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Presentation
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| Details of the presentation |
| Presentation |
Poster presentation |
| Title |
Satellite remote sensing for biodiversity - as part of the BIOTA project in West Africa
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| PDF Download |
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| Short title |
Remote sensing and modelling for biodiversity in BIOTA West
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| Author(s) |
Landmann, T.(1); Wegmann, M.(1); Fahr, J.(2); Schmidt, M.(1,3); Dech, S. (1,3)
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| Presenting author |
Landmann, T. (1)
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| Institution(s) |
(1) Remote Sensing Department in cooperation with DLR, University of Wuerzburg; (2) Department of Experimental Ecology, University of Ulm; (3) German Remote Sensing Data Centre (DFD), German Aerospace Centre (DLR), Oberpfaffenhofen.
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| Keywords |
Satellite imagery; wetland diversity; Maxent modelling; forest fragmentation
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| Abstract |
This poster shows examples of how remote sensing variables are employed to map biodiversity patterns in West Africa. Data variables from the Moderate Resolution Imaging Spectroradiometer (MODIS) are processed and paired with zoological specimen and botanical data using ecological niche modeling, Maxent models and transfer or scaling functions. Biodiversity relevant maps are produced from the models and the transfer functions that exhibit forest fragmentation across larger parts of West Africa, the distribution that is diversity of bats species, and wetland vegetation diversity using three exemplary wetland sites in Burkina Faso. The BIOTA West remote sensing mapping examples show the important linkages between satellite remote sensing and ecological modeling. The potential to further expand the interdisciplinary modeling approaches, as shown herein, become apparent, especially when frequent and rigorous satellite data sets are employed for species and vegetation diversity change mapping.
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| Congress Topic |
Observation System
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| Topic No. |
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| Notes |
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| Ref. No. |
562 |
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