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Hyperspectral Imagery for Environmental Urban Planning

Abstract : A strong intern dynamic characterizes towns, a very high spatial heterogeneity of their elements, their 3D geometric shapes (horizontal and vertical) inducing shadows, and their large variety of materials. These characteristics make the collection of information of land surface properties and urban descriptors more delicate. Due to the enhancement of spatial to deepenthe observation of urban areas. Nevertheless, such a type of sensors would not contribute to the characterization of the urban land surface properties (chemical composition of materials, species of vegetation, quality of soils, etc.). They and show great potentials might consider Hyperspectral imagery capacities as providing useful products but it becomes mandatory to de fine which type of information these different sensors can deliver. The ANR HYEP project has the purpose to demonstrate the benefit of a second generation of hyperspectral space borne mission characterized by a high spatial resolution (8m GSD) and a high temporal revisit. After a detailed description of the motivation of such a proposal, applications are given focused on urban vegetation, sealed and impervious areas, solar panel area estimation.
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Submitted on : Thursday, August 2, 2018 - 1:09:31 PM
Last modification on : Friday, August 5, 2022 - 2:38:11 PM
Long-term archiving on: : Saturday, November 3, 2018 - 4:11:19 PM


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  • HAL Id : hal-01852844, version 1


Christiane Weber, Rahim Aguejdad, Xavier Briottet, Josselin Aval, Sophie Fabre, et al.. Hyperspectral Imagery for Environmental Urban Planning. IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2018, IEEE, Jul 2018, Valencia, Spain. pp.1628-1631. ⟨hal-01852844⟩



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