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Urban Vegetation Mapping using Hyperspectral Imagery and Spectral Library

Abstract : The development and expansion of urbanized areas around the cities, brings new challenging issues about the organization, the monitoring, and the distribution of green spaces within the cities (e.g. grass, trees, shrubs, etc.). Indeed, these spaces brings better life quality for population and preserve biodiversity. This study, aims to 1) investigate the feasibility of urban vegetation mapping by species using multiband imagery and spectral libraries and to 2) determine at what scale the mapping is reliable (e.g. trees scale, group of trees scale, high/short vegetation scale).
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Submitted on : Thursday, August 2, 2018 - 1:17:17 PM
Last modification on : Thursday, August 4, 2022 - 4:53:57 PM
Long-term archiving on: : Saturday, November 3, 2018 - 3:33:43 PM


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  • HAL Id : hal-01852849, version 1


Walid Ouerghemmi, Sébastien Gadal, Gintautas Mozgeris. Urban Vegetation Mapping using Hyperspectral Imagery and Spectral Library. IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2018, IEEE, Jul 2018, Valencia, Spain. pp.1632-1635. ⟨hal-01852849⟩



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