machine learning

GIS Data

Mapping Tree Species in Amazonia Using Satellite Imagery and Machine Learning

September 19, 2018By Caitlin DempseyGIS Data

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.

Detecting Storm Intensity from Satellite Imagery Using Machine Learning

September 11, 2018By Caitlin DempseyGIS Data

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.

Startups and the Future of Spatial Analysis

September 3, 2018By Mark AltaweelSpatial Analysis

A growing number of startups are developing new approaches to advanced spatial analysis for everyday solutions across many fields and industries.

Forecasting Fire: Earth Observation and GIS

July 22, 2018By Mark AltaweelSpatial Analysis

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.

Creating Ground-level Views from Satellite Imagery

July 20, 2018By Mark AltaweelGIS Data

Recreating a ground-level image and perspective using satellite imagery has only recently been developed.

Future of Mobile Spatial Applications and Image Recognition

June 29, 2018By Mark AltaweelGIS Industry

Image recognition software and algorithm development is likely to be increasingly applied with spatial applications.

Using Machine Learning to Speed Up Electrical Grid Mapping

April 22, 2018By Caitlin DempseyGIS Data

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.

The Role of GIS in Predicting Road Conditions

February 28, 2018By Mark AltaweelSpatial Analysis

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.

Image from Wang et al., 2015

Transforming Satellite Imagery Classification with Deep Learning

February 14, 2018By Mark AltaweelSpatial Analysis

Deep learning has a potential to transform image classification and its use for the spatial sciences, including GIS.

Will 2017 be Remembered as a Stellar Time for Earth Observation?

November 8, 2017By Pitney BowesGIS Industry

Joe Francica, Managing Director Location Intelligence Solutions with Pitney Bowes discusses the growth and direction of Earth Observation satellites.

Using Satellite Imagery to Track Volcanic Ash Clouds

Researchers have developed an algorithm that can distinguish between volcanic and non-volcanic clouds using high-resolution satellite imagery.

Using Machine Learning and Satellite Imagery for Street Address Generation

Researchers from Facebook and MIT Labs have proposed a new methodology that uses machine learning and satellite imagery to generate street addresses in areas of the world where individual buildings don’t have a unique address.

Elements of a Map

Maps are the primary tools by which spatial relationships are visualized. Maps therefore become important documents. There are several key elements that should be included each time a map is created in order to aid the viewer in understanding the communications of that map and to document the source of […]

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