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

Sébastien Rapinel 1, 2 N. Rossignol 1 L. Hubert-Moy 2 J.-B. Bouzillé 1 A. 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
Keywords : noise clustering phytosociology Pléiades remote sensing LiDAR wetlands vegetation typology
Document type :
Journal articles
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https://hal-univ-rennes1.archives-ouvertes.fr/hal-01937631
Contributor : Laurent Jonchère <>
Submitted on : Wednesday, November 28, 2018 - 11:05:34 AM
Last modification on : Monday, September 9, 2019 - 4:12:09 PM

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ECOBIO | UNIV-RENNES1 | UNIV-BREST | ECOBIO-ESDD | EPHE | UNIV-ANGERS | PSL | UNIV-RENNES2 | UR2-HB | UR1-UFR-SVE | OSUR | COMUE-NORMANDIE | UNIV-NANTES | UNIV-RENNES | UNICAEN | LETG | PRES_CLERMONT | IR-SHS | GEOLAB | UNILIM | GEOLAB-DGA

Citation

Sébastien Rapinel, N. Rossignol, L. Hubert-Moy, J.-B. Bouzillé, A. 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⟩

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