Abstract

The spread of urban development in the west delta and studying the factors of attraction and expulsion in the new cities and reclamation of desert land in Egypt becomes a hot issue nowadays. That is to solve the crisis of greater Cairo and central delta; this is in order to re-planning some new cities such as Sadat city that has been used as a study area in this paper. It was noticed that the population, in Sadat city, have abandoned it .Also, to consider the factors of shortfalls, both in services or in poor planning on the basis of the target population size in the original plan. In the light of these facts, some questions should be answered such as: i) how fast are such changes taking place? ii) What are the trends of such changes? In this regard, we used two quick bird (MS) satellite images with a high resolution which covering the years of 2004 and 2009. Three change detection methods were applied: i) Principle Component Analysis (PCA). ii) Minimum noise fraction. iii) Subtraction technique. Accuracy assessments were done for each class [urban and linear features (roads, canals)]. The obtained results are tabulated and analyzed.

Highlights

  • Urbanization encroachment can be attributed according to the rapid population growth and human welfare and so on

  • Causes to urge on the work of a national strategy such as the establishment of new towns and attractive investment for residents to exit densities fro m the Delta and the Nile valley and reclamation of desert land in Egypt and to protect agricultural lands fro m u rbanizat ion encroachment or to re-planning some new cities and consider the factors of short falls, both in services or in poor p lanning on the basis of the target population, size in the original plan, and to solve another problem wh ich is the absence of some services and problems related to the repeated and semi-permanent stopping of water and electricity which h inders the complet ion of new construction and the establishment of new roads

  • Other methods to determine change versus no-change include Spitzer, et al, (12) who ut ilize spectral methods such as the Iterative Principal Co mponent Analysis (IPCA) to determine temporal d istance in feature space and combine it with a Bayesian decision ru le to determine the presence of change

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Summary

Introduction

Urbanization encroachment can be attributed according to the rapid population growth and human welfare and so on. Carlotto (2) presents a method for detecting ongoing patterns of change associated with construction over a number of temporally spaced images. Another approach (6) uses clustering via the k-means algorithm on homogeneous portions (2x2 reg ions) of an image pair and detects changes through cluster differences over the temporal pair. They further attempt to characterize the detected changes through the signed differences of bio mass index and Normalized Difference Vegetation Index (NDVI)

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