One of the most important issues in Remote Sensing (RS) is related to the analysis and the characterization of land cover (LC) and its change, very useful to efficiently undertake land planning and management policies. The case study here described, has been conducted in the area of Avellino (Southern Italy) by means of remote sensing techniques in combination with GIS and landscape metrics. A multi-temporal set of remote-sensed imagery has been used: aerial photos (surveys: 1954, 1974, 1990), Landsat images (MSS 1975, TM 1993, ETM+ 2004) and digital aerial orthophotos (1994 and 2006). In order to characterize the dynamics of changes, the study has integrated temporal trend analysis and landscape metrics, focusing on the urban-rural gradient. First, aerial photos have been interpreted and satellite images have been classified: the results have been synthesized into a map of LC changes during a fifty year period (1954÷2004). This has allowed to characterize landscape patterns through significant indices, in order to understand the changes therein, especially along two different transects. This study has shown that LC pattern and its change 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), local specific zoning laws and urban plans have significantly addressed landscape changes.
Characterizing land cover change using multi-temporal remote sensed imagery and landscape metrics
MODICA, Giuseppe;
2010-01-01
Abstract
One of the most important issues in Remote Sensing (RS) is related to the analysis and the characterization of land cover (LC) and its change, very useful to efficiently undertake land planning and management policies. The case study here described, has been conducted in the area of Avellino (Southern Italy) by means of remote sensing techniques in combination with GIS and landscape metrics. A multi-temporal set of remote-sensed imagery has been used: aerial photos (surveys: 1954, 1974, 1990), Landsat images (MSS 1975, TM 1993, ETM+ 2004) and digital aerial orthophotos (1994 and 2006). In order to characterize the dynamics of changes, the study has integrated temporal trend analysis and landscape metrics, focusing on the urban-rural gradient. First, aerial photos have been interpreted and satellite images have been classified: the results have been synthesized into a map of LC changes during a fifty year period (1954÷2004). This has allowed to characterize landscape patterns through significant indices, in order to understand the changes therein, especially along two different transects. This study has shown that LC pattern and its change 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), local specific zoning laws and urban plans have significantly addressed landscape changes.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
