Next Article in Journal
Photorealistic Building Reconstruction from Mobile Laser Scanning Data
Next Article in Special Issue
Remote Sensing-Based Characterization of Settlement Structures for Assessing Local Potential of District Heat
Previous Article in Journal
Transmittance of Airborne Laser Scanning Pulses for Boreal Forest Elevation Modeling
Previous Article in Special Issue
Toronto’s Urban Heat Island—Exploring the Relationship between Land Use and Surface Temperature
Article Menu

Article Versions

Export Article

Open AccessArticle
Remote Sens. 2011, 3(7), 1380-1405; doi:10.3390/rs3071380

Geospatial Technologies to Improve Urban Energy Efficiency

1
Foothills Facility for Remote Sensing and GIScience, Department of Geography, University of Calgary, 2500 University Drive N.W., Calgary, AB T2N 1N4, Canada
2
Information Technologies, University of Calgary, 2500 University Drive N.W., Calgary, AB T2N 1N4, Canada
3
Institute for Sustainable Energy, Environment, and Economy & Haskayne School of Business, University of Calgary, 2500 University Drive N.W., Calgary, AB T2N 1N4, Canada
4
Decision Research, 1201 Oak Street, Eugene, OR 97401, USA
*
Author to whom correspondence should be addressed.
Received: 1 May 2011 / Revised: 23 June 2011 / Accepted: 27 June 2011 / Published: 5 July 2011
(This article belongs to the Special Issue Urban Remote Sensing)
View Full-Text   |   Download PDF [1068 KB, 19 June 2014; original version 19 June 2014]   |  

Abstract

The HEAT (Home Energy Assessment Technologies) pilot project is a FREE Geoweb mapping service, designed to empower the urban energy efficiency movement by allowing residents to visualize the amount and location of waste heat leaving their homes and communities as easily as clicking on their house in Google Maps. HEAT incorporates Geospatial solutions for residential waste heat monitoring using Geographic Object-Based Image Analysis (GEOBIA) and Canadian built Thermal Airborne Broadband Imager technology (TABI-320) to provide users with timely, in-depth, easy to use, location-specific waste-heat information; as well as opportunities to save their money and reduce their green-house-gas emissions. We first report on the HEAT Phase I pilot project which evaluates 368 residences in the Brentwood community of Calgary, Alberta, Canada, and describe the development and implementation of interactive waste heat maps, energy use models, a Hot Spot tool able to view the 6+ hottest locations on each home and a new HEAT Score for inter-city waste heat comparisons. We then describe current challenges, lessons learned and new solutions as we begin Phase II and scale from 368 to 300,000+ homes with the newly developed TABI-1800. Specifically, we introduce a new object-based mosaicing strategy, an adaptation of Emissivity Modulation to correct for emissivity differences, a new Thermal Urban Road Normalization (TURN) technique to correct for scene-wide microclimatic variation. We also describe a new Carbon Score and opportunities to update city cadastral errors with automatically defined thermal house objects. View Full-Text
Keywords: urban energy efficiency; geospatial; TABI; GEOBIA; thermal imaging; waste heat; Geoweb; Google Maps; hot spots; TURN; emissivity modulation; HEAT Score urban energy efficiency; geospatial; TABI; GEOBIA; thermal imaging; waste heat; Geoweb; Google Maps; hot spots; TURN; emissivity modulation; HEAT Score
Figures

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Hay, G.J.; Kyle, C.; Hemachandran, B.; Chen, G.; Rahman, M.M.; Fung, T.S.; Arvai, J.L. Geospatial Technologies to Improve Urban Energy Efficiency. Remote Sens. 2011, 3, 1380-1405.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top