Karin Hall
Professor
Hyperspectral and multispectral remote sensing for mapping grassland vegetation
Författare
Summary, in Swedish
Popular Abstract in English
European dry extensive grasslands are biodiversity hotspots which are severely
threatened by land use intensification and abandonment. In order to plan efficient
conservation actions it is necessary to collect information on the current status of
grasslands, their species diversity and prevailing environmental conditions. Remote
sensing technology in combination with ground surveys provides an effective tool to
monitor ecosystem properties continuously across the landscape with high spatial
precision in a repeatable way. In this thesis, the potential of hyper-and multispectral
remote sensing imagery to predict grassland ecological parameters, such as grazing
continuity, plant species diversity and habitat environmental conditions was evaluated
studying grassland sites on the Baltic island of Öland, Sweden. Different methods
were compared on the basis of their prediction quality and practical feasibility. The
findings of this thesis provide a useful guidance for the selection of prediction
methods of ecological grassland parameter in future studies. Combined with ground
surveys, remote sensing can serve as time-efficient decision support tool for
prioritising areas of high conservation value for management actions.
European dry extensive grasslands are biodiversity hotspots which are severely
threatened by land use intensification and abandonment. In order to plan efficient
conservation actions it is necessary to collect information on the current status of
grasslands, their species diversity and prevailing environmental conditions. Remote
sensing technology in combination with ground surveys provides an effective tool to
monitor ecosystem properties continuously across the landscape with high spatial
precision in a repeatable way. In this thesis, the potential of hyper-and multispectral
remote sensing imagery to predict grassland ecological parameters, such as grazing
continuity, plant species diversity and habitat environmental conditions was evaluated
studying grassland sites on the Baltic island of Öland, Sweden. Different methods
were compared on the basis of their prediction quality and practical feasibility. The
findings of this thesis provide a useful guidance for the selection of prediction
methods of ecological grassland parameter in future studies. Combined with ground
surveys, remote sensing can serve as time-efficient decision support tool for
prioritising areas of high conservation value for management actions.
Avdelning/ar
- Institutionen för naturgeografi och ekosystemvetenskap
- BECC: Biodiversity and Ecosystem services in a Changing Climate
Publiceringsår
2015
Språk
Engelska
Fulltext
Dokumenttyp
Doktorsavhandling
Förlag
Department of Physical Geography and Ecosystem Science, Lund University
Ämne
- Physical Geography
Nyckelord
- Plant diversity Partial least squares Ellenberg indicators Vegetation index Heterogeneity
Status
Published
Handledare
- Karin Hall
- Honor C Prentice
ISBN/ISSN/Övrigt
- ISBN: 978-91-85793-46-4
Försvarsdatum
19 maj 2015
Försvarstid
10:00
Försvarsplats
Pangea
Opponent
- Duccio Rocchini (Dr.)