Review of studies on tree species classification from remotely sensed data FE Fassnacht, H Latifi, K Stereńczak, A Modzelewska, M Lefsky, LT Waser, ... Remote Sensing of Environment 186, 64-87, 2016 | 672 | 2016 |
High‐quality image matching and automated generation of 3D tree models E Baltsavias, A Gruen, H Eisenbeiss, L Zhang, LT Waser International Journal of Remote Sensing 29 (5), 1243-1259, 2008 | 204 | 2008 |
Evaluating the potential of WorldView-2 data to classify tree species and different levels of ash mortality LT Waser, M Küchler, K Jütte, T Stampfer Remote Sensing 6 (5), 4515-4545, 2014 | 190 | 2014 |
A meta-analysis and review of the literature on the k-Nearest Neighbors technique for forestry applications that use remotely sensed data G Chirici, M Mura, D McInerney, N Py, EO Tomppo, LT Waser, ... Remote Sensing of Environment 176, 282-294, 2016 | 146 | 2016 |
Semi-automatic classification of tree species in different forest ecosystems by spectral and geometric variables derived from Airborne Digital Sensor (ADS40) and RC30 data LT Waser, C Ginzler, M Kuechler, E Baltsavias, L Hurni Remote Sensing of Environment 115 (1), 76-85, 2011 | 126 | 2011 |
Assessing changes of forest area and shrub encroachment in a mire ecosystem using digital surface models and CIR aerial images LT Waser, E Baltsavias, K Ecker, H Eisenbeiss, E Feldmeyer-Christe, ... Remote Sensing of Environment 112 (5), 1956-1968, 2008 | 105 | 2008 |
Potential of UltraCamX stereo images for estimating timber volume and basal area at the plot level in mixed European forests C Straub, C Stepper, R Seitz, LT Waser Canadian Journal of Forest Research 43 (8), 731-741, 2013 | 101 | 2013 |
A questionnaire-based review of the operational use of remotely sensed data by national forest inventories F Barrett, RE McRoberts, E Tomppo, E Cienciala, LT Waser Remote Sensing of Environment 174, 279-289, 2016 | 100 | 2016 |
Combining ensemble modeling and remote sensing for mapping individual tree species at high spatial resolution R Engler, LT Waser, NE Zimmermann, M Schaub, S Berdos, C Ginzler, ... Forest Ecology and Management 310, 64-73, 2013 | 95 | 2013 |
Rapid detection of windthrows using Sentinel-1 C-band SAR data M Rüetschi, D Small, LT Waser Remote Sensing 11 (2), 115, 2019 | 69 | 2019 |
Wall-to-wall forest mapping based on digital surface models from image-based point clouds and a NFI forest definition LT Waser, C Fischer, Z Wang, C Ginzler Forests 6 (12), 4510-4528, 2015 | 66 | 2015 |
Comparing different classification algorithms for monitoring mangrove cover changes in southern Iran NB Toosi, AR Soffianian, S Fakheran, S Pourmanafi, C Ginzler, LT Waser Global Ecology and Conservation 19, e00662, 2019 | 58 | 2019 |
Wall-to-wall tree type mapping from countrywide airborne remote sensing surveys LT Waser, C Ginzler, N Rehush Remote Sensing 9 (8), 766, 2017 | 57 | 2017 |
Comparison of large-area land cover products with national forest inventories and CORINE land cover in the European Alps LT Waser, M Schwarz International Journal of Applied Earth Observation and Geoinformation 8 (3 …, 2006 | 51 | 2006 |
Prediction of biodiversity-regression of lichen species richness on remote sensing data LT Waser, S Stofer, M Schwartz, M Küchler, E Ivits, C Scheidegger Community Ecology 5 (1), 121-133, 2004 | 45 | 2004 |
Combining remotely sensed spectral data and digital surface models for fine-scale modelling of mire ecosystems M Küchler, K Ecker, E Feldmeyer-Christe, U Graf, H Küchler, LT Waser Community Ecology 5, 55-68, 2004 | 42 | 2004 |
High‐resolution digital surface models (DSMs) for modelling fractional shrub/tree cover in a mire environment LT Waser, E Baltsavias, K Ecker, H Eisenbeiss, C Ginzler, M Küchler, ... International Journal of Remote Sensing 29 (5), 1261-1276, 2008 | 37 | 2008 |
Prediction of lichen diversity in an UNESCO biosphere reserve–correlation of high resolution remote sensing data with field samples LT Waser, M Kuechler, M Schwarz, E Ivits, S Stofer, C Scheidegger Environmental Modeling & Assessment 12, 315-328, 2007 | 34 | 2007 |
Increasing the broad-leaved tree fraction in European forests mitigates hot temperature extremes J Schwaab, EL Davin, P Bebi, A Duguay-Tetzlaff, LT Waser, M Haeni, ... Scientific reports 10 (1), 14153, 2020 | 33 | 2020 |
Forestry applications B Koch, M Dees Advances in photogrammetry, remote sensing and spatial information sciences …, 2008 | 31 | 2008 |