Dr. Lars Waser

Bihamta Toosi, N.; Reza Soffianian, A.; Fakheran, S.; Pourmanafi, S.; Ginzler, C.; Waser, L.T., 2020: Land cover classification in mangrove ecosystems based on VHR satellite data and machine learning - an upscaling approach. Remote Sensing, 12, 17: 2684 (17 pp.). doi: 10.3390/rs12172684

Demirbaş Çağlayan, S.; Leloglu, U.M.; Ginzler, C.; Psomas, A.; Zeydanlı, U.S.; Bilgin, C.C.; Waser, L.T., 2020: Species level classification of Mediterranean sparse forests-maquis formations using Sentinel-2 imagery. Geocarto International, doi: 10.1080/10106049.2020.1783581

Wang, Z.; Ginzler, C.; Waser, L.T., 2020: Assessing structural changes at the forest edge using kernel density estimation. Forest Ecology and Management, 456: 117639 (13 pp.). doi: 10.1016/j.foreco.2019.117639

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.). doi: 10.1016/j.foreco.2019.117856

Ginzler, C.; Price, B.; Bösch, R.; Fischer, C.; Hobi, M.L.; Psomas, A.; Rehush, N.; Wang, Z.; Waser, L.T., 2019: Area-wide products. In: Fischer, C.; Traub, B. (eds), 2019: Swiss National Forest Inventory – Methods and models of the fourth assessment. Cham, Springer. 125-142. doi: 10.1007/978-3-030-19293-8_7

Ginzler, C.; Marty, M.; Waser, L.T., 2019: Landesweite digitale Vegetationshöhenmodelle aus historischen SW - Stereoluftbildern. In: Kersten, T.P. (eds), 2019: Dreiländertagung der OVG, DGPF und SGPF. Photogrammetrie - Fernerkundung - Geoinformation - 2019. 39. Wissenschaftlich-Technische Jahrestagung der DGPF e.V., Wien. 400-406.

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.). doi: 10.1016/j.gecco.2019.e00662

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.). doi: 10.3390/rs11020115

Rehush, N.; Abegg, M.; Waser, L.T.; Brändli, U., 2018: Identifying tree-related microhabitats in TLS point clouds using machine learning. Remote Sensing, 10, 11: 1735 (23 pp.). doi: 10.3390/rs10111735

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. doi: 10.1139/cjfr-2016-0253

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.). doi: 10.3390/rs9080766

Waser, L.T.; Boesch, R.; Wang, Z.; Ginzler, C., 2017: Towards automated forest mapping. In: Remmel, T.K.; Perera, A.H. (eds), 2017: Mapping forest landscape patterns. New York, Springer. 263-304. doi: 10.1007/978-1-4939-7331-6_7

Ginzler, C.; Waser, L.T., 2017: Entwicklungen im Bereich der Fernerkundung für forstliche Anwendungen. Schweizerische Zeitschrift für Forstwesen, 168, 3: 118-126. doi: 10.3188/szf.2017.0118

Fassnacht, F.E.; Latifi, H.; Stereńczak, K.; Modzelewska, A.; Lefsky, M.; Waser, L.T.; Straub, C.; Ghosh, A., 2016: Review of studies on tree species classification from remotely sensed data. Remote Sensing of Environment, 186: 64-87. doi: 10.1016/j.rse.2016.08.013

Chirici, G.; Mura, M.; McInerney, D.; Py, N.; Tomppo, E.O.; Waser, L.T.; Travaglini, D.; 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. doi: 10.1016/j.rse.2016.02.001

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. doi: 10.1016/j.rse.2015.08.029

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. doi: 10.3390/f6124386

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. doi: 10.1093/forestry/cpv012

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. doi: 10.3390/rs6054515

Engler, R.; Waser, L.T.; Zimmermann, N.E.; Schaub, M.; Berdos, S.; Ginzler, C.; Psomas, A., 2013: Combining ensemble modeling and remote sensing for mapping individual tree species at high spatial resolution. Forest Ecology and Management, 310: 64-73. doi: 10.1016/j.foreco.2013.07.059

