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Urban Expansion Monitoring In Erbil City Utilizing Remote Sensing Tools
Urbanization brings with it a host of challenges and opportunities. In Erbil City, the capital of the Kurdistan Region in Iraq, urban expansion has been a pressing issue in recent years. As the population grows and demands for housing, infrastructure, and services increase, it is essential to monitor and manage urban growth effectively. This is where remote sensing tools come into play, offering valuable insights and data for urban planners and policymakers.
The Need for Urban Expansion Monitoring
Erbil City has experienced rapid population growth in recent decades, driven by urbanization and economic development. As more people flock to the city in search of better opportunities, the urban landscape has started to transform at an unprecedented pace. New residential areas, commercial centers, and infrastructure projects are constantly emerging, altering the city's fabric.
Monitoring urban expansion is crucial for several reasons. Firstly, it allows city planners to understand the patterns and trends of growth, enabling them to make informed decisions and develop long-term strategies. Secondly, it helps identify areas of unplanned or illegal development that may pose risks or hinder sustainable urban development. Finally, monitoring urban expansion is essential to ensure the efficient allocation of resources and services, such as water, electricity, and transportation.
4.3 out of 5
Language | : | English |
File size | : | 3999 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Enhanced typesetting | : | Enabled |
Print length | : | 72 pages |
The Role of Remote Sensing Tools
Remote sensing tools offer a powerful means of monitoring urban expansion in Erbil and other cities around the world. By utilizing satellite imagery, aerial photography, and advanced GIS technology, urban planners and researchers can gather essential data on land use, vegetation coverage, building density, and other factors that contribute to urban growth.
The alt attribute serves as a concise yet descriptive keyword for the images used in remote sensing. For example, an image showing the expansion of residential areas may have the alt attribute "expansion-of-residential-areas-erbil-city" – a long descriptive keyword that aids in accessibility and search engine optimization.
One of the primary advantages of remote sensing tools is their ability to capture large-scale and continuous data over time. This allows for the detection of urban growth patterns, including the identification of new development areas and the expansion of existing ones. By overlaying different images and data sets, researchers can analyze the changes occurring in various parts of the city and assess their implications.
Challenges and Opportunities
While remote sensing tools offer valuable insights, there are challenges associated with their application in urban expansion monitoring. One of the main challenges is the availability and accessibility of high-quality satellite imagery. Ensuring the timely acquisition of up-to-date imagery is crucial to accurately track urban growth.
Additionally, the vast amount of data generated by remote sensing tools requires sophisticated analysis techniques and computational infrastructure. The deployment of advanced software and algorithms is necessary to process and interpret the data effectively.
However, despite these challenges, utilizing remote sensing tools in urban expansion monitoring presents numerous opportunities. The data obtained through remote sensing can inform evidence-based decision-making, enabling policymakers to allocate resources efficiently, plan for infrastructure development, and implement sustainable urban policies.
Benefits of Urban Expansion Monitoring
Effective urban expansion monitoring in Erbil City can bring about several benefits. By identifying areas of unplanned development, it becomes possible to address potential issues such as inadequate access to basic services, environmental degradation, and social inequalities. Regular monitoring can also facilitate the identification of suitable locations for future development projects, ensuring a more well-planned and sustainable urban environment.
Moreover, remote sensing tools can aid in disaster management and risk assessment. By monitoring changes in vulnerable areas, urban planners can better prepare for potential natural disasters and mitigate their effects.
Urban expansion monitoring utilizing remote sensing tools is crucial for managing growth and ensuring sustainable development in Erbil City. By harnessing the power of satellite imagery and advanced GIS technology, urban planners can gain valuable insights into the patterns of urban growth, identify areas of concern, and make informed decisions. While challenges exist in terms of data availability and analysis, the benefits of such monitoring are undeniable. With effective monitoring, Erbil City can pave the way for a prosperous, resilient, and sustainable future.
4.3 out of 5
Language | : | English |
File size | : | 3999 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Enhanced typesetting | : | Enabled |
Print length | : | 72 pages |
Master's Thesis from the year 2013 in the subject Geography / Earth Science - Cartography, Geographic Information Science and Geodesy, Sheffield Hallam University (Sheffield Hallam University),language: English, abstract: Monitoring urban land use/cover changes provide spatio-temporal information on the pattern and the amount of the changes that has taken place across the land use/cover classes, and the information obtained from the urban expansion are valuable for sustainable planning and management of urban resources.
Remote sensing techniques provide fast and effective means for classifying and mapping urban land cove/use change through examining spectra characteristics of multi-dates satellite images. In recent years, Kurdistan region cities have witnessed a rapid growth of the urban rates due to previous socio-economic and political variations in the area. The purpose of the study is to analyse and visualize spatial pattern of urban land use changes in Erbil city-Kurdistan and to quantify the amount of variations in the land use classes by applying remote sensing approach.
The research examines multi-dates Landsat 5 TM imageries for 1987, 2000 and 2011 by using supervised classification of maximum Likelihood classifier to display and measure the changes in the land use/classes in ERDAS 9.1 imagine processing software. The accuracy of the overall classification was measured by using confusion metrics and Kappa coefficient to test overall accuracy classification. The study achieved an overall accuracy which rate from 95, 96.43 and 94.29 in 1987, 2000 and 2011 respectively, which indicates that the research has achieved a significant level of classes.
The outcome of the study revealed that the study area has remarkably experienced changes in its land use/cover during the period of the study as built up area was increased by (3975.66 to 6123.7 hectares) over in 1987 to 2000, and (6123.7 to 12755.1 hectares) in 2000 to 2011. On the other hand, the amount of other classes has greatly declined during the period of the study from. Evidence from the post classification analysis has shown that open land and vegetation classes have experienced the most significant changes of rates in the urban land during the period of the research. For example, the rate of changes from open land to urban land is (5084.46),whereas the rate of the vegetation that converted to urban land is (2130.69).
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