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
Link To Document :
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