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Type of publication: Straipsnis kitose duomenų bazėse / Article in other databases (S4)
Field of Science: Miškotyra / Forestry (A004)
Author(s): Gadal, Sébastien;Ouerghemmi, Walid;Barlatier, Romain;Mozgeris, Gintautas
Title: Critical analysis of urban vegetation mapping by satellite multispectral and airborne hyperspectral imagery
Is part of: GISTAM 2019 : Proceedings of the 5th international conference on geographical information systems theory, applications and management, Heraklion, Crete - Greece, May 3 - 5, 2019. Setúbal : SCITEPRESS – Science and Technology Publications, Lda, 2019
Extent: p. 97-104
Date: 2019
Keywords: Multi-temporal;Satellite imagery;Airborne hyperspectral imagery;Vegetation species;NDVI
ISBN: 9789897583711
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%
Affiliation(s): Miškotvarkos ir medienotyros institutas
Miškų ir ekologijos fakultetas
Vytauto Didžiojo universitetas
Žemės ūkio akademija
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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