deep learning

Balancing the AI and Human Elements of Geospatial Applications

Balancing the AI and Human Elements of Geospatial Applications

Developers of solutions for geospatial applications have integrated elements of AI for decades. The latest, more powerful (and popularized) wave…

From flames to data

From Flames to Data: How deep learning can help in wildfire suppression?

We are driven by our survival tendency. And that compels us to know or be able to predict the future.…

Walkability and Deep learning

Walkability is about how friendly the neighbourhood is to walk. Walkability holds many advantages in terms of environment, health, and…

Building-height Estimation using Street-view Images, Deep Learning, and Building Footprints

Introduction Building height is an important piece of information that has various important applications such as economic analysis, urban planning,…

International Geospatial Briefing for November 2nd: Scottish Geospatial Network Integrator; Tracking Banana diseases using aerial imagery; Lidar data for faster building engineering and architecture; China’s 31st launch of 2020

New support to grow Scottish geospatial sector Although Scotland location-based sector is thriving, Scottish Enterprise’s research has revealed that further…

Your Global Geospatial Briefing for May 14th: Geospatial Foundations at GeoIgnite; GeoAI history; WorldView-4; Falcon 9; Elon Musk on LiDAR

Leverage tech for the public at GeoIgnite A new article on GeoIgnite 2019 in the Ottawa Business Journal highlights the…