• español
  • English
  • français
  • Deutsch
  • português (Brasil)
  • italiano
Consorcio BUCLE Recolector
  • Contattaci
  • Manda Feedback
  • Enlaces y accesos
    • Derechos de autor
    • Políticas
    • Guía de autoarchivo
    • FAQ y ayuda
    • La ULE y el Acceso Abierto
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Repositorio
    Institucional
    Abierto

    Consorcio BUCLE Recolector

    Ricerca

    Tutto BULERIAArchivi & CollezioniAutoriDirectoresTitoliSoggettiFacultad/CentroÁrea de conocimientoFecha de creación/publicaciónTitulaciónQuesta CollezioneAutoriDirectoresTitoliSoggettiFacultad/CentroÁrea de conocimientoFecha de creación/publicaciónTitulación

    My Account

    Login

    Statistiche

    Ver Estadísticas de uso

    Otros enlaces

    Mostra Item 
    •   BULERIA Home
    • Produzione Scientifica
    • Untitled
    • Mostra Item
    •   BULERIA Home
    • Produzione Scientifica
    • Untitled
    • Mostra Item

    Compartir

    Exportar

    RISMendeleyRefworksZotero
    • edm
    • marc
    • xoai
    • qdc
    • ore
    • ese
    • dim
    • uketd_dc
    • oai_dc
    • etdms
    • rdf
    • mods
    • mets
    • didl
    • premis

    Citas

    Título
    Detection of Geothermal Potential Zones Using Remote Sensing Techniques
    Autor
    Lago González, David
    Rodríguez-Gonzálvez, Pablo
    Facultad/Centro
    Escuela Superior y Tecnica de Ingenieros de Minas
    Área de conocimiento
    Ingeniería Cartografica, Geodesica y Fotogrametria
    Título de la revista
    Remote Sensing
    Número de la revista
    20
    Editor
    MDPI
    Fecha
    2019-10-16
    ISSN
    2072-4292
    Abstract
    The transition towards a new sustainable energy model—replacing fossil fuels with renewable sources—presents a multidisciplinary challenge. One of the major decarbonization issues is the question of to optimize energy transport networks for renewable energy sources. Within the range of renewable energies, the location and evaluation of geothermal energy is associated with costly processes, such as drilling, which limit its use. Therefore, the present research is aimed at applying different geomatic techniques for the detection of geothermal resources. The workflow is based on free/open access geospatial data. More specifically, remote sensing information (Sentinel-2A and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER)), geological information, distribution of gravimetric anomalies, and geographic information systems have been used to detect areas of shallow geothermal potential in the northwest of the province of Orense, Spain. Due to the variety of parameters involved, and the complexity of the classification, a random forest classifier was employed, since this algorithm works well with large sets of data and can be used with categorical and numerical data. The results obtained allowed identifying a susceptible area to be operated on with a geothermal potential of 80 W·m−1 or higher
    Materia
    Cartografía
    Palabras clave
    Geothermal energy
    Remote Sensing
    Renewable energy
    Gravimetric anomalies
    Random forest
    Peer review
    SI
    URI
    http://hdl.handle.net/10612/12345
    DOI
    https://doi.org/10.3390/rs11202403
    Aparece en las colecciones
    • Untitled [2724]
    Mostra tutti i dati dell'item
    Files in questo item
    Nombre:
    remotesensing-11-02403-v2.pdf
    Tamaño:
    5.257Mb
    Formato:
    Adobe PDF
    Thumbnail
    Mostra/Apri