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Spectral identification of native and non-native plant species for biodiversity assessments


Santos, Maria J; Ustin, Susan L (2018). Spectral identification of native and non-native plant species for biodiversity assessments. In: IGARSS 2018 (IEEE International Geoscience and Remote Sensing Symposium), Valencia (E), 22 July 2018 - 27 July 2018. IEEE, 3420-3423.

Abstract

Invasive species are one of the main drivers of biodiversity loss. In the past decade, the development of environmental spectroscopy, both field spectrometers and airborne imaging spectrometers, has allowed progress in identifying individual species from remote sensing data. However, use of environmental spectroscopy for species identification needs understanding at a more fundamental level, especially the development of generalized methodologies and rules for detection and mapping, which is an area of active research today. These issues will be explored using examples from a wide range of habitats and site conditions, towards the development of a robust methodology to identify native and non-native species.

Abstract

Invasive species are one of the main drivers of biodiversity loss. In the past decade, the development of environmental spectroscopy, both field spectrometers and airborne imaging spectrometers, has allowed progress in identifying individual species from remote sensing data. However, use of environmental spectroscopy for species identification needs understanding at a more fundamental level, especially the development of generalized methodologies and rules for detection and mapping, which is an area of active research today. These issues will be explored using examples from a wide range of habitats and site conditions, towards the development of a robust methodology to identify native and non-native species.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), not_refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Scopus Subject Areas:Physical Sciences > Computer Science Applications
Physical Sciences > General Earth and Planetary Sciences
Language:English
Event End Date:27 July 2018
Deposited On:25 Jan 2019 14:05
Last Modified:14 Aug 2022 07:59
Publisher:IEEE
ISBN:978-1-5386-7150-4
OA Status:Closed
Publisher DOI:https://doi.org/10.1109/igarss.2018.8517397