Abstract
Abstract. Monitoring the Urban Land Cover/Land Use change detection is important as one of the main driving forces of environmental change because Urbanization is the biggest changes in form of Land, resulting in a decrease in cultivated areas. Using remote sensing ability to solve land resources problems. The purpose of this research is to map the urban areas at different times to monitor and predict possible urban changes, were studied the annual growth urban land during the last 29 years in Algiers City. Improving the productiveness of long-term training in land mapping, were have developed an approach by the following steps: 1) pre-processing for improvement of image characteristics; 2) extract training sample candidates based on the developed methods; and 3) Derive maps and analyzed of Algiers City on an annual basis from 1987 to 2016 using a Supervised Classifier Support Vector Machine (SVMs). Our result shows that the strategy of urban land followed in the region of Algiers City, developed areas mostly were extended to East, West, and South of Central Regions. The urban growth rate is linked with National Office of Statistics data. Future studies are required to understand the impact of urban rapid lands on social, economy and environmental sustainability, it will also close the gap in data of urbanism available, especially on the lack of reliable data, environmental and urban planning for each municipality in Algiers, develop experimental models to predict future land changes with statistically significant confidence.
Highlights
Urban change, in particular, is an important issue of Urban development and the environment (Roberts et al, 2016)
The class of Urban land is defined as built environment with impervious surfaces (Li et al, 2015) dominated by man-made structures such as buildings and transportation/Communication/Utilities, Industrial, Commercial, Institutional, Mixed uses; The class of vegetation mainly includes areas that are covered with trees, forest plantation, grass, farmland, and orchard; the class of Bare Field includes exposed soil surfaces with little vegetation covers, such as deforested lands, abandoned farmlands, quarries, and naturally
On the basis of a time series of the Landsat images, land use and land cover (LULC) of the study region was classified into four categories such as Urban land, Vegetation Bare field, Water bodies, the supervised classification method (SVMs) provides excellent results in all Landsat images as shown in Figure 4: And it has increased in recent years of the study period of the project, and the urbanization of Algiers City clear that urban extension has increased substantially continuously from year to year, and urban areas throughout the area in 2015 was the almost year after the year 1987
Summary
In particular, is an important issue of Urban development and the environment (Roberts et al, 2016). The main purpose of this research is to follow the land cover land use LC/LU especially the Urban Land and its influence of decreasing the agriculture. Covers most Urban Land with many spectral bands that can be used to determine the soil-related debilitating areas in urban (Bauer et al, 2004). This approach is based on the study of the urban tissue that develops faster with an annual growth rate, which oversees the evaluation of urban change detectors in each municipality and control the speed of expansion. It is attractive more important to know its spatial and temporal dynamics for urban environment improvement (Shahtahmassebi et al, 2014)
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