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.
machine learning
Spatial Analysis
The Role of GIS in Predicting Road Conditions
Recent developments in GIS and analytical applications have demonstrated that predicting road conditions, and thus preventing traffic accidents and possibly even traffic in the first place, is possible.
Spatial Analysis
Transforming Satellite Imagery Classification with Deep Learning
Deep learning has a potential to transform image classification and its use for the spatial sciences, including GIS.
GIS Industry
Will 2017 be Remembered as a Stellar Time for Earth Observation?
Joe Francica, Managing Director Location Intelligence Solutions with Pitney Bowes discusses the growth and direction of Earth Observation satellites.
GIS Industry
GIS and Machine Learning for Habitat Protection
With gains in computational power and accessibility to off the shelf models, often used in commercial or open source software, applying machine learning techniques with GIS has become far easier for conservation and habitat specialists.
Spatial Analysis
Researchers are Using Machine Learning to Better Predict Weather Patterns
The enormous amount of data from Earth-observing satellites is pushing researchers to use machine learning to mine the information and improve climate models.
Spatial Analysis
Using Visual Search to Find Geographically Similar Features on Satellite Imagery
Descartes Labs recently unveiled its GeoVisual Search application which uses machine learning to visually search satellite imagery for similar geographic features.
Spatial Analysis
Using Machine Learning and Satellite Imagery to Estimate Corn Crop Production
Descartes Lab, a start-up organization, has created crop production analysis that uses millions of satellite images and machine learning to produce accurate data about the production of agricultural crops.
Spatial Analysis
GIS and Innovations in Machine Learning
Machine learning or artificial techniques has been rapidly transforming many areas related to GIS and spatial applications
Spatial Analysis
Using Machine Learning to Map Poverty from Satellite Imagery
Satellite images are now being used to map poverty levels around the world using machine learning used to analyze specific poverty data using a convolutional neural network.