Handbook of Geospatial Artificial Intelligence

17GeoAI for Urban Sensing

Filip Biljecki

National University of Singapore

DOI: 10.1201/9781003308423-17

CONTENTS

• 17.1 Introduction

• 17.2 Recent Examples of GeoAI for Urban Sensing – Case Studies in Singapore

  1. 17.2.1 Sensing rooftops from high-resolution satellite images

  2. 17.2.2 Sensing urban soundscapes from street-level imagery

  3. 17.2.3 Sensing and understanding human comfort using smartwatches and other sensors

  4. 17.2.4 Sensing the perception and quality of underinvestigated urban spaces

• 17.3 Challenges and Opportunities

• 17.4 Conclusion

  1. Bibliography

17.1 INTRODUCTION

Urban sensing can be defined as a collection of methods and techniques to sense and obtain information about the built environment and human activities in cities (Shi, 2021 ...