Energy Resource Assessment

Project Summary

The team built a ground truth dataset comprising satellite images, building footprints, and building heights (LIDAR) of 40,000+ buildings, along with road annotations. This dataset can be used to train computer vision algorithms to determine a building’s volume from an image, and is significant contribution to the broader research community with applications in urban planning, civil emergency mitigation and human population estimation.

Themes and Categories
Energy & Environment
Data+
Year
2016

Project Results

Download the Executive Summary (PDF)

Faculty Sponsors

Project Managers

Participants

  • Benjamin Brigman, Columbia University Electrical and Computer Engineering
  • Sophia Park, Duke University Biomedical Engineering

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