Cyclisch beheer in uiterwaarden, natuur en veiligheid in de praktijk

Item does not contain fulltext206 p

Landscape level associations between birds, mosquitoes and microclimates: possible consequences for disease transmission?

oai:scholarlypublications.universiteitleiden.nl:item_3731020Environmental Biolog

Changing Rivers: Analysing fluvial landscape dynamics using remote sensing

Contains fulltext : 53738_chanri.pdf (publisher's version ) (Open Access)Radboud University Nijmegen, 11 september 2008Promotor : Smits, A.J.M.190 p

Vegetation dynamics of a meandering river (Allier, France)

Contains fulltext : 60388.pdf (publisher's version ) (Open Access

Classification of floodplain vegetation by data fusion of spectral (CASI) and LiDAR data

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The influence of natural and anthropogenic processes on a regulated riverine landscape

Contains fulltext : 92471.pdf (publisher's version ) (Open Access

Bridging gaps between river science, governance and management : NCR-days 2015, October 1-2, 2015 Radboud Univrsity, Nijmegen : Book of Abstracts

Item does not contain fulltext128 p

Mapping of aggregated floodplain plant communities using image fusion of CASI and LiDAR data

Combined optical and laser altimeter data offer the potential to map and monitor plant communities based on their spectral and structural characteristics. A problem unresolved is, however, that narrowly defined plant communities, i.e. plant communities at a low hierarchical level of classification in the Braun-Blanquet system, often cannot be linked directly to remote sensing data for vegetation mapping. We studied whether and how a floristic dataset can be aggregated into a few major discrete, mappable classes without substantial loss of ecological meaning. Multi-source airborne data (CASI and LiDAR) and floristic field data were collected for a floodplain along the river Waal in the Netherlands. Mapping results based on floristic similarity alone did not achieve highest levels of accuracy. Ordination of floristic data showed that terrain elevation and soil moisture were the main underlying environmental drivers shaping the floodplain vegetation, but grouping of plant communities based on their position in the ordination space is not always obvious. Combined ordination-based grouping with floristic similarity clustering led to syntaxonomically relevant aggregated plant assemblages and yielded highest mapping accuracie