Straub, C.; Stepper, C.; Seitz, R.; Waser, L.T., 2013: Potential of UltraCamX stereo images for estimating timber volume and basal area at the plot level in mixed European forests. Canadian Journal of Forest Research, 43, 8: 731-741. doi: 10.1139/cjfr-2013-0125

Waser, L.T., 2013: Stand und Perspektiven einer landesweiten Baumartenklassifikation mit digitalen Luftbildern. Schweizerische Zeitschrift für Forstwesen, 164, 4: 95-103. doi: 10.3188/szf.2013.0095

Waser, L.T.; Ginzler, C.; Kuechler, M.; Baltsavias, E.; Hurni, L., 2011: Semi-automatic classification of tree species in different forest ecosystems by spectral and geometric variables derived from Airborne Digital Sensor (ADS40) and RC30 data. Remote Sensing of Environment, 115, 1: 76-85. doi: 10.1016/j.rse.2010.08.006

Ecker, K.; Waser, L.T.; Küchler, M., 2010: Contribution of multi-source remote sensing data to predictive mapping of plant-indicator gradients within Swiss mire habitats. Botanica Helvetica, 120, 1: 29-42. doi: 10.1007/s00035-010-0070-4

Waser, L.T.; Klonus, S.; Ehlers, M.; Küchler, M.; Jung, A., 2010: Potential of digital sensors for land cover and tree species classifications - a case study in the framework of the DGPF-project. Photogrammetrie, Fernerkundung, Geoinformation, 141-156. doi: 10.1127/1432-8364/2010/0046

Ecker, K.; Küchler, M.; Feldmeyer-Christe, E.; Graf, U.; Waser, L.T., 2008: Predictive mapping of floristic site conditions across mire habitats: evaluating data requirements. Community Ecology, 9, 2: 133-146. doi: 10.1556/ComEc.9.2008.2.2

Baltsavias, E.; Gruen, A.; Eisenbeiss, H.; Zhang, L.; Waser, L.T., 2008: High-quality image matching and automated generation of 3D tree models. International Journal for Remote Sensing, 29, 5: 1243-1259. doi: 10.1080/01431160701736513

Waser, L.T.; Baltsavias, E.; Ecker, K.; Eisenbeiss, H.; Ginzler, C.; Kuechler, M.; Thee, P.; Zhang, L., 2008: High-resolution digital surface models (DSMs) for modelling fractional shrub/tree cover in a mire environment. International Journal for Remote Sensing, 29, 5: 1261-1276. doi: 10.1080/01431160701736422

Waser, L.T.; Baltsavias, E.; Ecker, K.; Eisenbeiss, H.; Feldmeyer-Christe, E.; Ginzler, C.; Küchler, M.; Zhang, L., 2008: Assessing changes of forest area and shrub encroachment in a mire ecosystem using digital surface models and CIR aerial images. Remote Sensing of Environment, 112, 5: 1956-1968. doi: 10.1016/j.rse.2007.09.015

Feldmeyer-Christe, E.; Ecker, K.; Küchler, M.; Graf, U.; Waser, L., 2007: Improving predictive mapping in Swiss mire ecosystems through re-calibration of indicator values. Applied Vegetation Science, 10: 183-192. doi: 10.1658/1402-2001(2007)10[183:Ipmism]2.0.Co;2

Waser, L.T.; Kuechler, M.; Schwarz, M.; Ivtis, E.; Stofer, S.; Scheidegger, C., 2007: Prediction of lichen diversity in an UNESCO biosphere reserve - correlation of high resolution remote sensing data with field samples. Environmental Modeling and Assessment, 12, 4: 315-328. doi: 10.1007/s10666-006-9066-2

Waser, L.T.; Schwarz, M., 2006: Comparison of large-area land cover products with national forest inventories and CORINE land cover in the European Alps. International Journal of Applied Earth Observation and Geoinformation, 8, 3: 196-207. doi: 10.1016/j.jag.2005.10.001

