Land Cover classification and change-detection analysis using multi-temporal remote sensed imagery and landscape metrics

被引：193

作者：

Fichera, Carmelo Riccardo ^{[1
]}

Modica, Giuseppe ^{[1
]}

Pollino, Maurizio ^{[1
,2
]}

机构：

[1] Mediterranea Univ Reggio Calabria, Dept Agroforestry & Environm Sci & Technol DiSTAf, I-89122 Reggio Di Calabria, Italy

[2] ENEA Natl Agcy New Technol Energy & Sustainable, Earth Observat & Anal Lab UTMEA TER, Casaccia Res Ctr, I-00123 Rome, Italy

来源：

EUROPEAN JOURNAL OF REMOTE SENSING | 2012年 / 45卷 / 01期

关键词：

Classification; Land Cover (LC) changes; Change-detection; Landscape metrics; Sustainable landscape planning; Avellino (Italy); SATELLITE IMAGERY; URBAN SPRAWL; GROWTH; PATTERN; AREAS; GIS; MAP;

D O I：

10.5721/EuJRS20124501

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

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 divided by 2004), a multi-temporal 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.

引用

页码：1 / 18

页数：18

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