Hyperspectral Imagery for Urban Environment
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Urban Remote Sensing".
Deadline for manuscript submissions: closed (31 July 2019) | Viewed by 27070
Special Issue Editors
Interests: urban environment; urban multifunctionality; remote sensing
Special Issues, Collections and Topics in MDPI journals
Interests: high-spatial-resolution sensor; remote sensing signal and image processing; urban environment
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Urban areas face many recent and, most likely, future challenges and require monitoring and mapping. Urban growth steers urban planning decisions, with new projects adding new urban surfaces, volumes and forms and consequences, such as urban heat island, runoff water management challenges, and high degrees of sealed surfaces. Urban sprawl leads to disruptions in landscape, fragmentation of natural habitats, biodiversity erosion, loss of agricultural or forestry resources, and multifunctionality of natural areas. Urban areas studies require strong cross-disciplinary relationships in order to provide relevant information for decision making or for territorial prospective modelling.
To face these challenges, it is mandatory to gather the most efficient information allowing the considering of LU/LC evolution, biodiversity erosion, urban environment elements… under demographic and socioeconomic pressures over decades. Hyperspectral airborne sensors open the way to an innovative carrier for discrimination of man-made materials or to monitoring of vegetation biodiversity.
Due to the specificity of urban areas, the estimation of accurate physical properties dedicated to end-user applications require new sensors developments by taking into account the 3D shape of the city, shadow effects in atmospheric correction, geo-referencing, optical properties and surface temperature retrieval, multitemporal analysis, urban land cover mapping and its monitoring. Further, this range of remote sensing techniques enables the user to extract complementary information thus improving our understanding of complex urban structures. As one of many consequences data fusion methods need to be extended to account for multiscale images, cross-sensor fusion, spectral unmixing, bottom-up and top-down data integration methods beyond including RS-GIS integrated methods.
We particularly seek for contributions of recent methodological and theoretical developments gathering cross-disciplinary visions able to cope with the challenges related to the “21st urban century”.
Dr. Christiane WeberDr. Xavier Briottet
Dr. Clement Mallet
Guest Editors
Manuscript Submission Information
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Keywords
- Hyperspectral sensors
- Urban environment
- Big data
- Methodological enhancement
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