Supporting Urban Energy Efficiency With A Volunteered Geographic Information (VGI) System: A Calgary Case Study
TL;DRAbstract
The Heat Energy Assessment Technologies (HEAT) project uses high-resolution airborne thermal imagery, GIS cadastral data, and Geographic Object-Based Image Analysis (GEOBIA) to allow the citizens of Calgary, Alberta, Canada to visualize the amount and location of waste heat leaving their houses, communities, and the city. This information is presented to them in an interactive and multi-scale Geoweb application with three energy efficiency feedback solutions: (i) HEAT Scores, (ii) Hot Spots, and (iii) Estimated Savings – that help residents reduce their greenhouse gas emissions and save their money. To ensure the accuracy of these measures, the correct emissivity of roof materials needs to be known. However, roof material information is not readily available in the Canadian public domain. To overcome this challenge, a new and unique Volunteered Geographic Information (VGI) system was developed using Google Street View and Google Satellite data that engages citizens to classify the roof
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The Heat Energy Assessment Technologies (HEAT) project uses high-resolution airborne thermal imagery, GIS cadastral data, and Geographic Object-Based Image Analysis (GEOBIA) to allow the citizens of Calgary, Alberta, Canada to visualize the amount and location of waste heat leaving their houses, communities, and the city. This information is presented to them in an interactive and multi-scale Geoweb application with three energy efficiency feedback solutions: (i) HEAT Scores, (ii) Hot Spots, and (iii) Estimated Savings – that help residents reduce their greenhouse gas emissions and save their money. To ensure the accuracy of these measures, the correct emissivity of roof materials needs to be known. However, roof material information is not readily available in the Canadian public domain. To overcome this challenge, a new and unique Volunteered Geographic Information (VGI) system was developed using Google Street View and Google Satellite data that engages citizens to classify the roof
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