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Authors: Sébastien Gadal 1 ; Walid Ouerghemmi 1 ; Romain Barlatier 1 and Gintautas Mozgeris 2

Affiliations: 1 Aix-Marseille Univ, CNRS, ESPACE UMR 7300, Univ. Nice Sophia Antipolis, Avignon Univ, 13545 Aix-en-Provence and France ; 2 Aleksandras Stulginskis University, LT-53361, Akademija, Kaunas r. and Lithuania

Keyword(s): Multi-temporal, Satellite Imagery, Airborne Hyperspectral Imagery, Vegetation Species, NDVI.

Abstract: The monitoring and management of urban vegetation is an important issue nowadays due to the multiple benefits of vegetation for people well-being and for maintaining the balance of ecosystem. In that context, the following study explore to what extent remote sensing imagery could be used to detect and to characterize urban vegetation. Two types of imagery were tested which are low-resolution satellite (i.e. Sentinel 2 and Landsat 8 OLI) and high resolution airborne (i.e. Rikola hyperspectral sensor), the study assessed the detectability of vegetation species over Kaunas city (Lithuania) for different seasonal acquisitions. Satellite imagery showed accurate detection of 3 coarse classes of vegetation with overall accuracies (O.A.) superior to 90%, and airborne hyperspectral imagery showed decent detection of 13 fine classes of vegetation with O.A. of up to 73%.

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Paper citation in several formats:
Gadal, S., Ouerghemmi, W., Barlatier, R. and Mozgeris, G. (2019). Critical Analysis of Urban Vegetation Mapping by Satellite Multispectral and Airborne Hyperspectral Imagery. In Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM; ISBN 978-989-758-371-1; ISSN 2184-500X, SciTePress, pages 97-104. DOI: 10.5220/0007721400970104

@conference{gistam19,
author={Sébastien Gadal and Walid Ouerghemmi and Romain Barlatier and Gintautas Mozgeris},
title={Critical Analysis of Urban Vegetation Mapping by Satellite Multispectral and Airborne Hyperspectral Imagery},
booktitle={Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM},
year={2019},
pages={97-104},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007721400970104},
isbn={978-989-758-371-1},
issn={2184-500X},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM
TI - Critical Analysis of Urban Vegetation Mapping by Satellite Multispectral and Airborne Hyperspectral Imagery
SN - 978-989-758-371-1
IS - 2184-500X
AU - Gadal, S.
AU - Ouerghemmi, W.
AU - Barlatier, R.
AU - Mozgeris, G.
PY - 2019
SP - 97
EP - 104
DO - 10.5220/0007721400970104
PB - SciTePress

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