Browsing by Author "Shao, Zhenfeng"

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A Fuzzy Logic-Based Approach for Modelling Uncertainty in Open Geospatial Data on Landfill Suitability Analysis
(International Journal of Geo-Information) Lyimo, Neema Nicodemus; Shao, Zhenfeng; Ally, Ally Mgelwa; Twumasi, Nana Yaw Danquah; Altan, Orhan; Sanga, Camilius A
Fuzzy AutoEncode Based Cloud Detection for Remote Sensing Imagery
Shao, Zhenfeng; Deng, Juan; Wang, Lei; Fan, Yewen; Sumari, Neema S.; Cheng, Qimin
Geospatial Distribution and Accessibility of Primary and Secondary Schools: A case of Abbottabad City, Pakistan
(Proceedings of the International Cartographic Association) Sumari, Neema S.; Tanveer, Hashir; Shao, Zhenfeng; Kira, Ernest Simon
Geospatial Distribution and Accessibility of Primary and Secondary Schools: A case of Abbottabad City, Pakistan
(Proceedings of the International Cartographic Association, 2019-07-27) Sumari, Neema S.; Tanveer, Hashir; Shao, Zhenfeng; Kira, Ernest Simon
Quality education in isolated areas is a major issue in developing countries like Pakistan, as access to formal education is linked to improved life prospects for rural students. Among the factors for education, accessibility is school availability within a minimum spatial distance. The spatial distribution of schools is generally uneven in most of the cities of Northern Pakistan, thus limiting access to formal education at the primary and secondary level. This paper analyzes the spatial distribution of the primary and secondary schools found in the hilly terrain of Abbottabad city. Results show an uneven scattered pattern of schools and decreasing accessibility with longer travel times, at higher costs. Cost-weighted distance showed that this spatial distribution extends the travel distance by more than 5km for secondary school students living in the city. However, spatial restructuring and reorganization of schools in the study area would enhance student access to school facilities.
Status of geoinformatics education and training in Sub-Saharan Africa: initiatives taken and challenges
Sumari, Neema S.; Shao, Zhenfeng; Van Genderen, John L.; Musakwa, Walter; Ujoh, Fanan; Washaya, Prosper; Gumbo, Trynos
Urban sprawl and its impact on sustainable urban development: a combination of remote sensing and social media data
(Geo-spatial Information Science) Shao, Zhenfeng; Sumari, Neema S.; Portnov, Aleksei; Ujoh, Fanan; Musakwa, Walter; Mandela, Paulo J.
Urban sprawl and its impact on sustainable urban development: a combination of remote sensing and social media data
(Geo-spatial Information Science, 2020-07-28) Shao, Zhenfeng; Sumari, Neema S.; Portnov, Aleksei; Ujoh, Fanan; Musakwa, Walter; Mandela, Paulo J.
Urbanization is one of the most impactful human activities across the world today affecting the quality of urban life and its sustainable development. Urbanization in Africa is occurring at an unprecedented rate and it threatens the attainment of Sustainable Development Goals (SDGs). Urban sprawl has resulted in unsustainable urban development patterns from social, environmental, and economic perspectives. This study is among the first examples of research in Africa to combine remote sensing data with social media data to determine urban sprawl from 2011 to 2017 in Morogoro urban municipality, Tanzania. Random Forest (RF) method was applied to accomplish imagery classification and location-based social media (Twitter usage) data were obtained through a Twitter Application Programming Interface (API). Morogoro urban municipality was classified into built-up, vegetation, agriculture, and water land cover classes while the classification results were validated by the generation of 480 random points. Using the Kernel function, the study measured the location of Twitter users within a 1 km buffer from the center of the city. The results indicate that, expansion of the city (built-up land use), which is primarily driven by population expansion, has negative impacts on ecosystem services because pristine grasslands and forests which provide essential ecosystem services such as carbon sequestration and support for biodiversity have been replaced by built-up land cover. In addition, social media usage data suggest that there is the concentration of Twitter usage within the city center while Twitter usage declines away from the city center with significant spatial and numerical increase in Twitter usage in the study area. The outcome of the study suggests that the combination of remote sensing, social sensing, and population data were useful as a proxy/inference for interpreting urban sprawl and status of access to urban services and infrastructure in Morogoro, and Africa city where data for urban planning is often unavailable, inaccurate, or stale.