Mapping grassland plant communities using a fuzzy approach to address floristic and spectral uncertainty

Sébastien Rapinel (1, 2) , Nicolas Rossignol (1) , Laurence Hubert-Moy (2) , Jan-Bernard Bouzillé (1) , Anne Bonis (1, 3)

1 ECOBIO - Ecosystèmes, biodiversité, évolution [Rennes]
2 LETG - Littoral, Environnement, Télédétection, Géomatique UMR 6554
3 GEOLAB - Laboratoire de Géographie Physique et Environnementale

Aims: The mapping and monitoring of natural vegetation is a challenging but important objective for environmental management. Although remote sensing has been used to map plant communities for several years, the maps produced are not sufficiently accurate to meet management requirements. This can be explained by the cumulative effects of floristic and spectral uncertainty. The objective of this study

Keywords: noise clustering; phytosociology; Pléiades; remote sensing; LiDAR; wetlands; vegetation typology

Domains: Environmental Sciences; Biodiversity and Ecology

Sébastien Rapinel, Nicolas Rossignol, Laurence Hubert-Moy, Jan-Bernard Bouzillé, Anne Bonis. Mapping grassland plant communities using a fuzzy approach to address floristic and spectral uncertainty. Applied Vegetation Science, 2018, 21 (4), pp.678-693. ⟨10.1111/avsc.12396⟩. ⟨hal-01937631⟩