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

Sébastien Rapinel; Nicolas Rossignol; Laurence Hubert-Moy; Jan-Bernard Bouzillé; Anne Bonis

doi:10.1111/avsc.12396

Journal articles

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}

* Corresponding author

1 ECOBIO - Ecosystèmes, biodiversité, évolution [Rennes]

2 LETG - Littoral, Environnement, Télédétection, Géomatique UMR 6554

3 GEOLAB - Laboratoire de Géographie Physique et Environnementale

Abstract : 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 : vegetation typology wetlands LiDAR remote sensing Pléiades phytosociology noise clustering

Document type :

Journal articles

Domain :

Environmental Sciences / Biodiversity and Ecology

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https://hal-univ-rennes1.archives-ouvertes.fr/hal-01937631
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Submitted on : Thursday, December 17, 2020 - 2:53:07 PM
Last modification on : Saturday, March 20, 2021 - 3:09:17 AM
Long-term archiving on: : Thursday, March 18, 2021 - 6:05:23 PM

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

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

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