Abstract
Remote Sensing (RS) data and techniques, in combination with GIS and landscape metrics,
are fundamental to analyse and characterise Land Cover (LC) and its changes. The case
study here described, has been conducted in the area of Avellino (Southern Italy). To
characterise the dynamics of changes during a fifty year period (1954÷2004), a multitemporal set of images has been processed: aerial photos (1954), and Landsat scenes (MSS
1975, TM 1985 and 1993, ETM+ 2004). LC pattern and its changes are linked to both
natural and social processes whose driving role has been clearly demonstrated in the case
study: after the disastrous Irpinia earthquake (1980), specific zoning laws and urban plans
have significantly addressed landscape changes.
Keywords: Classification, Land Cover (LC) changes, Change-detection, Landscape
metrics, Sustainable landscape planning, Avellino (Italy).
Abstract
Remote Sensing (RS) data and techniques, in combination with GIS and landscape metrics,
are fundamental to analyse and characterise Land Cover (LC) and its changes. The case
study here described, has been conducted in the area of Avellino (Southern Italy). To
characterise the dynamics of changes during a fifty year period (1954÷2004), a multitemporal set of images has been processed: aerial photos (1954), and Landsat scenes (MSS
1975, TM 1985 and 1993, ETM+ 2004). LC pattern and its changes are linked to both
natural and social processes whose driving role has been clearly demonstrated in the case
study: after the disastrous Irpinia earthquake (1980), specific zoning laws and urban plans
have significantly addressed landscape changes.
Keywords: Classification, Land Cover (LC) changes, Change-detection, Landscape
metrics, Sustainable landscape planning, Avellino (Italy).
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