Prediction of Population in Urban Areas by Using High Resolution Satellite Images

2009-06-13
ERENER, ARZU
Düzgün, Hafize Şebnem
Up to date population of an urban area is vital for any planning decision for the urban area as well as intelligence by using open source information. The conventional method of collecting data for population mainly relies on census which is time consuming and costly. A rule of thumb for estimating the census cost in developing countries is given to be $1 USD per enumerated person, which requires allocating more resources for collecting population data for dense urban areas. Although the population data collected by census is more precise and accurate, due to long time intervals between censuses, it becomes outdated a few years after the census. Hence use of remote sensing for urban environments has potential for predicting urban population with low cost and up to date data. Recently, the availability of high spatial resolution satellite imagery provides development of methodologies for accurate and up to date population predictions for urban environments.
4th International Conference on Recent Advances in Space Technologies

Suggestions

Aiming for smart wind energy: A comparison analysis between wind speed forecasting techniques
Alhaddad, Mohamad; Ever, Enver; Fahrioglu, Mura; Al-Turjman, Fadi (2019-09-13)
Smart cities are one of the promising application areas where the energy management (supply/dispatch) issues have the potential to positively affect the society. In the common era of information and technology, the consumers expect the required amount of energy to be present at anytime. This energy is obtained through renewable and nonrenewable resources. Smart wind energy is the idea of efficient energy generation utilizing the wind while satisfying green expectations. However, the random characteristics c...
Kentsel Mekânda Değişimin Yönetilmesi
Ünlü, Tolga (Middle East Technical University, Faculty of Architecture, 2006)
In the Turkish planning system, Urban Development Plan (İmar Planı) represents a “development framework”, which assumes the role of a Master Plan, prepared by specialist planners to control all land use decisions, densities and circulation of a city for a target year. It concentrates on the picture of an anticipated future as an end-state. It does not, however, deal with the process between the present and that anticipated future. Consequently, the process of achieving the future is not a matter of concern ...
Critical evaluation of smart mobility policies of Konya metropolitan municipality
Nalçakar, Zeyneb Zuhal; Balaban, Osman; Department of Urban Policy Planning and Local Governments (2019)
As population in urban areas increases and problems arise as a consequence, many cities turn to smart city transformation. Some scholars argue that smart cities can provide strong solutions to urban problems. Smart city discourse mainly touches upon six major concepts which cities are required to apply to become a smart city: Smart economy, smart people, smart governance, smart environment, smart living and finally smart mobility based on ICT. The most common issues based upon increasing population is trans...
Türkiye’de Kentsel Dönüşüme Yöntemsel Bir Yaklaşım
Ataöv, Anlı; Osmay, Sevin (Middle East Technical University, Faculty of Architecture, 2007-6-01)
Urban regeneration implementations in Turkish metropolitan cities should be dealt within the interested contextual reality. Existing singular and unintegrated implementations remain inadequate in explaining the transformation phenomenon and in generating compatible solutions. In Turkey, urban transformation has emerged as a result of national economic policies and demographic movements. The response has been restricted to physical interventions to urban space. Squatter settlements appeared as the first exam...
Application of Sleuth model in Antalya
Şevik, Özlem; Akyürek, Sevda Zuhal; Department of Geodetic and Geographical Information Technologies (2006)
In this study, an urban growth model is used to simulate the urban growth in 2025 in the Antalya Metropolitan Area. It is the fastest growing metropolis in Turkey with a population growth of 41,79‰, although Turkey’s growth is 18,28‰ for the last decade. An Urban Growth Model (SLEUTH, Version 3.0) is calibrated with cartographic data. The prediction is based on the archived data trends of the years of the 1987, 1996, and 2002 images, which are extracted from Landsat Thematic Mapper and Enhanced Thematic Map...
Citation Formats
A. ERENER and H. Ş. Düzgün, “Prediction of Population in Urban Areas by Using High Resolution Satellite Images,” presented at the 4th International Conference on Recent Advances in Space Technologies, Istanbul, Turkey, 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/54917.