Waser, L.T.; Stofer, S.; Schwarz, M.; Kuechler, M.; Ivits, E.; Scheidegger, C., 2004: Prediction of biodiversity - regression of lichen species richness on remote sensing data. Community Ecology, 5, 1: 121-133. doi: 10.1556/ComEc.5.2004.1.12

Küchler, M.; Ecker, K.; Feldmeyer-Christe, E.; Graf, U.; Küchler, H.; Waser, L.T., 2004: Combining remotely sensed spectral data and digital surface models for fine-scale modelling of mire ecosystems. Community Ecology, 5, 1: 55-68. doi: 10.1556/ComEc.5.2004.1.6

Waser, L.T., 2017: Baumartenerkennung mit Luftbildern. LWF Waldforschung aktuell, 4: 19-21.

Vidal, C.; Gschwantner, T.; Korhonen, K.T.; Alberdi, I.; Gasparini, P.; Redmont, J.; Ginzler, C.; Fischer, C.; Hervé, J.-C.; Waser, L.T.; Kuliešis, A.; Kasperavičius, A.; Bosela, M.; Adolt, R.; Petráš, R.; Kučera, M.; Fridman, J.; Schadauer, K., 2016: Progress towards harmonised assessment of availability and use of wood resources in Europe. In: Hernández, L.; Alberdi, I.; Vidal, C.; Redmond, J. (eds), 2016: National forest inventories. Assessment of wood availability and use. Cham, Springer. 81-104. doi: 10.1007/978-3-319-44015-6_4

Straub, C.; Stepper, C.; Seitz, R.; Waser, L.T., 2015: Amtliche Fernerkundungsdaten in der Forstwirtschaft – Anwendungspotential in Bayern. In: Wallner, A.; Seitz, R. (eds), 2015: Der gepixelte Wald – Reloaded. Der gepixelte Wald – Reloaded, Freising-Weihenstephan, March 17-18, 2015. 7-17.

Waser, L.T.; Straub, C., 2015: Baumartenerkennung mit optischen Fernerkundungsdaten – Stand und Perspektiven. In: Wallner, A.; Seitz, R. (eds), 2015: Der gepixelte Wald – Reloaded. Der gepixelte Wald – Reloaded, Freising-Weihenstephan, March 17-18, 2015. 61-71.

Straub, C.; Stepper, C.; Seitz, R.; Waser, L.T., 2013: Möglichkeiten einer stratifizierten Schätzung von forstlichen Kenngrössen unter Verwendung von amtlichen Stereo-Luftbildern, Orthophotos und Laserscannerdaten. In: Seyfert, E. (eds), 2013: Vorträge, 33. Wissenschaftlich-Technische Jahrestagung der DGPF. 33. Wissenschaftlich-Technische Jahrestagung der DGPF, Freiburg i.B., Februar 27 - March 1, 2013. 186-193.

Waser, L.T., 2012: Airborne remote sensing data for semi-automated extraction of tree area and classification of tree species. Dissertation, ETH Zurich. 153 p.

Waser, L.T., 2011: Semi-automatic extraction of forest area, type and composition from ADS40/80 images and derived CHMS for the Swiss NFI. In: Breidenbach, J.; Astrup, R. (eds), 2011: Creation of digital elevation models from aerial images for forest monitoring purposes. Proceedings. Creation of digital elevation models from aerial images for forest monitoring purposes, Ås. 7-10.

Waser, L.T.; Baltsavias, E.; Ginzler, C.; Küchler, M., 2010: Semiautomatic classification of tree species by means of multitemporal airborne digital sensor data ADS40. In: Wagner, W.; Szekely, B. (eds), 2010: 100 Years ISPRS. Advancing remote sensing science. ISPRS Technical Commission VII Symposium, Vienna. 633-638.

