There is no easy solution for earthquake prediction, but machine learning in particular has made forecasting far better.
machine learning
GIS Industry
Optimizing Traffic with Autonomous Vehicles and Machine Learning
One way to improve traffic is to integrate technologies within autonomous cars, particularly as they are forecast to be soon on our streets, including sensors for driving, and information from different external sources.
Maps and Cartography
When AI Goes Wrong in Spatial Reasoning
Machines can learn ‘wrong’ or biased information, creating large problems and poor conclusions when it comes to spatial data.
GIS Data
Mapping Tree Species in Amazonia Using Satellite Imagery and Machine Learning
Researchers at the University of Turku have a developed a method of modeling tree species distribution in Peruvian lowland Amazonia using satellite imagery and machine learning techniques in order to produce higher resolution habitat suitability maps.
GIS Data
Detecting Storm Intensity from Satellite Imagery Using Machine Learning
The Deep Learning-based Hurricane Intensity Estimator is an experimental portal that uses machine learning techniques to analyze spatial patterns in infrared satellite imagery in order to predict tropical cyclone intensity.
Spatial Analysis
Startups and the Future of Spatial Analysis
A growing number of startups are developing new approaches to advanced spatial analysis for everyday solutions across many fields and industries.
Spatial Analysis
Forecasting Fire: Earth Observation and GIS
New techniques in GIS, remote sensing, and machine learning are incorporating land-based data along with temperature, precipitation and other weather factors in developing more accurate fire prediction models.
GIS Data
Creating Ground-level Views from Satellite Imagery
Recreating a ground-level image and perspective using satellite imagery has only recently been developed.
GIS Industry
Future of Mobile Spatial Applications and Image Recognition
Image recognition software and algorithm development is likely to be increasingly applied with spatial applications.
GIS Data
Using Machine Learning to Speed Up Electrical Grid Mapping
Development Seed, working for the World Bank Group, created a methodology for integrating machine learning with manual mapping in order to speed up the mapping of high-voltage (HV) grids in developing countries.