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    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/57904

    Título
    Detecting areas vulnerable to sand encroachment using remote sensing and GIS techniques in Nouakchott, Mauritania
    Autor
    Gómez, Diego
    Salvador González, PabloAutoridad UVA Orcid
    Sanz Justo, María JuliaAutoridad UVA Orcid
    Casanova Roque, CarlosAutoridad UVA
    Casanova Roque, José LuisAutoridad UVA
    Año del Documento
    2018
    Editorial
    MDPI
    Descripción
    Producción Científica
    Documento Fuente
    Remote Sensing, 2018, vol. 10, n. 10, p. 1541
    Résumé
    Sand dune advances poses a major threat to inhabitants and local authorities in the area of Nouakchott, Mauritania. Despite efforts to control dune mobility, accurate and adequate local studies are still needed to tackle sand encroachment. We have developed a Sand Dune Encroachment Vulnerability Index (SDEVI) to assess Nouakchott’s vulnerability to sand dune encroachment. Said index is based on the geo-physical characteristics of the area (wind direction and intensity, slope and surface height, land use, vegetation or soil properties) with Geographic Information System (GIS) techniques that can support local authorities and decision-makers in implementing preventive measures or reducing impact on the population and urban infrastructures. In order to validate this new index, we use two remote sensing approaches: optical-Sentinel 2 and Synthetic Aperture Radar (SAR)–Sentinel 1 data. Results show that the greatest vulnerability is located in the north-eastern part of Nouakchott, where local conditions favor the advance of sand in the city, although medium to high values are also found in the eastern part. Optical images enabled us to distinguish desert sand using the ratio between near infrared/blue bands, and SAR Coherence Change Detection (CCD) imagery was used to assess the degree of stability of those sand bodies. The nature of the SDEVI index allows us to currently assess which areas are vulnerable to sand encroachment since we use long data records. Nevertheless, optical and SAR remote sensing allow sand evolution to be monitored on a near real-time basis.
    Materias Unesco
    22 Física
    2213 Termodinámica
    Palabras Clave
    Coherence change detection
    GIS
    Preventive measures
    Sand encroachment
    Vulnerability
    ISSN
    2072-4292
    Revisión por pares
    SI
    DOI
    10.3390/rs10101541
    Version del Editor
    https://www.mdpi.com/2072-4292/10/10/1541
    Propietario de los Derechos
    © 2018 The Author(s)
    Idioma
    eng
    URI
    https://uvadoc.uva.es/handle/10324/57904
    Tipo de versión
    info:eu-repo/semantics/publishedVersion
    Derechos
    openAccess
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    • DEP31 - Artículos de revista [167]
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    Detecting-areas-vulnerable.pdf
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