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City/regional authorities are responsible to design and structure the urban morphology based on the desired land-use activities. Oneof the key concerns regarding urban planning is to establish certain development goals, such as Gross Domestic Product (GDP). InCanada, 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 reportedGDP in nine major cities in Canada. Free archive multi-temporal Landsat TM images and land use vector data were obtained for year2005 and 2010 during the summer season, where the socio-economic data, such as GDP, population, and total employment areobtained from Metropolitan Housing Outlook for the same duration. The Landsat TM images were first atmospherically correctedand the built-up values were computed using the Normalized Difference Built-up Index (NDBI) and Normalized DifferenceVegetation Index (NDVI) from the Landsat images. The high built-up values within the industrial areas were acquired for furtheranalysis. Finally, a correlation analysis was conducted between the GDP, Population, and Total Employment with respect to thebuilt-up areas. Preliminary findings show that the R2 between the percentage of built-up areas and industrial area within thecorresponding city is 0.82. In addition, the R2 between the built-up areas and GDP ranges from 0.73 to 0.78. Consistent findings areobserved 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 thefederal/municipals authorities, which are aiming or target for a specific GDP with respect to the planned industrial area

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

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