Towards a semi-automated mapping of Australia native invasive alien Acacia trees using Sentinel-2 and radiative transfer models in South Africa

dc.contributor.authorMasemola, Cecilia
dc.contributor.authorCho, Moses Azong
dc.contributor.authorRamoelo, Abel
dc.date.accessioned2020-11-05T05:09:13Z
dc.date.issued2020-08
dc.description.abstractInvasive alien plants (IAPs) threaten biodiversity and critical ecosystem services worldwide. There is, therefore, an urgent need to develop intervention measures to control the spread of IAPs. Efforts to control and monitor the spread of IAPs would require their current and detailed distribution over a large geographic area. Recently launched multispectral instrument on-board Sentinel-2 provides free data with good spatiotemporal and spectral resolution, compared to Landsat datasets. The Sentinel-2 dataset, therefore, can be a useful source of the IAPs spatial information required for detection and monitoring purposes. We combined Sentinel-2 data with a radiative transfer model to discriminate IAPs (Acacia mearnsii and Acacia dealbata) from surrounding native tree species in Van Reenen, KwaZulu-Natal, South Africa. The forward mode of combined PROSPECT leaf optical properties model and SAIL canopy bidirectional reflectance model, also referred to as PROSAIL was used to simulate reflectance corresponding to bands of Sentinel-MSI, while the PROSAIL model inversion retrieved leaf area index (LAI) and canopy chlorophyll contents (CCC) of the IAPs and native species. Both reflectance and retrieved properties were used to map the distribution of the species within the study area. Our results showed that A. mearnsii and A. dealbata could be accurately discriminated from the surrounding native trees using integrated PROSAIL Sentinel-2 based model. We found that CCC– and LAI-based (% accuracy = 92.8%, 91.4% for CCC and LAI, respectively) modelling produced a higher classification accuracy than field sampling-based modelling (Accuracy = 90.2% (IAP), 82.2% (NAT) and kappa coefficient = 0.84 (IAP), 0.78 (NAT)). Simulated bands corresponding to Sentinel-2 data, on the other hand, produced species maps comparable to field sampling-based maps. Overall, the integrated PROSAIL Sentinel-2 inversion approach proved suitable for detecting and mapping IAPs over a large area. Due to the high spatiotemporal coverage of Sentinel-2, satellite images, the model developed showed the potential to contribute to the IAPs monitoring systems.en_ZA
dc.description.departmentPlant Production and Soil Scienceen_ZA
dc.description.embargo2021-08-01
dc.description.librarianhj2020en_ZA
dc.description.sponsorshipThe Council for Scientific and Industrial Research (CSIR), South Africaen_ZA
dc.description.urihttp://www.elsevier.com/ locate/ isprsjprsen_ZA
dc.identifier.citationMasemola, C., Cho, M.A. & Ramoelo, A. 2020, 'Towards a semi-automated mapping of Australia native invasive alien Acacia trees using Sentinel-2 and radiative transfer models in South Africa', ISPRS Journal of Photogrammetry and Remote Sensing, vol. 166, pp. 153-168.en_ZA
dc.identifier.issn0924-2716 (print)
dc.identifier.issn1872-8235 (online)
dc.identifier.other10.1016/j.isprsjprs.2020.04.009
dc.identifier.urihttp://hdl.handle.net/2263/76905
dc.language.isoenen_ZA
dc.publisherElsevieren_ZA
dc.rights© 2020 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in ISPRS Journal of Photogrammetry and Remote Sensing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in ISPRS Journal of Photogrammetry and Remote Sensing, vol. 166, pp. 153-168, 2020. doi : 10.1016/j.isprsjprs.2020.04.009.en_ZA
dc.subjectInvasive alien plant (IAP)en_ZA
dc.subjectCanopy chlorophyll contents (CCC)en_ZA
dc.subjectLeaf area index (LAI)en_ZA
dc.subjectRadiative transfer modelen_ZA
dc.subjectPROSAILen_ZA
dc.subjectSentinel-2en_ZA
dc.titleTowards a semi-automated mapping of Australia native invasive alien Acacia trees using Sentinel-2 and radiative transfer models in South Africaen_ZA
dc.typePostprint Articleen_ZA

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