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Google Earth Engine-Based Visual/Qualitative Investigation on Urbanization: Quick Urban Sprawl Visualization in Beijing, China
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Author(s): Muhammad Ashar Ayub (University of Agriculture Faisalabad, Pakistan), Zia Ur Rahman Farooqi (Institute of Soil and Environmental Sciences, University of Agriculture Faisalabad, Pakistan), Wajid Umar (Szent Istvan University, Gödöllő, Hungary), Muhammad Nadeem (Institute of Soil and Environmental Sciences, University of Agriculture Faisalabad, Pakistan), Tasawar Ali (Institute of Soil and Environmental Sciences, University of Agriculture Faisalabad, Pakistan), Hina Fatima (School of Applied Biosciences, Kyungpook National University, South Korea), Zahoor Ahmad (Department of Field Crops, Faculty of Agriculture, University of Cukurova, Adana, Turkey)and Muhammad Naveed Arshad (Aberystwyth University, UK)
Copyright: 2021
Pages: 14
Source title:
Examining International Land Use Policies, Changes, and Conflicts
Source Author(s)/Editor(s): G. N. Tanjina Hasnat (University of Chittagong, Bangladesh)and Mohammed Kamal Hossain (University of Chittagong, Bangladesh)
DOI: 10.4018/978-1-7998-4372-6.ch007
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Abstract
An increase in the global population has led to a net shift of the global community to move towards cities from per-urban and village areas due to various reasons. This population pressure has made a net expansion of cities over time making urban-periurban fringe quite non-distinguishable in past decades. Especially in developing countries, these cities' expansion is often done on agricultural lands resulting in fast depletion of the most important natural resource responsible for feeding the globe. Google Earth Engine is an open access multi-functional remote sensing platform that can be effectively used to monitor urban sprawls. In this chapter, after a brief introduction of urbanization, google earth engine-based investigation is presented to visualize urban sprawl patterns in Beijing China. Visual presentation and high spatial resolution of google earth engine have proven to be very beneficial in this regard and the author strongly recommends using it for quick multi temporal urbanization study.
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