Surya, PCKB and Kumar, A and Saikia, P and Lele, N and Srivastava, P and Pulla, S and Suresh, H and Kumar Bhattarcharya, B and Latif Khan, M and Sukumar, R (2023) Mapping of understorey invasive plant species clusters of Lantana camara and Chromolaena odorata using airborne hyperspectral remote sensing. In: Advances in Space Research .
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Abstract
The present study highlights delineation of the distribution of understorey invasive plant species (IPS) in Mudumalai Tiger Reserve (MTR), Western Ghats, India using very high resolution airborne imaging spectroscopy images by evaluating the performance of a Multiple Endmember Spectral Mixture Analysis (MESMA). Lantana camara L. and Chromolaena odorata (L.) R.M.King & H.Rob. have imposed a serious threat to natural ecosystems in MTR by altering the ecosystem processes. The Airborne Visible-Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) based analysis delineated the distribution of understorey IPS, viz., L. camara and C. odorata in MTR, with an overall accuracy of 87 % (k = 0.84) and 84 % (k = 0.8), respectively, with minimal root-mean-square error (RMSE) of MESMA classification (0.001 to 0.0025). In MTR, both the IPS were distributed in large parts and in association with all dominant canopy tree species barring Eucalyptus species. L. camara was majorly found in the southern parts of central MTR with ‘high’ to ‘very high’ presence covering 23.09 % and 11.51 % of the total area of central MTR, respectively, in association with Terminalia anogeissiana Gere & Boatwr. and Tectona grandis L.f. Whereas, C. odorata was dominantly found with high (18.11 % area of central MTR) to very high (11.85 % area of central MTR) intensity in the south and southeastern parts within the vicinity of T. anogeissiana and Terminalia elliptica Willd. The study highlights the utilization of high spectral agility in mapping of understorey IPS through spectral differentiation of the patchy distribution of IPS and its intermixing with other local species may be helpful in ecological restoration, conservation of biodiversity, and provisioning long-term management of ecosystem services in highly invaded tropical forests. © 2022 COSPAR
Item Type: | Journal Article |
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Publication: | Advances in Space Research |
Publisher: | Elsevier Ltd |
Additional Information: | The copyright for this article belongs to Elsevier Ltd. |
Keywords: | Conservation; Ecosystems; Forestry; Hyperspectral imaging; Mean square error; Photomapping; Population distribution; Radiometers; Remote sensing; Spectrometers; Thermography (imaging), Airborne Visible Infrared/Imaging Spectrometers; Airborne visible-infrared imaging spectrometer-next generation; HyperSpectral; Invasive plant species; Invasive plants; Multiple endmember spectral mixture analysis; Plant species; Sentinel-1; Spectro-radiometers; Understorey, Biodiversity |
Department/Centre: | Division of Biological Sciences > Centre for Ecological Sciences |
Date Deposited: | 14 Mar 2023 07:19 |
Last Modified: | 14 Mar 2023 07:19 |
URI: | https://eprints.iisc.ac.in/id/eprint/80996 |
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