W
Werner Schneider
Researcher at University of Natural Resources and Life Sciences, Vienna
Publications - 30
Citations - 1093
Werner Schneider is an academic researcher from University of Natural Resources and Life Sciences, Vienna. The author has contributed to research in topics: Leaf area index & Remote sensing (archaeology). The author has an hindex of 12, co-authored 30 publications receiving 1012 citations. Previous affiliations of Werner Schneider include University of Agricultural Sciences, Dharwad.
Papers
More filters
Journal ArticleDOI
Multispectral classification of Landsat-images using neural networks
TL;DR: Three-layer back-propagation networks for classification of Landsat TM data on a pixel-by-pixel basis is reported and it is shown that the neural network is able to perform better than the maximum likelihood classifier.
Journal ArticleDOI
Downscaling time series of MERIS full resolution data to monitor vegetation seasonal dynamics
TL;DR: In this article, an unmixing-based data fusion approach was applied to a time series of MERIS FR images acquired over The Netherlands, and the resulting series of fused images were subsequently used to compute two vegetation indices specifically designed for MERIS: the MERIS terrestrial chlorophyll index (MTCI) and the global vegetation index (MGVI).
Journal ArticleDOI
Evaluating the ecological sustainability of Austrian agricultural landscapes—the SINUS approach
Johannes Peterseil,Thomas Wrbka,Christoph Plutzar,Ingrid Schmitzberger,Andrea Kiss,Erich Szerencsits,Karl Reiter,Werner Schneider,F. Suppan,Helmut Beissmann +9 more
TL;DR: In this article, the concept of hemeroby, a measure for the naturalness or conversely the human influence on ecosystems, was used for the assessment of ecological sustainability in Austria's cultural landscapes.
Journal ArticleDOI
Spatial and Temporal Land Cover Changes in the Simen Mountains National Park, a World Heritage Site in Northwestern Ethiopia
TL;DR: The results showed an increase in the areas of pure forest and shrubland but a decrease in the area of agricultural land over the 20 years, providing the basis for policy/decision makers and resource managers to facilitate biodiversity conservation, including wild animals.
Journal ArticleDOI
Evaluation of semi-empirical BRDF models inverted against multi-angle data from a digital airborne frame camera for enhancing forest type classification
TL;DR: In this article, two semi-empirical models of the bidirectional reflectance distribution function (BRDF) were tested to extract spectro-directional information from airborne imagery and explore its use in forest type classification.