Mapping private gardens in urban areas using object-oriented techniques and very high-resolution satellite imagery
Mapping private gardens in urban areas using object-oriented techniques and very high-resolution satellite imagery
复制标题
DOI：
10.1016/j.landurbplan.2006.11.009
复制
发表时间：
2007-06-20
影响因子：
9.1
通讯作者：
Aryal, Jagannath
中科院分区：
文献类型：
--
作者：
Mathieu, Renaud;Freeman, Claire;Aryal, Jagannath
花园仍然是城市地区研究最少、了解最少的栖息地。除了最近在英国紧急资助的城市家庭花园项目，有一个显着缺乏研究的生态特征和贡献的花园更广泛的城市生物多样性。这是尽管事实上，花园通常包括最大的植被组成部分的城市绿地资源。这一遗漏部分是由于在获得关于花园的生态数据方面存在固有的困难，以及缺乏对花园数据进行分类和分析的方法。本文介绍了在新西兰达尼丁市进行的一项研究的数据。该研究开发了一种方法，利用面向对象的分类技术和非常高分辨率的多光谱Ikonos图像，自动绘制该市私人花园的范围、分布和密度。重点是绿化花园面积，据计算，占住宅面积的46%或市区总面积的36%。进行了严格的准确性评估。当使用自动分类技术时，共有90.7%的私人花园被正确识别。对花园类型的区分（例如以树木或草地为主）令人鼓舞，但仍需改进。我们的研究结果表明，该方法具有巨大的潜力，提供了一种快速的方法，获得高质量的生态数据在城市地区的花园栖息地。(c)2006 Elsevier B.V.保留所有权利。
Gardens remain the least studied and least understood habitat in urban areas. With the recent exception of the URGENT funded urban domestic gardens project in the UK, there is a notable lack of research on the ecological character and contribution of gardens to the wider urban biodiversity. This is despite the fact that gardens usually comprise the largest vegetated component of the urban greenspace resource. In part this omission has been due to the difficulties inherent in obtaining ecological data on gardens and the lack of a methodology for classifying and analysing garden data. This paper presents data from a study undertaken in the city of Dunedin, New Zealand. The study developed a methodology using object-oriented classification techniques and very high-resolution multispectral Ikonos imagery to automatically map the extent, distribution and density of private gardens in the city. The focus was on the vegetated garden area which was calculated as comprising 46% of the residential area or 36% of the total urban area. Rigorous accuracy assessments were undertaken. When using the automated classification technique, a total of 90.7% of the private gardens were correctly identified. Discrimination of garden types (e.g. trees or grass dominated) was encouraging, but still requires improvement. Our results indicate the great potential that the methodology has in providing a quick method for obtaining good quality ecological data on garden habitats in urban areas. (c) 2006 Elsevier B.V. All rights reserved.