“A GEOINFORMATIC APPROACH TO STUDY URBAN …/media/esri-india/files/pdfs/...“a geoinformatic...
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“A GEOINFORMATIC APPROACH TO STUDY
URBAN AGGLOMERATION OF BHUBANESWAR
CITY (ODISHA)”
Ankit Gupta
SRF – NICRA (MoA)
ICAR – IISWC, Research Centre,
Vasad-388306, Dist. Anand (Gujarat), India
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Overview
“A GEOINFORMATIC APPROACH TO STUDY URBAN AGGLOMERATION OF BHUBANESWAR CITY (ODISHA)”
• Rapid development along with demographic change is the most direct influencing factors on urbanization and urban change, that makes city planning an important concern to modern India.
• Integration of Geographical Information System and Remote Sensing acts as an effective tool for estimating urban growth and modeling in the recent years.
• The objective is to identify and analyse the Urban Agglomeration of Bhubaneswar, the capital of Odisha state of India
• Remote sensing data, along with increased resolution from satellite platforms, makes an impact on urban growth trend analysis which involves many different methods including index based models.
• Index-based Built-up Index (IBI) is proposed for the rapid extraction of built-up land features in satellite imagery.
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Methodology
• This study concentrates mainly upon the Index based model, Index-based Built-up Index (IBI).
• It is derived from three different indices viz.,
• Soil Adjusted Vegetation Index (SAVI)
• Modified Normalized Difference Water Index (MNDWI)
• Normalized Difference Built-up Index (NDBI)
• Multispectral satellite imagery of Landsat 7 (ETM+), IRS-P6 (LISS III) & Landsat 8 (OLI) for 1999, 2009 & 2014, respectively has been used.
• Feature extraction has been done by using raster calculator or model builder of ArcGIS 10.1 (ESRI).
“A GEOINFORMATIC APPROACH TO STUDY URBAN AGGLOMERATION OF BHUBANESWAR CITY (ODISHA)”
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Results
“A GEOINFORMATIC APPROACH TO STUDY URBAN AGGLOMERATION OF BHUBANESWAR CITY (ODISHA)”
• It has been found that pure urban built-up land has increased in the time series of 1999, 2009 and 2014.
• All the indices viz., SAVI, MNDWI & NDBI results in the extraction of vegetation, water and built-up landform from the study area.
• Somewhat limited in built-up feature extraction as NDBI allow to extract little soil and barren land in it due to same reflectance as of built-up.
• This limitation is overcome by Index-based Built-up index which shows pure dense and sparse built-up feature.
• Index-based Built-up Index enhanced the built-up land feature with a light grey to white tone, while vegetation and water are considerably suppressed as background noise with a dark-grey to black shade.
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Results ….continued
“A GEOINFORMATIC APPROACH TO STUDY URBAN AGGLOMERATION OF BHUBANESWAR CITY (ODISHA)”
• To extract the urban built-up land features from the IBI output, a threshold value for 1999, 2009 and 2014 has been manually determined from the IBI outputs.
• Built-up land (after masking) is characterized into three colours viz., Green, Orange and Purple. Built-up portion is not even 50% of the total area as of now but it will increase soon .
S. No. Month-Year Satellite Sensor Resolution
(m)
Area (Sq.
Km.) Total %
1 Oct – 1999 Landsat 7 ETM+ 15 64.34 27.92
2 Oct – 2009 IRS-P6 LISS III 23.5 91.36 39.65
3 Oct – 2014 Landsat 8 OLI 15 107.29 46.57
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Conclusion
“A GEOINFORMATIC APPROACH TO STUDY URBAN AGGLOMERATION OF BHUBANESWAR CITY (ODISHA)”
• The values of Index-based Built-up Index shows that Bhubaneswar city is experiencing
Suburbanization & Exurbanization between 1999, 2009 and 2014 & are now
expanding towards the municipal boundaries.
• We can also conclude that freely available geo-spatial data and ArcGIS software can be
used in extraction of various land features with the help of Index based models and for analyzing the urban growth, trend, sprawl, agglomeration & conurbation.
• Index-based Built-up Index is a very useful model for evaluating urban area and
productivity of different land features. The model indicates that mixed trend of urbanization is analysed from study area.
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Discussion/ Q&A