Classification of Grassland Successional Stages Using Airborne Hyperspectral Imagery
Autor: | Honor C. Prentice, Jonas Dalmayne, Karin Hall, Thomas Möckel, Sebastian Schmidtlein, Oliver Purschke, Lars Eklundh |
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Rok vydání: | 2014 |
Předmět: |
Specific leaf area
Geography & travel Ecological succession imaging spectroscopy Spatial distribution Ellenberg indicator values Grassland HySpex spectrometer lcsh:Science ddc:910 Remote sensing arable-to-grassland succession geography geography.geographical_feature_category Hyperspectral imaging Plant community Forestry Vegetation Biological Sciences Physical Geography partial least square discriminant analysis General Earth and Planetary Sciences Environmental science lcsh:Q Indicator value |
Zdroj: | Remote sensing, 6 (8), 7732-7761 Remote Sensing, Vol 6, Iss 8, Pp 7732-7761 (2014) Remote Sensing; 6(8), pp 7732-7761 (2014) Remote Sensing Volume 6 Issue 8 Pages: 7732-7761 |
ISSN: | 2072-4292 |
DOI: | 10.3390/rs6087732 |
Popis: | Plant communities differ in their species composition, and, thus, also in their functional trait composition, at different stages in the succession from arable fields to grazed grassland. We examine whether aerial hyperspectral (414–2501 nm) remote sensing can be used to discriminate between grazed vegetation belonging to different grassland successional stages. Vascular plant species were recorded in 104.1 m2 plots on the island of Öland (Sweden) and the functional properties of the plant species recorded in the plots were characterized in terms of the ground-cover of grasses, specific leaf area and Ellenberg indicator values. Plots were assigned to three different grassland age-classes, representing 5–15, 16–50 and >50 years of grazing management. Partial least squares discriminant analysis models were used to compare classifications based on aerial hyperspectral data with the age-class classification. The remote sensing data successfully classified the plots into age-classes: the overall classification accuracy was higher for a model based on a pre-selected set of wavebands (85%, Kappa statistic value = 0.77) than one using the full set of wavebands (77%, Kappa statistic value = 0.65). Our results show that nutrient availability and grass cover differences between grassland age-classes are detectable by spectral imaging. These techniques may potentially be used for mapping the spatial distribution of grassland habitats at different successional stages. |
Databáze: | OpenAIRE |
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