Quantifying Spatial Heterogeneity in Urban Landscapes: Integrating Visual Interpretation and Object-Based Classification
文献类型：期刊论文
| 作者 | Zhou, Weiqi ; Cadenasso, Mary. L. ; Schwarz, Kirsten ; Pickett, Steward T. A. |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2014 |
| 卷号 | 6期号:4页码:3369-3386 |
| 关键词 | object-based image analysis visual interpretation spatial heterogeneity land cover classification urban landscape Baltimore |
| ISSN号 | 2072-4292 |
| 中文摘要 | Describing and quantifying the spatial heterogeneity of land cover in urban systems is crucial for developing an ecological understanding of cities. This paper presents a new approach to quantifying the fine-scale heterogeneity in urban landscapes that capitalizes on the strengths of two commonly used approachesvisual interpretation and object-based image analysis. This new approach integrates the ability of humans to detect pattern with an object-based image analysis that accurately and efficiently quantifies the components that give rise to that pattern. Patches that contain a mix of built and natural land cover features were first delineated through visual interpretation. These patches served as pre-defined boundaries for finer-scale segmentation and classification of within-patch land cover features which were classified using object-based image analysis. Patches were then classified based on the within-patch proportion cover of features. We applied this approach to the Gwynns Falls watershed in Baltimore, Maryland, USA. The object-based classification approach proved to be effective for classifying within-patch land cover features. The overall accuracy of the classification maps of 1999 and 2004 were 92.3% and 93.7%, respectively. This exercise demonstrates that by integrating visual interpretation with object-based classification, the fine-scale spatial heterogeneity in urban landscapes and land cover change can be described and quantified in a more efficient and ecologically meaningful way than either purely automated or visual methods alone. This new approach provides a tool that allows us to quantify the structure of the urban landscape including both built and non-built components that will better accommodate ecological research linking system structure to ecological processes. |
| WOS记录号 | WOS:000336746900038 |
| 公开日期 | 2015-03-23 |
| 源URL | [http://ir.rcees.ac.cn/handle/311016/9213]  |
| 专题 | 生态环境研究中心_城市与区域生态国家重点实验室 |
| 推荐引用方式 GB/T 7714 | Zhou, Weiqi,Cadenasso, Mary. L.,Schwarz, Kirsten,et al. Quantifying Spatial Heterogeneity in Urban Landscapes: Integrating Visual Interpretation and Object-Based Classification[J]. REMOTE SENSING,2014,6(4):3369-3386. |
| APA | Zhou, Weiqi,Cadenasso, Mary. L.,Schwarz, Kirsten,&Pickett, Steward T. A..(2014).Quantifying Spatial Heterogeneity in Urban Landscapes: Integrating Visual Interpretation and Object-Based Classification.REMOTE SENSING,6(4),3369-3386. |
| MLA | Zhou, Weiqi,et al."Quantifying Spatial Heterogeneity in Urban Landscapes: Integrating Visual Interpretation and Object-Based Classification".REMOTE SENSING 6.4(2014):3369-3386. |
入库方式： OAI收割
来源：生态环境研究中心
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