Identification and mapping of natural vegetation on a coastal site using a Worldview-2 satellite image
Fiche du document
25 juin 2014
- handle: 10670/1.85g10q
- hal: hal-01017152
- doi: 10.1016/j.jenvman.2014.05.027
- PUBMED: 24973612
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jenvman.2014.05.027
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/pmid/24973612
info:eu-repo/semantics/OpenAccess
Mots-clés
Remote-sensing Vegetation formations Very high spatial resolution Super spectral resolution Object-oriented classificationSujets proches
Vegetable kingdom Plantae Plant kingdom Vegetation Wildlife FloraCiter ce document
Sebastien Rapinel et al., « Identification and mapping of natural vegetation on a coastal site using a Worldview-2 satellite image », HAL-SHS : géographie, ID : 10.1016/j.jenvman.2014.05.027
Métriques
Partage / Export
Résumé
Identification and mapping of natural vegetation are major issues for biodiversity management and conservation. Remotely sensed data with very high spatial resolution are currently used to study vegetation, but most satellite sensors are limited to four spectral bands, which is insufficient to identify some natural vegetation formations. The study objectives are to discriminate natural vegetation and identify natural vegetation formations using a Worldview-2 satellite image. The classification of the Worldview-2 image and ancillary thematic data was performed using a hybrid pixel-based and objectoriented approach. A hierarchical scheme using three levels was implemented, from land cover at a field scale to vegetation formation. This method was applied on a 48 km2 site located on the French Atlantic coast which includes a classified NATURA 2000 dune and marsh system. The classification accuracy was very high, the Kappa index varying between 0.90 and 0.74 at land cover and vegetation formation levels respectively. These results show that Wordlview-2 images are suitable to identify natural vegetation. Vegetation maps derived from Worldview-2 images are more detailed than existing ones. They provide a useful medium for environmental management of vulnerable areas. The approach used to map natural vegetation is reproducible for a wider application by environmental managers.