Use this url to cite publication: https://hdl.handle.net/20.500.12259/92536
Urban vegetation mapping using hyperspectral imagery and spectral library
Type of publication
Straipsnis konferencijos medžiagoje Web of Science duomenų bazėje / Article in conference proceedings in Web of Science database (P1a1)
Author(s)
| Author | Affiliation | |||||
|---|---|---|---|---|---|---|
Ouerghemmi, Walid | ||||||
Title
Urban vegetation mapping using hyperspectral imagery and spectral library
Is part of
IEEE international geoscience and remote sensing symposium (IGARSS) 2018, Jul 2018, Valencia, Spain: proceedings. New York: IEEE, 2018
Date Issued
| Date |
|---|
2018 |
Publisher
New York: IEEE, 2018
Is Referenced by
Extent
p. 1632-1635
Abstract (en)
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).
Type of document
type::text::journal::journal article::research article
Language
Anglų / English (en)
Coverage Spatial
Jungtinės Amerikos Valstijos / United States of America (US)
ISBN (of the container)
9781538671504
WOS
WOS:000451039801204
Other Identifier(s)
VDU02-000054089