
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 deepen the 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 define 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.
[SHS.GEO] Humanities and Social Sciences/Geography, urban environment, morpho-spatial database, imagery comparison, [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], Hyperspectral imagery, [SHS.STAT] Humanities and Social Sciences/Methods and statistics, [SDE.ES] Environmental Sciences/Environment and Society, [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, Morpho-spectral database
[SHS.GEO] Humanities and Social Sciences/Geography, urban environment, morpho-spatial database, imagery comparison, [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], Hyperspectral imagery, [SHS.STAT] Humanities and Social Sciences/Methods and statistics, [SDE.ES] Environmental Sciences/Environment and Society, [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, Morpho-spectral database
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| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
