Assessment of changes in urban green spaces of Mashad city using satellite data

• Published in: International journal of applied earth observation and geoinformation 2009-12, Vol.11 (6), p.431-438
• Main Authors: Rafiee, Reza, Salman Mahiny, Abdolrassoul, Khorasani, Nematolah
• Format: Article
• Language: English
• Subjects: Applied geophysics; Change detection; Earth sciences; Earth, ocean, space; Exact sciences and technology; Internal geophysics; Landscape metrics; Mashad city; Post-classification comparison; Urban green space
• ISSN: 1569-8432; 1872-826X
• DOI: 10.1016/j.jag.2009.08.005

Green spaces play important functions in urban environments. Reducing air pollution, providing shade and habitat for arboreal birds, producing oxygen, providing shelter against winds, recreational and aesthetic qualities and architectural applications are the main functions of urban green spaces. With the rapid change of urban area in Mashad city during the past decades, green spaces have been fragmented and dispersed causing impairment and dysfunction of these important urban elements. The objective of this study was to detect changes in extent and pattern of green areas of Mashad city and to analyze the results in terms of landscape ecology principles and functioning of the green spaces. In this research, we classified a Landsat TM and an IRS LISS-III image belonging to the years 1987 and 2006, respectively. We then used a post-classification comparison to determine the changes in green space areas of Mashad city during the 19 years covered by the images. Then, we applied landscape ecology calculations to derive metrics that quantified pattern of the changes in the green areas. The results showed that during 19 years from 1987, a significant decrease had occurred in the extent of urban green spaces with a concomitant fragmentation resulting in downgrading and destruction of the functions and services these areas provide. We conclude that the general quality of life in the central parts of the city has been diminished. We also state that a combination of remote sensing image classification, landscape metrics assessment and vegetation indices can provide a tool for assessing life quality and its trend for urban areas.