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Comparing different classification algorithms for monitoring mangrove cover changes in southern Iran
Bihamta Toosi, N., Soffianian, A. R., Fakheran, S., Pourmanafi, S., Ginzler, C., & Waser, L. T. (2019). Comparing different classification algorithms for monitoring mangrove cover changes in southern Iran. Global Ecology and Conservation, 19, e00662 (16 pp.). https://doi.org/10.1016/j.gecco.2019.e00662
Area-wide products
Ginzler, C., Price, B., Bösch, R., Fischer, C., Hobi, M. L., Psomas, A., … Waser, L. T. (2019). Area-wide products. In C. Fischer & B. Traub (Eds.), Managing forest ecosystems: Vol. 35. Swiss National Forest Inventory – Methods and models of the fourth assessment (pp. 125-142). https://doi.org/10.1007/978-3-030-19293-8_7
Landesweite digitale Vegetationshöhenmodelle aus historischen SW - Stereoluftbildern
Ginzler, C., Marty, M., & Waser, L. T. (2019). Landesweite digitale Vegetationshöhenmodelle aus historischen SW - Stereoluftbildern. In T. P. Kersten (Ed.), Publikationen der DGPF: Vol. 28. Dreiländertagung der OVG, DGPF und SGPF. Photogrammetrie - Fernerkundung - Geoinformation - 2019 (pp. 400-406). Retrieved from https://www.dgpf.de/src/tagung/jt2019/proceedings/start.html
Lokalisierung von Windwürfen mit Sentinel-1A/B-Daten: ein Versuch nach <em>«</em>Burglind<em>»</em>
Rüetschi, M., Small, D., Waser, L. T., & Ginzler, C. (2019). Lokalisierung von Windwürfen mit Sentinel-1A/B-Daten: ein Versuch nach «Burglind». Schweizerische Zeitschrift für Forstwesen, 170(2), 106-109. https://doi.org/10.3188/szf.2019.0094
Rapid detection of windthrows using Sentinel-1 C-band SAR data
Rüetschi, M., Small, D., & Waser, L. T. (2019). Rapid detection of windthrows using Sentinel-1 C-band SAR data. Remote Sensing, 11(2), 115 (23 pp.). https://doi.org/10.3390/rs11020115
Identifying tree-related microhabitats in TLS point clouds using machine learning
Rehush, N., Abegg, M., Waser, L. T., & Brändli, U. B. (2018). Identifying tree-related microhabitats in TLS point clouds using machine learning. Remote Sensing, 10(11), 1735 (23 pp.). https://doi.org/10.3390/rs10111735
Entwicklungen im Bereich der Fernerkundung für forstliche Anwendungen
Ginzler, C., & Waser, L. T. (2017). Entwicklungen im Bereich der Fernerkundung für forstliche Anwendungen. Schweizerische Zeitschrift für Forstwesen, 168(3), 118-126. https://doi.org/10.3188/szf.2017.0118
Assessing the structure of primeval and managed beech forests in the Ukrainian Carpathians using remote sensing
Rehush, N., & Waser, L. T. (2017). Assessing the structure of primeval and managed beech forests in the Ukrainian Carpathians using remote sensing. Canadian Journal of Forest Research, 47(1), 63-72. https://doi.org/10.1139/cjfr-2016-0253
Baumartenerkennung mit Luftbildern
Waser, L. T. (2017). Baumartenerkennung mit Luftbildern. LWF Waldforschung aktuell, 4, 19-21.