Waser, L.T.; Ginzler, C.; Küchler, M., 2010: Semi-automatische Baumartendifferenzierung auf der Grundlage von ADS40 Digitalkamera-Luftbildern. In: Schmidt, O.; Seitz, R. (eds), 2010: Der gepixelte Wald - Forstliche Fernerkundung vor dem Hintergrund aktueller Entwicklungen in Umwelt und Technik. 30-37.

Waser, L.T.; Ginzler, C.; Küchler, M.; Lanz, A.; Baltsavias, E., 2009: Semiautomatic prediction of main tree species using multi-temporal ADS40 data. In: McRoberts, R. (eds), 2009: Proceedings of the IUFRO Division 4 Symposium on Extending Forest Inventory and Monitoring over space and time. IUFRO Division 4 Symposium on Extending Forest Inventory and Monitoring over space and time, Quebec. (6 pp.).

Waser, L.T.; Ginzler, C.; Küchler, M.; Baltsavias, E., 2009: Modeling tree species distribution in different forest ecosystems using spectral and geometric variables derived from Airborne Digital Sensor (ADS) 40 data. In: Malingreau, J.P. (eds), 2009: Proceedings of the 33rd Symposium on remote Sensing of Environment (ISRSE). 33rd Symposium on remote Sensing of Environment (ISRSE), Stresa. (4 pp.).

Waser, L.T.; Eisenbeiss, H.; Kuechler, M.; Baltsavias, E., 2008: Potential and limits of airborne remote sensing data for extraction of fragctional canopy cover and forest stands and detection of tree species. In: 2008: 1405-1412.

Waser, L.T.; Ginzler, C.; Kuechler, M.; Baltsavias, E., 2008: Potential and limits of extraction of forest attributes by fusion of medium point density LiDAR data with ADS40 and RC30 images. In: Hill, R.; Suarez, J.; Rosette, J. (eds), 2008: SilviLaser 2008, 8th international conference on LiDAR applications in forest assessment and inventory. 10.

Waser, L.T.; Ginzler, C.; Kuechler, M.; Baltsavias, E.; Eisenbeiss, H., 2007: Modeling fractional shrub/tree cover and multi-temporal changes in mire ecosystems using high-resolution digital surface models and CIR aerial images. In: 2007: IEEE international geoscience and remote sensing symposium. IGARSS Barcelona 2007. Sensing and understanding our planet. 2017 IEEE international geoscience and remote sensing symposium (IGARSS), Barcelona, Catalonia, Spain, July 23-27, 2007. 2288. doi: 10.1109/IGARSS.2007.4423298

Waser, L.T.; Baltsavias, E.; Eisenbeiss, H.; Ginzler, C.; Gruen, A.; Kuechler, M.; Thee, P., 2007: Change Detection in Mire Ecosystems: Assessing Changes of Forest Area using Airborne Remote Sensing Data. In: 2007: 313-318.

Waser, L.T.; Küchler, M.; Baltsavias, E.; Eisenbeiss, H., 2007: Prediction of tree species by means of airborne digital sensor data and LiDAR. In: 2007: Proceedings of ForestSAT Conference. ForestSAT Conference, Montpellier. (8 pp.).

Ginzler, C.; Boehl, J.; Boesch, R.; Waser, L.T., 2007: Accuracy of forest parameters derived from medium footprint LiDAR under operational constraints. In: 2007: ISPRS Workshop on Laser Scanning 2007 and SilviLaser 2007. ISPRS Workshop on Laser Scanning 2007 and SilviLaser 2007, Espoo. 144-149.

Waser, L.T.; Ginzler, C.; Küchler, M.; Baltsavias, E.; Eisenbeiss, H., 2007: Modeling fractional shrub/tree cover and multi-temporal changes in mire ecosystems using high-resolution digital surface models and CIR aerial images. In: 2007: Proceedings of IGARSS IEEE International Geoscience and Remote Sensing Symposium. IGARSS IEEE International Geoscience and Remote Sensing Symposium, Barcelona, July 23-27, 2007. (6 pp.).

