Land Cover classification and change-detection analysis using multi-temporal remote sensed imagery and landscape metrics
Land Cover classification and change-detection analysis using multi-temporal remote sensed imagery and landscape metrics
复制标题
DOI：
10.5721/eujrs20124501
复制
发表时间：
2012-01-01
影响因子：
4
通讯作者：
Pollino, Maurizio
中科院分区：
文献类型：
--
作者：
Fichera, Carmelo Riccardo;Modica, Giuseppe;Pollino, Maurizio
遥感（RS）数据和技术，结合地理信息系统和景观指标，是分析和监测土地覆盖及其变化的基础。这里描述的案例研究，已在阿韦利诺（意大利南部）地区进行。为了分析50年期间（1954年除以2004年）的变化动态，对一组多时相图像进行了处理：航空照片（1954年）和陆地卫星场景（MSS 1975，TM 1985和1993，ETM+ 2004）。LC模式及其变化与自然和社会过程有关，其驱动作用在案例研究中得到了明确的证明：灾难性的Irpinia地震（1980年）后，具体的分区法律和城市规划显着解决景观变化。
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.