• DocumentCode
    614231
  • Title

    Anthropogenic carbon stocks analysis in sparsely urbanized areas using remote sensing: A case study

  • Author

    Villa, Paolo ; Scalenghe, Riccardo ; Malucelli, Francesco

  • Author_Institution
    Signals & Images Lab., ISTI, Pisa, Italy
  • fYear
    2013
  • fDate
    21-23 April 2013
  • Firstpage
    119
  • Lastpage
    122
  • Abstract
    Anthropogenic carbon stocks in urbanized areas is a topic of growing importance at both local and regional scale nowadays, but its assessment is subjects to difficulties due to lack of data and spatial heterogeneity of the target. Remote sensing of urban areas has demonstrated its usefulness in assessing phenomena such as soil sealing and surface imperviousness, which are considered to be effective indicators of urbanization. This work presents a preliminary study of mid resolution satellite data capabilities in providing information about anthropogenic carbon stocks over the area of Emilia-Romagna region in Northern Italy. This has been done through a dual approach consisting of: (1) a direct way of deriving a proxy for carbon stocks assessment via imperviousness surfaces mapping and (2) an indirect way of characterizing urbanization patterns by means of land cover classification. Results show interesting correlation pattern between reference anthropogenic carbon-organic carbon ratio values and both imperviousness map (R2 up to 0.63) and urban features cover map (R2 up to 0.75), with more evident matching in correspondence of sparsely urbanized areas.
  • Keywords
    carbon capture and storage; geophysical image processing; image classification; remote sensing; terrain mapping; Emilia-Romagna region; Northern Italy; anthropogenic carbon stocks analysis; land cover classification; reference anthropogenic carbon-organic carbon ratio values; remote sensing; soil sealing; sparsely urbanized areas; surface imperviousness; target spatial heterogeneity; urban cover map; urbanization effective indicators; Carbon; Carbon dioxide; Indexes; Remote sensing; Satellites; Soil; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Urban Remote Sensing Event (JURSE), 2013 Joint
  • Conference_Location
    Sao Paulo
  • Print_ISBN
    978-1-4799-0213-2
  • Electronic_ISBN
    978-1-4799-0212-5
  • Type

    conf

  • DOI
    10.1109/JURSE.2013.6550680
  • Filename
    6550680