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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kellenberger, R. Kneubuhler, M. Kellenberger, T. |
| Copyright Year | 2009 |
| Description | Author affiliation: Dept. of Biology, University of Zürich, Winterthurerstrasse 190, 8057 Zürich, Switzerland (Kellenberger, R.) || Remote Sensing Laboratories, Dept. of Geography, University of Zürich, Winterthurerstrasse 190, 8057 Zürich, Switzerland (Kneubuhler, M.) || Bundesamt für Landestopographie swisstopo, Seftigenstrasse 264, 3084 Wabern, Switzerland (Kellenberger, T.) |
| Abstract | Remote Sensing bears the potential to contribute towards identification and mapping of endemic and endangered plant species. This study assesses the spatial distribution of Welwitschia mirabilis, an ancient desert plant species, in its natural habitat, Africa's Namib desert. Welwitschia mirabilis is one of the oldest plants in existence; some plants reach an age of up to 1500 years. Considered as a living fossil, the plant is difficult to map both due to the fragile ecosystem in which it lives, and the fact that a large part of its indigenous area is inaccessible as a result of diamond mining. In a first step, various Welwitschia individuals from botanical institutions within Switzerland are spectrally characterized using an ASD FieldSpec3 spectroradiometer. These data sets are investigated to a) identify potential spectral differences within and among individuals and b) elaborate possible common spectral characteristics of the genus usable for remote sensing recognition. The results of these experiments show that the overall spectral behaviour of Welwitschia does not represent potential influencing factors like plant age, plant stress and environment, which makes the signal suitable for remote sensing species detection. In a second step, mapping of individual Welwitschia plants is performed in a valley of the Namib-Naukluft Park using multispectral IKONOS satellite data of high spatial resolution. The plant species are classified using a maximum likelihood approach. It can be concluded that with the IKONOS data used, an adequate result may only be achieved under ideal conditions where Welwitschia individuals and additional plants (e.g., acacias, bushes) grow apart from each other on a homogeneous background consisting of bright gravel and sand. Despite the huge amount of shadow fractions within a plant pixel due to the spatial resolution of the image, the species Welwitschia was successfully detected by its typical spectral signal. Spatial and spectral resolution remain a limiting factor in accurately mapping individual Welwitschia species and detecting them in a heterogeneously vegetated environment. Future spaceborne sensors of higher spatial and spectral resolution can further contribute towards an improved assessment of plant individuals from space and may therefore support the detection of threatened, invasive or prohibited species. |
| File Size | 333675 |
| File Format | |
| ISBN | 9781424433940 |
| DOI | 10.1109/IGARSS.2009.5417388 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-12 |
| Publisher Place | South Africa |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Spatial resolution Remote sensing Signal resolution Africa Ecosystems Variable speed drives Spectroradiometers Character recognition Stress Satellites high resolution satellite data Spectroscopy species mapping Welwitschia Mirabilis Namibia |
| Content Type | Text |
| Resource Type | Article |
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