Run AI-Mapping in QGIS over high-resolution satellite imagery
Mapflow is a QGIS plugin that lets users extract real-world objects from satellite imagery.
Articles about how artificial intelligence is being used in advancing geospatial technologies.
Mapflow is a QGIS plugin that lets users extract real-world objects from satellite imagery.
Researchers are using AI to map schools in countries where many schools are undocumented so as to connect children with schools.
Old maps and images can now be converted to make them similar to our modern satellite-base views, giving stylized views a more realistic appearance.
The California Forest Observatory, created by Salo Sciences, has applied a new artificial intelligence tool that maps every tree in California.
Machines can learn ‘wrong’ or biased information, creating large problems and poor conclusions when it comes to spatial data.
There are both challenges and opportunities that Artificial Intelligence (AI) has in applying geospatial and GIS knowledge that also addresses issues of time and spatial bias.
The enormous amount of data from Earth-observing satellites is pushing researchers to use machine learning to mine the information and improve climate models.
Descartes Labs recently unveiled its GeoVisual Search application which uses machine learning to visually search satellite imagery for similar geographic features.
Machine learning or artificial techniques has been rapidly transforming many areas related to GIS and spatial applications
Google and researchers at the RheinischWestfälische Technische Hochschule Aachen University have developed an artificial intelligence system capable of identifying locations more consistently accurately than a human is able to do.
Facebook has used a combination of existing GIS data, high resolution imagery, and artificial intelligence to develop a detailed population map of the world.
Orbital Insights has developed a “deep learning” processes which uses artificial intelligence to pull data from satellite imagery.