Active Filters

  • (-) WSL Authors = Waser, Lars T.
  • (-) WSL Authors ≠ Bihamta Toosi, Neda
Search Results 1 - 20 of 82

Pages

  • RSS Feed
Select Page
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
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.
Mapping dominant leaf type based on combined Sentinel-1/-2 data – Challenges for mountainous countries
Waser, L. T., Rüetschi, M., Psomas, A., Small, D., & Rehush, N. (2021). Mapping dominant leaf type based on combined Sentinel-1/-2 data – Challenges for mountainous countries. ISPRS Journal of Photogrammetry and Remote Sensing, 180, 209-226. https://doi.org/10.1016/j.isprsjprs.2021.08.017
Erfassung von Sturmschäden mittels Satellitenbildern am Beispiel des Gewittersturms Bernd: was ist möglich, was nicht?
Weber, D., Rüetschi, M., Waldner, P., & Waser, L. (2021). Erfassung von Sturmschäden mittels Satellitenbildern am Beispiel des Gewittersturms Bernd: was ist möglich, was nicht? Zürcher Wald, 53(6), 43-47.
Oberflächenmodelle aus Luftbildern für forstliche Anwendungen. Leitfaden AFL 2020
Ackermann, J., Adler, P., Aufreiter, C., Bauerhansl, C., Bucher, T., Franz, S., … Zielewska-Büttner, K. (2020). Oberflächenmodelle aus Luftbildern für forstliche Anwendungen. Leitfaden AFL 2020. WSL Berichte: Vol. 87. Birmensdorf: Eidg. Forschungsanstalt für Wald, Schnee und Landschaft WSL.
Airborne-laser-scanning-derived auxiliary information discriminating between broadleaf and conifer trees improves the accuracy of models for predicting timber volume in mixed and heterogeneously structured forests
Bont, L. G., Hill, A., Waser, L. T., Bürgi, A., Ginzler, C., & Blattert, C. (2020). Airborne-laser-scanning-derived auxiliary information discriminating between broadleaf and conifer trees improves the accuracy of models for predicting timber volume in mixed and heterogeneously structured forests. Forest Ecology and Management, 459, 117856 (18 pp.). https://doi.org/10.1016/j.foreco.2019.117856
Predicting biomass dynamics at the national extent from digital aerial photogrammetry
Price, B., Waser, L. T., Wang, Z., Marty, M., Ginzler, C., & Zellweger, F. (2020). Predicting biomass dynamics at the national extent from digital aerial photogrammetry. International Journal of Applied Earth Observation and Geoinformation, 90, 102116 (10 pp.). https://doi.org/10.1016/j.jag.2020.102116
 

Pages