Remote sensing of coastal vegetation in the Netherlands and Belgium
Vegetation maps are frequently used in conservation planning and evaluation. Monitoring commitments, a.o. in relation to the European Habitat Directive, increase the need for efficient mapping tools. This paper explores methods of vegetation mapping with particular attention to automated classification of remotely sensed images. Characteristics of two main types of imagery are discussed, very high spatial resolution false colour images on the one hand and hyperspectral images on the other. The first type has proved its qualities for mapping of - mainly - vegetation structure in dunes and salt... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2005 |
Schlagwörter: | Geographical information systems / GIS / Mapping / Remote sensing / Vegetation / ANE / Belgium / Netherlands / Europe / The Netherlands |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-29627601 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://www.vliz.be/imisdocs/publications/73774.pdf |
Vegetation maps are frequently used in conservation planning and evaluation. Monitoring commitments, a.o. in relation to the European Habitat Directive, increase the need for efficient mapping tools. This paper explores methods of vegetation mapping with particular attention to automated classification of remotely sensed images. Characteristics of two main types of imagery are discussed, very high spatial resolution false colour images on the one hand and hyperspectral images on the other. The first type has proved its qualities for mapping of - mainly - vegetation structure in dunes and salt marshes. Hyperspectral imagery enables thematic detail but encounters more technical problems.