| Prediction of lichen diversity in an UNESCO biosphere reserve - correlation of high resolution remote sensing data with field samples
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. https://doi.org/10.1007/s10666-006-9066-2 |
| Change detection based on fractional tree cover derived from MODIS data
Schwarz, M., Waser, L. T., & Zimmermann, N. E. (2006). Change detection based on fractional tree cover derived from MODIS data. In N. Kerle & A. Skidmore (Eds.), International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives: Vol. 36. Proceedings of the ISPRS commission VII symposium 'remote sensing: from pixels to processes' (p. (6 pp.). International Society for Photogrammetry and Remote Sensing. |
| Comparison of large-area land cover products with national forest inventories and CORINE land cover in the European Alps
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. https://doi.org/10.1016/j.jag.2005.10.001 |
| Extraction of forest parameters in a mire environment using airborne spectral data and digital surface models
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 T. Koukal & W. Schneider (Eds.), Proceedings. International workshop. 3D remote sensing in forestry (pp. 15-23). University of Natural Resources and Applied Life Sciences. |
| A new GLM-based method for mapping tree cover continuous fields using regional MODIS reflectance data
Schwarz, M., & Zimmermann, N. E. (2005). A new GLM-based method for mapping tree cover continuous fields using regional MODIS reflectance data. Remote Sensing of Environment, 95(4), 428-443. https://doi.org/10.1016/j.rse.2004.12.010 |
| Erfassen kontinuierlicher Bodenbedeckungsdaten anhand von MODIS Daten in der Schweiz
Schwarz, M., Zimmermann, N. E., Wildi, O., & Kienast, F. (2004). Erfassen kontinuierlicher Bodenbedeckungsdaten anhand von MODIS Daten in der Schweiz. Botanica Helvetica, 114(2), 151-167. https://doi.org/10.5169/seals-74726 |
| MODIS based continuous fields of tree cover using generalized linear models
Schwarz, M., Zimmermann, N. E., & Waser, L. T. (2004). MODIS based continuous fields of tree cover using generalized linear models. In IEEE international symposium on geoscience and remote sensing (IGARSS): Vol. 7. 2004 IEEE international geoscience and remote sensing symposium proceedings (pp. 2377-2380). https://doi.org/10.1109/IGARSS.2004.1369766 |
| Prediction of Biodiversity - correlation of remote sensing data with lichen field samples
Waser, L. T., Kuechler, M., Schwarz, M., Stofer, S., Scheidegger, C., Ivits, E., & Koch, B. (2004). Prediction of Biodiversity - correlation of remote sensing data with lichen field samples. In O. Altan (Ed.), International archives of photogrammetry, remote sensing and spatial information sciences: Vol. 25. XXth ISPRS congress. Technical commission VII (pp. 845-850). |
| Prediction of biodiversity - regression of lichen species richness on remote sensing data
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. https://doi.org/10.1556/ComEc.5.2004.1.12 |
| Detection of Windthrow in mountainous regions with different remote sensing data and classification methods
Schwarz, M., Steinmeier, C., Holecz, F., Stebler, O., & Wagner, H. (2003). Detection of Windthrow in mountainous regions with different remote sensing data and classification methods. Scandinavian Journal of Forest Research, 18(6), 525-536. https://doi.org/10.1080/02827580310018023 |
| Landcoverdaten unter der Lupe. Eignung von MODIS-Landcoverdaten und ähnlichen Produkten anderer Satelliten zur Bewertung Landschafts-relevanter Fragen im Alpenraum - ein Vergleich mit nationalen Forstinventuren
Waser, L., Zimmermann, N., & Schwarz, M. (2003). Landcoverdaten unter der Lupe. Eignung von MODIS-Landcoverdaten und ähnlichen Produkten anderer Satelliten zur Bewertung Landschafts-relevanter Fragen im Alpenraum - ein Vergleich mit nationalen Forstinventuren. Informationsblatt Landschaft, 56, 1-4. |
| Detection of storm losses in the Alpine forest areas by different methodical approaches using high-resolution satellite data
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 G. Bégni (Ed.), Observing our environment from space. New solutions for a new millennium (pp. 251-257). A.A. Balkema. |
| Evaluation moderner Fernerkundungsmethoden zur Sturmschadenerkennung im Wald
Steinmeier, C., Schwarz, M., Holecz, F., Stebler, O., & Wagner, S. (2002). Evaluation moderner Fernerkundungsmethoden zur Sturmschadenerkennung im Wald. Birmensdorf: Eidgenössische Forschungsanstalt WSL. |
| The evaluation of different sensors and techniques for the detection of storm damages in forests
Steinmeier, C., Schwarz, M., Holecz, F., Stebler, O., & Wagner, S. (2002). The evaluation of different sensors and techniques for the detection of storm damages in forests. In IEEE international symposium on geoscience and remote sensing (IGARSS). 2002 IEEE international geoscience and remote sensing symposium. 24th Canadian symposium on remote sensing (pp. 1774-1776). https://doi.org/10.1109/igarss.2002.1026250 |
| Rapid assessmant of land cover in the European Alps - Evaluation of MODIS MOD 12 data
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 A. Belward, E. Binaghi, P. A. Brivio, & G. A. T. , G. Lanzarone (Eds.), Proceedings of the international workshop on geo-spatial knowledge processing for natural resource management (pp. 376-381). |
