Assessment of urbanization encroachment over Al-Monib island using fuzzy post classification comparison and urbanization metrics

• Main Author: Lamyaa Gamal El-Deen Taha
• Format: Article
• Language: English
• Published: Elsevier 2014-12-01
• Series: Egyptian Journal of Remote Sensing and Space Sciences
• Subjects: Change detection; Al-Monib Island; Rectification; Urbanization; Fuzzy Post-classification; Texture feature; Urbanization metrics; Landuse planning
• Online Access: http://www.sciencedirect.com/science/article/pii/S1110982314000258

Nile River has about 144 islands from Aswan to the Mediterranean Sea. In this research remotely sensed images have been used for the assessment of land cover changes in the Al-Monib island as part of an ongoing sustainable development of this island. The island has witnessed high rates of change in land use in the past few years. An urbanization process continues and it causes serious increases in urban areas while decreasing the amount of green areas. The most common use of many of the change detection algorithms has been to identify the change in coarse to medium spatial resolution satellite imagery. Now there is great interest in identifying the change in high spatial resolution multispectral data such as SPOT5 and QuickBird. In order to improve the quality and accuracy, different cues have been extracted such as IHS or PCA and texture derived from color image. Fuzzy classification has been performed several times utilizing from Multi-Cue integration (resulted into six classifications) for each date. Assessment of different approaches of classification (six classifications) has been performed for each date. After that fuzzy post classification comparison has been made for the best case. Value of the urban expansions for the period of 2002–2009 was calculated as 0.11 km2. The urban expansion rate had been realized as 3.04%. Another significant change was the decline in agricultural lands result was estimated to be 8.29%. The changes of landscape pattern were then analyzed using a series of spatial metrics (class level) which were derived from FRAGSTATS software.