A method for monitoring building construction in urban sprawl areas using object-based analysis of Spot 5 images and existing GIS data
A method for monitoring building construction in urban sprawl areas using object-based analysis of Spot 5 images and existing GIS data
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DOI：
10.1016/j.isprsjprs.2008.01.005
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发表时间：
2008-07-01
影响因子：
12.7
通讯作者：
Nelson, Andrew
中科院分区：
文献类型：
--
作者：
Durieux, Laurent;Lagabrielle, Erwann;Nelson, Andrew
城市扩张已被确认为全球人口增长对环境和生物多样性最负面的影响之一。需要经常监测城市扩张，以限制这一持续现象的影响。本文提出利用基于对象的分类方法对分辨率为2.5米的Spot 5图像进行建筑物建设的精确监测。在印度洋留尼汪岛的区域尺度应用表明，由于与航空摄影的传统照片判读相比，在确定建筑物的形状和数量方面存在困难，这种建筑物提取方法在制作参考城市地图方面存在局限性。然而，由于房屋建设和住宅开发速度快，在缺乏最新信息的城市扩张地区，这些结果对于规划具有重要价值。(C) 2008国际摄影测量与遥感学会。由爱思唯尔出版集团出版。保留所有权利。
Urban sprawl has been identified as one of the most negative effects of global population growth on the environment and biodiversity. Frequent monitoring of urban sprawl is needed to limit the impact of this ongoing phenomenon. This paper proposes precise monitoring of building construction using an object-based classification methodology applied to Spot 5 images with a 2.5 m resolution. An application at a regional scale on Reunion Island in the Indian Ocean shows that this building extraction methodology has limitations in the production of reference urban maps because of difficulties in defining the shape and the number of buildings compared to classical photo-interpretation of aerial photography. However, these results are of great value for planning in urban sprawl areas where up-to-date information is lacking because of the rapid pace of house construction and residential development. (C) 2008 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.