-Institut für Waldökosysteme. https://doi.org/10.3220/PB1712056632000 |
| Produkte für die Fernerkundung richtig nutzen durch Validierung
Adler, P., Beckschäfer, P., Hoffmann, K., Jütte, K., Kirchhöfer, M., Koukal, T., … Zielewska-Büttner, K. (2023). Produkte für die Fernerkundung richtig nutzen durch Validierung. AFZ, der Wald, 78(13), 38-41. |
| Mapping tree species composition in a Caspian temperate mixed forest based on spectral-temporal metrics and machine learning
Nasiri, V., Beloiu, M., Darvishsefat, A. A., Griess, V. C., Maftei, C., & Waser, L. T. (2023). Mapping tree species composition in a Caspian temperate mixed forest based on spectral-temporal metrics and machine learning. International Journal of Applied Earth Observation and Geoinformation, 116, 103154 (12 pp.). https://doi.org/10.1016/j.jag.2022.103154 |
| Evaluating resampled and fused Sentinel-2 data and machine-learning algorithms for mangrove mapping in the northern coast of Qeshm island, Iran
Soffianian, A. R., Toosi, N. B., Asgarian, A., Regnauld, H., Fakheran, S., & Waser, L. T. (2023). Evaluating resampled and fused Sentinel-2 data and machine-learning algorithms for mangrove mapping in the northern coast of Qeshm island, Iran. Nature Conservation, 52, 1-22. https://doi.org/10.3897/natureconservation.52.89639 |
| Landesweite Datensätze zum Wald mittels Fernerkundung - der Beginn einer neuen Ära
Waser, L., & Ginzler, C. (2023). Landesweite Datensätze zum Wald mittels Fernerkundung - der Beginn einer neuen Ära. In Eidg. Forschungsanstalt für Wald, Schnee und Landschaft, WSL (Ed.), WSL Berichte: Vol. 134. Neue Fernerkundungstechnologien für die Umweltforschung und Praxis (pp. 23-30). https://doi.org/10.55419/wsl:33059 |
| Fernerkundungsdaten zur Schaderfassung in der forstlichen Praxis
Ackermann, J., Adler, P., Koukal, T., Martin, K., & Waser, L. T. (2022). Fernerkundungsdaten zur Schaderfassung in der forstlichen Praxis. AFZ, der Wald, 77(2), 20-24. |
| Species level classification of Mediterranean sparse forests-maquis formations using Sentinel-2 imagery
Demirbaş Çağlayan, S., Leloglu, U. M., Ginzler, C., Psomas, A., Zeydanlı, U. S., Bilgin, C. C., & Waser, L. T. (2022). Species level classification of Mediterranean sparse forests-maquis formations using Sentinel-2 imagery. Geocarto International, 37(6), 1587-1606. https://doi.org/10.1080/10106049.2020.1783581 |
| Mapping disturbance in mangrove ecosystems: incorporating landscape metrics and PCA-based spatial analysis
Toosi, N. B., Soffianian, A. R., Fakheran, S., & Waser, L. T. (2022). Mapping disturbance in mangrove ecosystems: incorporating landscape metrics and PCA-based spatial analysis. Ecological Indicators, 136, 108718 (10 pp.). https://doi.org/10.1016/j.ecolind.2022.108718 |
| Assessing changes in mountain treeline ecotones over 30 years using CNNs and historical aerial images
Wang, Z., Ginzler, C., Eben, B., Rehush, N., & Waser, L. T. (2022). Assessing changes in mountain treeline ecotones over 30 years using CNNs and historical aerial images. Remote Sensing, 14(9), 2135 (22 pp.). https://doi.org/10.3390/rs14092135 |
| National mapping and estimation of forest area by dominant tree species using Sentinel-2 data
Breidenbach, J., Waser, L. T., Debella-Gilo, M., Schumacher, J., Rahlf, J., Hauglin, M., … Astrup, R. (2021). National mapping and estimation of forest area by dominant tree species using Sentinel-2 data. Canadian Journal of Forest Research, 51(3), 365-379. https://doi.org/10.1139/cjfr-2020-0170 |
| European wide forest classification based on Sentinel-1 data
Dostálová, A., Lang, M., Ivanovs, J., Waser, L. T., & Wagner, W. (2021). European wide forest classification based on Sentinel-1 data. Remote Sensing, 13(3), 337 (26 pp.). https://doi.org/10.3390/rs13030337 |
| Countrywide mapping of trees outside forests based on remote sensing data in Switzerland
Malkoç, E., Rüetschi, M., Ginzler, C., & Waser, L. T. (2021). Countrywide mapping of trees outside forests based on remote sensing data in Switzerland. International Journal of Applied Earth Observation and Geoinformation, 100, 102336 (10 pp.). https://doi.org/10.1016/j.jag.2021.102336 |
| Countrywide mapping of shrub forest using multi-sensor data and bias correction techniques
Rüetschi, M., Weber, D., Koch, T. L., Waser, L. T., Small, D., & Ginzler, C. (2021). Countrywide mapping of shrub forest using multi-sensor data and bias correction techniques. International Journal of Applied Earth Observation and Geoinformation, 105, 102613 (10 pp.). https://doi.org/10.1016/j.jag.2021.102613 |
| Editorial summary,<em> remote sensing</em> special issue "Advances in remote sensing for global forest monitoring"
Tomppo, E., Wang, G., Praks, J., McRoberts, R. E., & Waser, L. T. (2021). Editorial summary, remote sensing special issue "Advances in remote sensing for global forest monitoring". Remote Sensing, 13(4), 597 (4 pp.). https://doi.org/10.3390/rs13040597 |
| Künstliche Intelligenz im Wald - der neue «Waldmischungsgrad LFI»
Waser, L., Rüetschi, M., & Rehush, N. (2021). Künstliche Intelligenz im Wald - der neue «Waldmischungsgrad LFI». Bündnerwald, 74(5), 54-57. |
