DocumentCode :
513005
Title :
Spectral characterisation and mapping of Welwitschia mirabilis in Namibia
Author :
Kellenberger, Roman ; Kneubühler, Mathias ; Kellenberger, Tobias
Author_Institution :
Dept. of Biol., Univ. of Zurich, Zurich, Switzerland
Volume :
4
fYear :
2009
fDate :
12-17 July 2009
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.
Keywords :
geophysical signal processing; maximum likelihood estimation; spectral analysis; vegetation mapping; ASD FieldSpec3 spectroradiometer; African Namib desert; Namib-Naukluft Park; Namibia; Welwitschia mirabilis mapping; Welwitschia mirabilis spatial distribution; Welwitschia mirabilis spectral characterisation; ancient desert plant species; endangered plant species mapping; endemic plant species mapping; maximum likelihood approach; multispectral IKONOS satellite data; plant age; plant environment; plant species classification; plant stress; remote sensing; Africa; Character recognition; Ecosystems; Remote sensing; Satellites; Signal resolution; Spatial resolution; Spectroradiometers; Stress; Variable speed drives; Namibia; Spectroscopy; Welwitschia Mirabilis; high resolution satellite data; species mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location :
Cape Town
Print_ISBN :
978-1-4244-3394-0
Electronic_ISBN :
978-1-4244-3395-7
Type :
conf
DOI :
10.1109/IGARSS.2009.5417388
Filename :
5417388
Link To Document :
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