Detection of Rhododendron in Deciduous Woodland Using Airborne Hyperspectral Remote Sensing

 
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Gary Llewellyn, Loreena Jaouen, Jennifer Killeen, Chloe Barnes,
Luke Platts, Steve Case and David Mothersdill
 
gary.llewellyn@2excel.uk
 
D696 | EGU2020-19931
 
NEO HySPEX VNIR sensor
 
Spectral range: 400 – 1000nm
Spatial bands: 1800
Spectral channels: 186
Spectral sampling: 3.26nm
Bit resolution: 16 bit
Flight height (above ground level): 1000m
 
Rhododendron (
Rhododendron ponticum
) has been identified as
an invasive non-native species (INNS) in the UK and a potential
carrier of plant pathogen 
Phytophthora ramorum
.
 
High resolution satellite solutions
 
Airborne hyperspectral data allows for the detection of
specific understorey species rather than the general
identification of similar under-storey species, i.e. Potential
Rhododendron.
 
In this example, spectral angle mapper (SAM) values are
used to separate three understorey species.
 
Although ‘high’ spatial resolution satellite data
could identify areas of ‘potential rhododendron’,
the discrimination of rhododendron from other
understorey woodland vegetation was not
possible.
 
Only hyperspectral systems could specifically
identify rhododendron in the understorey and
only airborne hyperspectral systems could
provide both the spatial and spectral resolution
required to identify and map rhododendron
coverage.
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Airborne hyperspectral remote sensing, specifically with the NEO HySPEX VNIR sensor, has enabled the identification of invasive Rhododendron species in UK woodlands. The technology offers high spectral resolution, allowing for the targeted detection of understorey species like Rhododendron, which can serve as carriers for plant pathogens. While high spatial resolution satellite data can identify potential Rhododendron areas, only hyperspectral systems can accurately separate Rhododendron from other woodland vegetation. This study highlights the importance of airborne hyperspectral systems for mapping Rhododendron coverage in woodland environments.


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  1. Detection of rhododendron in a deciduous woodland using airborne hyperspectral remote sensing Gary Llewellyn, Loreena Jaouen, Jennifer Killeen, Chloe Barnes, Luke Platts, Steve Case and David Mothersdill gary.llewellyn@2excel.uk D696 | EGU2020-19931

  2. NEO HySPEX VNIR sensor Spectral range: 400 1000nm Spatial bands: 1800 Spectral channels: 186 Spectral sampling: 3.26nm Bit resolution: 16 bit Flight height (above ground level): 1000m

  3. Rhododendron (Rhododendron ponticum) has been identified as an invasive non-native species (INNS) in the UK and a potential carrier of plant pathogen Phytophthora ramorum.

  4. High resolution satellite solutions

  5. Airborne hyperspectral data allows for the detection of specific understorey species rather than the general identification of similar under-storey species, i.e. Potential Rhododendron. In this example, spectral angle mapper (SAM) values are used to separate three understorey species.

  6. Although high spatial resolution satellite data could identify areas of potential rhododendron , the discrimination of rhododendron from other understorey woodland vegetation was not possible. Only hyperspectral systems could specifically identify rhododendron in the understorey and only airborne hyperspectral systems could provide both the spatial and spectral resolution required to identify and map rhododendron coverage.

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