Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 85-92, 2014
https://doi.org/10.5194/isprsarchives-XL-7-85-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
19 Sep 2014
The Use of Remote Sensing Technique to Predict Gross Domestic Product (GDP): An Analysis of Built-Up Index and GDP in Nine Major Cities in Canada
K. Faisal1,2 and A. Shaker1 1Department of Civil Engineering, Ryerson University, Toronto, Ontario, Canada
2Department of Geomatics, College of Environmental Design, King AbdulAziz University, Kingdom of Saudi Arabia
Keywords: Remote Sensing, Multi Temporal Images, Landsat Images, Built-up area, NDBI, NDVI, Land Use, GIS, Industrial Area, GDP Abstract. City/regional authorities are responsible to design and structure the urban morphology based on the desired land-use activities. One of the key concerns regarding urban planning is to establish certain development goals, such as Gross Domestic Product (GDP). In Canada, the gross national income mainly relies on mining and manufacturing industries. In order to facilitate new city development, this study aims to utilize remote sensing and GIS techniques to assess the relationship between the industrial area and the reported GDP in nine major cities in Canada. Free archive multi-temporal Landsat TM images and land use vector data were obtained for year 2005 and 2010 during the summer season, where the socio-economic data, such as GDP, population, and total employment are obtained from Metropolitan Housing Outlook for the same duration. The Landsat TM images were first atmospherically corrected and the built-up values were computed using the Normalized Difference Built-up Index (NDBI) and Normalized Difference Vegetation Index (NDVI) from the Landsat images. The high built-up values within the industrial areas were acquired for further analysis. Finally, a correlation analysis was conducted between the GDP, Population, and Total Employment with respect to the built-up areas. Preliminary findings show that the R2 between the percentage of built-up areas and industrial area within the corresponding city is 0.82. In addition, the R2 between the built-up areas and GDP ranges from 0.73 to 0.78. Consistent findings are observed in the similar correlation between the built-up areas and population, as well as the built-up areas and the employment, where the R2 is within 0.72 to 0.73. With the correlation found, we believe that results can be used as a generic indication for the federal/municipals authorities, which are aiming or target for a specific GDP with respect to the planned industrial area.
Conference paper (PDF, 842 KB)


Citation: Faisal, K. and Shaker, A.: The Use of Remote Sensing Technique to Predict Gross Domestic Product (GDP): An Analysis of Built-Up Index and GDP in Nine Major Cities in Canada, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7, 85-92, https://doi.org/10.5194/isprsarchives-XL-7-85-2014, 2014.

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