Waser, L.T.; Ginzler, C.; Küchler, M.; Thee, P.; Baltsavias, E.; Eisenbeiss, H., 2007: Extraction of forest parameters in a mire biotope using high-resolution digital surface models and airborne imagery. In: 2007: Proceedings of IGARSS IEEE International Geoscience and Remote Sensing Symposium. IGARSS IEEE International Geoscience and Remote Sensing Symposium, Barcelona, July 23-27, 2007. (6 pp.).

Küchler, M.; Ecker, K.; Feldmeyer, E.; Graf, U.; Waser, L.T., 2007: Predictive models of mire habitats: Bias in detection of changes. In: Okrusko, T.; Maltby, E.; Szatylowicz, J.; Switek, D.; Kotowski, W. (eds), 2007: Wetlands: Monitoring, Modelling and Management. London, Taylor & Francis. 91-99.

Wang, Z.; Boesch, R.; Waser, L.; Ginzler, C., 2006: Mean Shift Segmentation Applied to ADS40 Data for Automatic Forest Detection. In: 2006: Proceedings of the IEEE International Conference on Information and Automation. IEEE International Conference on Information and Automation, Zhuhai/Macau, China. 1099-1103. doi: 10.1109/ICINFA.2009.5205081

Baltsavias, E.; Gruen, A.; Küchler, M.; Thee, P.; Waser, L.T.; Zhang, L., 2006: Tree height measurements and tree growth estimation in a mire environment using digital surface models. In: Koukal, T.; Schneider, W. (eds), 2006: Proceedings of the International Workshop: 3D Remote Sensing in Forestry. International Workshop: 3D Remote Sensing in Forestry, Vienna. 44-54.

Waser, L.T.; Ecker, K.; Ginzler, C.; Küchler, M.; Schwarz, M.; Thee, P., 2006: Extraction of forest parameters in a mire environment using airborne spectral data and digital surface models. In: Koukal, T.; Schneider, W. (eds), 2006: Proceedings of the International Workshop: 3D Remote Sensing in Forestry. International Workshop: 3D Remote Sensing in Forestry, Vienna. 15-23.

Waser, L.T.; Kuechler, M.; Schwarz, M.; Stofer, S.; Scheidegger, C.; Ivitis, E.; Koch, B., 2004: Prediction of Biodiversity - correlation of remote sensing data with lichen field samples. In: 2004: 845-851.

Schwarz, M.; Zimmermann, N.E.; Waser, L.T., 2004: MODIS based continuous fields of tree cover using generalized linear models. In: 2004: 2004 IEEE International Geoscience and Remote Sensing Symposium proceedings. Science for society: exploring and managing a changing planet. IGARSS 2004 Vol. 7. 2004 IEEE International Geoscience and Remote Sensing Symposium. IGARSS 2004, Anchorage, AK, USA. 2377-2380. doi: 10.1109/IGARSS.2004.1369766

Schwarz, M.; Steinmeier, C.; Waser, L., 2002: Detection of storm losses in the Alpine forest areas by different methodical approaches using high-resolution satellite data. In: Bégni, G. (eds), 2002: Observing our environment from space: New solutions for a new millenium. Lisse, Balkema. 251-257.

Waser, L.; Zimmermann, N.; Keller, M.; Schwarz, M., 2001: Rapid assessmant of land cover in the European Alps - Evaluation of MODIS MOD 12 data. In: Belward, A.; Binaghi, E.; Brivio, P.A.; Lanzarone, G.A.T.G. (eds), 2001: International Workshop on Geo-Spatial Knowledge Processing for Natural Resource Management. International Workshop on Geo-Spatial Knowledge Processing for Natural Resource Management, Varese. 376-381.

Waser, L.; Catalini, M.; Schardt, M.; Schmitt, U.; Zini, E., 2000: Inventory of alpine-relevant parameters for an alpine monitoring system using remote sensing data. In: 2000: 8 pp..