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Title: Multi-scale assessment of invasive plant species diversity using Pléiades 1A, RapidEye and Landsat-8 data
Authors: Khare S.
Latifi H.
Ghosh, Sanjay Kumar
Published in: Geocarto International
Abstract: We used a full remote sensing-based approach to assess plant species diversity in large and inaccessible areas affected by Lantana camara L., a common invasive species within the deciduous forests of Western Himalayan region of India, using spectral heterogeneity information extracted from optical data. The spread of L. camara was precisely mapped by Pléiades 1A data, followed by comparing Pléiades 1A, RapidEye and Landsat-8 OLI–assessed plant species diversities in invaded areas. The single plant species analysis was improved by Pléiades 1A-based diversity analysis, and higher species diversity values were observed for mixed vegetation cover. Furthermore, lower Coefficient of Variation and Renyi diversity values were observed where L. camara was the only species, while higher variations were observed in areas with a mixed spectral reflectance. This study was concluded to add a crucial baseline to the previous studies on remote sensing-based solutions for rapid estimation of biodiversity attributes. © 2017 Informa UK Limited, trading as Taylor & Francis Group.
Citation: Geocarto International, 33(7): 681-698
Issue Date: 2018
Publisher: Taylor and Francis Ltd.
Keywords: Himalaya
Lantana camara
Pléiades 1A
species diversity
ISSN: 10106049
Author Scopus IDs: 56448200900
Author Affiliations: Khare, S., Geomatics Engineering Group, Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee, India
Latifi, H., Department of Remote Sensing, University of Würzburg, Würzburg, Germany
Ghosh, S.K., Geomatics Engineering Group, Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee, India
Funding Details: European Space Agency with [Project Id: 33429] for providing Pl?iades 1A data-set; RapidEye Science Archieve (RESA) with [Project Id: 00184] for providing RapidEye datasets. The Landsat-8 OLI data were provided by the U.S. Geological survey (USGS) EROS data center. We thank RESA platform of DLR/Blackbridge for providing RapidEye imageries and we also thank European Space Agency (ESA) for providing Pl?iades 1A dataset. The first author would like to place on record that Department of Remote Sensing of University of W?rzburg, Germany provided two research stays to first author (from 1 September 2015 to 30 November 2015 and from 10 June 2016 to 15 July 2016). U.S. Geological Survey, USGS; European Space Agency, ESA: 00184, 33429
Corresponding Author: Khare, S.; Geomatics Engineering Group, India; email:
Appears in Collections:Journal Publications [CE]

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