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Image analysis methods to monitor natura 2000 habitats at regional scales - the ms. monina state service example in schleswig-holstein, Germany

Buck, Oliver ; Klink, Adrian ; Millán, Virginia Elena García LU ; Pakzad, Kian and Müterthies, Andreas (2013) In Photogrammetrie, Fernerkundung, Geoinformation 2013(5). p.415-426
Abstract

Summary: The Natura 2000 network of protected sites is one of the means to address the issue of biodiversity conservation in Europe. Protected under the habitat directive, EU member states have to undertake surveillance of habitats and species of community interest and report every six years on habitat range and distribution, conservation status and the future prospects of the habitats within and outside of protected sites. Remote sensing techniques have been applied successfully to monitor habitat changes relevant for Natura 2000 monitoring using multioral satellite image data, but many challenges remain especially outside protected sites to assess the development of habitats over time. A flexible information layer concept was... (More)

Summary: The Natura 2000 network of protected sites is one of the means to address the issue of biodiversity conservation in Europe. Protected under the habitat directive, EU member states have to undertake surveillance of habitats and species of community interest and report every six years on habitat range and distribution, conservation status and the future prospects of the habitats within and outside of protected sites. Remote sensing techniques have been applied successfully to monitor habitat changes relevant for Natura 2000 monitoring using multioral satellite image data, but many challenges remain especially outside protected sites to assess the development of habitats over time. A flexible information layer concept was developed within the FP7 project MS.MONINA to address the complex task of monitoring natural habitats. In this paper the new approach to classify grassland land cover classes in Schleswig-Holstein, Germany, will be presented. Based on ecological parameters experts defined simple description models, which were used by image analysts to extract corresponding image features for four different grassland types. Information layer operators were defined to extract image features for subsequent classifications.

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author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
keywords
Grassland habitats, Knowledge-based image classification, RapidEye
in
Photogrammetrie, Fernerkundung, Geoinformation
volume
2013
issue
5
pages
12 pages
publisher
E. Schweizerbartsche Verlagsbuchhandlung
external identifiers
  • scopus:84886026879
ISSN
1432-8364
DOI
10.1127/1432-8364/2013/0188
language
English
LU publication?
no
id
b1cc1d29-563e-4331-870a-bca07c1270cb
date added to LUP
2019-06-12 12:10:13
date last changed
2022-01-31 21:41:36
@article{b1cc1d29-563e-4331-870a-bca07c1270cb,
  abstract     = {{<p>Summary: The Natura 2000 network of protected sites is one of the means to address the issue of biodiversity conservation in Europe. Protected under the habitat directive, EU member states have to undertake surveillance of habitats and species of community interest and report every six years on habitat range and distribution, conservation status and the future prospects of the habitats within and outside of protected sites. Remote sensing techniques have been applied successfully to monitor habitat changes relevant for Natura 2000 monitoring using multioral satellite image data, but many challenges remain especially outside protected sites to assess the development of habitats over time. A flexible information layer concept was developed within the FP7 project MS.MONINA to address the complex task of monitoring natural habitats. In this paper the new approach to classify grassland land cover classes in Schleswig-Holstein, Germany, will be presented. Based on ecological parameters experts defined simple description models, which were used by image analysts to extract corresponding image features for four different grassland types. Information layer operators were defined to extract image features for subsequent classifications.</p>}},
  author       = {{Buck, Oliver and Klink, Adrian and Millán, Virginia Elena García and Pakzad, Kian and Müterthies, Andreas}},
  issn         = {{1432-8364}},
  keywords     = {{Grassland habitats; Knowledge-based image classification; RapidEye}},
  language     = {{eng}},
  month        = {{10}},
  number       = {{5}},
  pages        = {{415--426}},
  publisher    = {{E. Schweizerbartsche Verlagsbuchhandlung}},
  series       = {{Photogrammetrie, Fernerkundung, Geoinformation}},
  title        = {{Image analysis methods to monitor natura 2000 habitats at regional scales - the ms. monina state service example in schleswig-holstein, Germany}},
  url          = {{http://dx.doi.org/10.1127/1432-8364/2013/0188}},
  doi          = {{10.1127/1432-8364/2013/0188}},
  volume       = {{2013}},
  year         = {{2013}},
}