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Geoplanning
Vol 5, No. 1, 2018, 1-16 Journal of Geomatics and Planning E-ISSN: 2355-6544 http://ejournal.undip.ac.id/index.php/geoplanning doi: 10.14710/geoplanning.5.1.1-16
SPATIAL EXPLICIT MODELING TO UNDERSTAND THE DYNAMICS OF LANDUSE SWITCH USING OPEN SOURCE SATELLITE DATA
S. Kalluvetty
a, S. Bandopadhyay
ba Indian Institute of Remote Sensing (Indian Space Research Organisation), India
b Meteorology Department, Faculty of Environmental Engineering and Spatial Management, Poznan University of Life Sciences, Poland
Abstract: Restless global urbanization needs to monitor in order to design a stable and sustainable urban habitat. In this regard, remote sensing and GIS are considered as an efficient monitoring and decision-support tool in sustainable urban planning and practices. In this paper we accumulate the results of a research undertaken to measure the urban sprawl and land use dynamics of the Dehradun city, Uttarakhand using vast sixteen years data and spatially explicit cellular automata CA-Markov model.
Furthermore, future scenario of the city and land use was also examined. To achieve the desired goal, sixteen years large temporal images of Landsat were used to analyze the spatial decoration of land use change in the study area. The outcome of this study was clearly reviled that there was a substantial change was take place in the Dehradun city and its surroundings in last sixteen years. Modeling proposed a clear trend of various land use classes’ transformation in the area of urban built up expansions and urban encroachment whereas agricultural lands and forest covers are reduced at an alarming rate over the time. Dynamically increasing population of the city can be approximated by the predicted future scenarios. In order to promote a balance in between urban growth and environmental protection towards a sustainable urban habitat and environmental, local community involvement and capacity building program can be an efficient drive in this regard.
Copyright © 2018 GJGP-UNDIP This open access article is distributed under a Creative Commons Attribution (CC-BY-NC-SA) 4.0 International license.
Kalluvetty, S., & Bandopadhyay, S. (2018). Spatial explicit modeling to understand the dynamics of landuse switch using open source satellite data. Geoplanning: Journal of Geomatics and Planning, 5(1), 1-16. doi:10.14710/geoplanning.5.1.1-16
1. INTRODUCTION
Changing aspects of Landuse at the peri-urban areas is a complex and dynamic process that involves both natural and human systems (Xiao et al., 2006). Over recent decades the suburbs of the metropolitan area are designed by urban sprawl (Glaeser & Kahn, 2003). Urban sprawl is known as a multifarious concept that dealing with the expansion of auto-oriented, low-density development and has a considerable impact on the surrounding ecosystem (Yuan et al., 2005). It is characterized by the expansion of human population from a core urban area into previously rural and remote areas. The discussions about urban sprawl are often made partial by the view of metropolitan growth is inefficient and causes environmental degradation. But the other side of the issue says the beneficiaries of sprawl may be a silent majority who are not as politically active as center city boosters, environmentalists and the urban layman in voicing their views on the merits of the on- going decentralization of jobs and people taking place across cities.
In India, urban sprawl is in its zenith phase at the cost of farmland, forest, and other ecologically sensitive areas. Rapid urbanization in India is changing the dynamics between ecology, economy and the society (Bardhan et al., 2016). The exponential growth of urban population has clearly figured out by last few censuses results. The alarmingly diminishing forest coverage is upholding these findings. As like other states of India, cities of Uttarakhand is also experienced with population exploration evident by the census of India 2011 report illustrated in Figure 1.
