Abstract
Remote sensing and spatial analysis of urban agriculture remains an under-researched topic, especially in cities of the 'developed world', despite the multiple valuable roles attributed to this activity. The work presented in this paper concerns the exploration of very high resolution (VHR) satellite imagery for detecting and characterizing urban agriculture in Lisbon. Different approaches of Geographic Object-Based Image Analysis were employed to extract agricultural use from a pan-sharpened QuickBird image, and results were compared. Agricultural areas were then characterized using a digital terrain model, and also a vegetation index computed from the multispectral bands. Results illustrate the potential and limitations of using VHR imagery and feature extraction methods to detect and monitor informal agriculture within a very heterogeneous urban fabric.
Original language | English |
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Pages | 86-89 |
Number of pages | 4 |
Publication status | Published - 1 Dec 2009 |
Event | 33rd International Symposium on Remote Sensing of Environment, ISRSE 2009 - Stresa, Italy Duration: 4 May 2009 → 8 May 2009 |
Conference
Conference | 33rd International Symposium on Remote Sensing of Environment, ISRSE 2009 |
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Country/Territory | Italy |
City | Stresa |
Period | 4/05/09 → 8/05/09 |
Keywords
- Definiens Professional
- ENVI
- Feature Analyst
- Feature extraction
- GEOBIA
- Lisbon
- QuickBird
- Urban agriculture