Combining ensemble modeling and remote sensing for mapping individual tree species at high spatial resolution
By Robin Engler, Lars T. Waser, N. E. Zimmermann, M. Schaub, S. Berdos, Christian Ginzler, Achilleas Psomas. 2013
107 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/4099dd7083a51555d1c336bdba102a2019db97d4
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In Ecological Modeling
In Ecology
- Misganu Debella-Gilo
- Lars T. Waser
- Martin Wikelski
- Martin Wegmann
- Stefano Puliti
- Rasmus Astrup
- Johannes Schumacher
- Johannes Breidenbach
In Environmental Engineering
Citations in the corpus
- Earth observation satellite sensors for biodiversity monitoring: potentials and bottlenecks (2014, background): “1981), canopy height, expected crop yield (Birnie, Robertson, and Stove 1982; Hatfield 1983; Horie, Yajima, and Nakagawa 1992), measures of fragmentation and connectivity (Stenhouse 2004; Pueyo and Alados 2007; Briant, Gond, and Laurance 2010), or as detailed classification-derived map products brea”
- National mapping and estimation of forest area by dominant tree species using Sentinel-2 data (2020, background): “…the broadest range of spectral information (e.g. Dalponte et al. 2012, Fricker et al. 2019); (2) multispectral airborne (e.g. Waser et al. 2011, Engler et al. 2013) with high spatial but limited spectral resolution, and passive spaceborne sensors, which provide a high spectral and relatively…”