Dr. Lars Waser

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

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

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.; 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

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

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

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

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

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

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 aerial images. Remote Sensing of Environment, 112: 1956-1968. doi: 10.1016/j.rse.2007.09.015

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.; 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

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.; 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: 196-207. doi: 10.1016/j.jag.2005.10.001

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.; 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

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.; 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. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 37, B8: 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.; 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. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 36, 7/C50: 313-318.

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.).

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

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.

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. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 25, B7: 845-851.

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.; Catalini, M.; Schardt, M.; Schmitt, U.; Zini, E., 2000: Inventory of alpine-relevant parameters for an alpine monitoring system using remote sensing data. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 33, B7/1: 8 pp..