Towards automated forest mapping
Waser, L. T., Boesch, R., Wang, Z., & Ginzler, C. (2017). Towards automated forest mapping. In T. K. Remmel & A. H. Perera (Eds.), Mapping forest landscape patterns (pp. 263-304). https://doi.org/10.1007/978-1-4939-7331-6_7
Wall-to-wall tree type mapping from countrywide airborne remote sensing surveys
Waser, L. T., Ginzler, C., & Rehush, N. (2017). Wall-to-wall tree type mapping from countrywide airborne remote sensing surveys. Remote Sensing, 9(8), 766 (24 pp.). https://doi.org/10.3390/rs9080766
A questionnaire-based review of the operational use of remotely sensed data by national forest inventories
Barrett, F., McRoberts, R. E., Tomppo, E., Cienciala, E., & Waser, L. T. (2016). A questionnaire-based review of the operational use of remotely sensed data by national forest inventories. Remote Sensing of Environment, 174, 279-289. https://doi.org/10.1016/j.rse.2015.08.029
A meta-analysis and review of the literature on the k-Nearest Neighbors technique for forestry applications that use remotely sensed data
Chirici, G., Mura, M., McInerney, D., Py, N., Tomppo, E. O., Waser, L. T., … McRoberts, R. E. (2016). A meta-analysis and review of the literature on the k-Nearest Neighbors technique for forestry applications that use remotely sensed data. Remote Sensing of Environment, 176, 282-294. https://doi.org/10.1016/j.rse.2016.02.001
Review of studies on tree species classification from remotely sensed data
Fassnacht, F. E., Latifi, H., Stereńczak, K., Modzelewska, A., Lefsky, M., Waser, L. T., … Ghosh, A. (2016). Review of studies on tree species classification from remotely sensed data. Remote Sensing of Environment, 186, 64-87. https://doi.org/10.1016/j.rse.2016.08.013
Progress towards harmonised assessment of availability and use of wood resources in Europe
Vidal, C., Gschwantner, T., Korhonen, K. T., Alberdi, I., Gasparini, P., Redmont, J., … Schadauer, K. (2016). Progress towards harmonised assessment of availability and use of wood resources in Europe. In C. Vidal, I. Alberdi, L. Hernández, & J. Redmond (Eds.), National forest inventories. Assessment of wood availability and use (pp. 81-104). https://doi.org/10.1007/978-3-319-44015-6_4
Amtliche Fernerkundungsdaten in der Forstwirtschaft - Anwendungspotential in Bayern
Straub, C., Stepper, C., Seitz, R., & Waser, L. T. (2015). Amtliche Fernerkundungsdaten in der Forstwirtschaft - Anwendungspotential in Bayern. In A. Wallner & R. Seitz (Eds.), Forstliche Forschungsberichte München: Vol. 214. Der gepixelte Wald - Reloaded (pp. 7-17). Freising-Weihenstephan: Forstwissenschaftliche Fakultät der Universität München.
A novel method to assess short-term forest cover changes based on digital surface models from image-based point clouds
Wang, Z., Ginzler, C., & Waser, L. T. (2015). A novel method to assess short-term forest cover changes based on digital surface models from image-based point clouds. Forestry, 88(4), 429-440. https://doi.org/10.1093/forestry/cpv012
Baumartenerkennung mit optischen Fernerkundungsdaten - Stand und Perspektiven
Waser, L. T., & Straub, C. (2015). Baumartenerkennung mit optischen Fernerkundungsdaten - Stand und Perspektiven. In A. Wallner & R. Seitz (Eds.), Forstliche Forschungsberichte München: Vol. 214. Der gepixelte Wald - Reloaded (pp. 61-71). Freising-Weihenstephan: Forstwissenschaftliche Fakultät der Universität München.
Wall-to-wall forest mapping based on digital surface models from image-based point clouds and a NFI forest definition
Waser, L. T., Fischer, C., Wang, Z., & Ginzler, C. (2015). Wall-to-wall forest mapping based on digital surface models from image-based point clouds and a NFI forest definition. Forests, 6(12), 4510-4528. https://doi.org/10.3390/f6124386
Evaluating the potential of WorldView-2 data to classify tree species and different levels of ash mortality
Waser, L. T., Küchler, M., Jütte, K., & Stampfer, T. (2014). Evaluating the potential of WorldView-2 data to classify tree species and different levels of ash mortality. Remote Sensing, 6(5), 4515-4545. https://doi.org/10.3390/rs6054515