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Article Info:
Received: 01 September 2017 in revised form: 10 Dec 2017 Accepted: 30 January 2018 Available Online: 30 April 2018 Keywords:
Land-use change, urban sprawl, CA-Markov, sustainable urban habitat, Dehradun City Corresponding Author:
Subhajit Bandopadhyay
Meteorology Department, Poznan University of Life Sciences Poznan; Poland
Email: [email protected]
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Geoplanning
Vol 5 No 1, 2018, 53-62 Journal of Geomatics and Planning E-ISSN: 2355-6544 http://ejournal.undip.ac.id/index.php/geoplanning doi: 10.14710/geoplanning.5.1.53-62
A GIS TOOLKIT FOR AUTOMATING DESCRIPTIVE STATISTIC COMPUTATIONS FOR AIR QUALITY MODELING
A. Georgiou
a, T. Kontos
ba Enalia Physis Environmental Research Center (ENALIA), Acropoleos 2, 2101 Aglanzia, Nicosia, Cyprus
b Department of Environment, University of the Aegean University Hill, Mytilene 81100, Greece
Abstract: A GIS toolset was developed to support spatial analysis functions, visualization and extraction of a variety of input variables for air quality assessment.
The developed toolset allows the automated processing of large amounts of ASCII data converting to points and raster data and the examination of the correlation among them. A case study was performed in Athens basin in Greece. Using the developed GIS toolset, topographic, climatic characteristics and air pollution conditions as well correlations were derived by processing the input data. In addition, thematic maps illustrating the spatial distribution of each parameter were extracted. The developed GIS toolset greatly reduced the time and effort needed to process the GIS data, and provided a useful tool for a wide variety of environmental applications. The tool uses ArcObjects as the programming language to incorporate equations for statistical analysis in a monthly and a yearly time step. This versatile programming language allows advanced users to incorporate more complex formulations for more accurate results as detailed data is acquired to develop routines for calibration when reference data exist. Results verified the usefulness and feasibility of the developed platform.
Copyright © 2016 GJGP-UNDIP This open access article is distributed under a Creative Commons Attribution (CC-BY-NC-SA) 4.0 International license.
Georgiou, A., & Kontos, T. (2018). A GIS Toolkit for Automating Descriptive Statistic Computations for Air Quality Modeling. Geoplanning: Journal of Geomatics and Planning, 5 (1), 53-62. doi:10.14710/geoplanning.5.1.53-62
1. INTRODUCTION
Air pollution is one of the most important environmental problems that effects megacities and urban areas from both developed and developing countries as well as entire countries and regions (Fameli &
Assimakopoulos, 2016; Henschel et al., 2015). It is directly related to the quality of life since the exposure to high levels of air pollutants is associated with a wide range of health effects. Emissions of air pollutants derive from almost all economic and societal activities (Guerreiro, Foltescu, & de Leeuw, 2014). The principal sources are vehicular traffic, industrial activity and fossil fuel combustion in general which introduce a mixture of chemical components into the atmosphere that poses a serious environmental threat in many cities (Elbir et al., 2010; Mavrakou, Philippopoulos, & Deligiorgi, 2012; Vienneau, de Hoogh,
& Briggs, 2009). The spatial and temporal distribution of urban air pollution caused by human activity is greatly influenced by meteorology, which defines the dispersion conditions within a specific region to a great extent.
Air pollution episodes in urban areas are found to be strongly connected with unfavourable meteorological conditions (Flocas et al., 2009; Kalabokas, Papayannis, Tsaknakis, & Ziomas, 2012; Mavrakou et al., 2012;
Sfetsos & Vlachogiannis, 2013) and especially over coastal urban areas (Kambezidis, Weidauer, Melas, &
Ulbricht, 1998; Klemm et al., 1998; Mavrakou et al., 2012). The spatial and temporal representativeness of an air quality monitoring station is a relevant issue to describe the complex pattern of atmospheric pollution over a specific area. It is also required to provide information on air pollution for environmental and health policy, but also to act as a basic for designing and stratifying any future monitoring networks (Beelen et al., 2009).
OPEN ACCESS
Article Info:
Received: 28 August 2017 in revised form: 10 January 2018 Accepted: 10 March 2018 Available Online: 30 April 2018 Keywords:
GIS, ArcObjects, Air Quality, Athens
Corresponding Author:
Georgiou Andreas Enalia Physis Environmental Research Centre, Acropoleos 2, 2101 Aglanzia, Nicosia, Cyprus Email:
Study of Potential Melayu Village as a Heritage Area in Semarang
Submission date: 25-Sep-2020 03:43PM (UTC+0700) Submission ID: 1396644816
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