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GIS to Support Cost-effective Decisions on Renewable Sources

Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSAPPLSCIENCES))

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Abstract

The input data to the decision support systems are acquired from multiple sources and transferred to a common data structure. The data are selected on the basis of known relationship between the geothermal potential and the energy demand, which shall, later in the book, be calculated from these data. The choice of data sources is based on criteria of quality and accessibility; the emphasis is on remote sensing systems since they have a wide geographic coverage and are frequently updated.

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Notes

  1. 1.

    https://lpdaac.usgs.gov/products/modis_products_table

  2. 2.

    NASA Land Processes Distributed Active Archive Center (LP DAAC). MODIS products. USGS/Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota. 2012.

  3. 3.

    https://lpdaac.usgs.gov/tools/modis_reprojection_tool

  4. 4.

    http://www.eea.europa.eu

  5. 5.

    Centro di Ecologia e Climatologia Marche, Osservatorio Geofisico Sperimentale di Macerata, http://www.geofisico.it/

  6. 6.

    Atlante Climatico d'Italia by Servizio Meteorologico dell'Aeronautica Militare http://clima.meteoam.it/AtlanteClimatico/Index.htm.

  7. 7.

    http://re.jrc.ec.europa.eu/pvgis/

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Authors and Affiliations

  1. Ancona, Italy

    Alberto Gemelli & Adriano Mancini

  2. Università Politecnica delle Marche, Ancona, Italy

    Claudia Diamantini & Sauro Longhi

Authors
  1. Alberto Gemelli
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  2. Adriano Mancini
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  3. Claudia Diamantini
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  4. Sauro Longhi
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Corresponding author

Correspondence to Alberto Gemelli .

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Gemelli, A., Mancini, A., Diamantini, C., Longhi, S. (2013). Data Collection. In: GIS to Support Cost-effective Decisions on Renewable Sources. SpringerBriefs in Applied Sciences and Technology. Springer, London. https://doi.org/10.1007/978-1-4471-5055-8_4

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  • DOI: https://doi.org/10.1007/978-1-4471-5055-8_4

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-5054-1

  • Online ISBN: 978-1-4471-5055-8

  • eBook Packages: EngineeringEngineering (R0)

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