Technology Tracks

The 4th Industrial Revolution is associated with Cloud, Big Data, Internet of Things, Artificial Intelligence, and Analytics. These technologies are at varying degrees of maturity; some have been around for years but are finally hitting their stride, while others are maturing rapidly. One thing for sure, these technologies are closely associated with geospatial – either they directly benefit from location data or technologies, or directly empower geospatial business. In some cases, these technologies converge with geospatial to deliver solutions and have long-lasting impacts. Technology tracks at Geospatial World Forum 2019 will cover innovation and application of these technologies, and their future prospects in our industry.


IoT & Blockchain

Josef Strobl, Head, Department of Geoinformatics, Salzburg University, Austria
Josef Strobl Head, Department of Geoinformatics
Salzburg University
Jurgen MoBgraber, Head of Research Group, Architecture and Information Systems, Fraunhofer IOSB, Germany
Jurgen MoBgraber Head of Research Group, Architecture and Information Systems
Fraunhofer IOSB
Pavel Yalovol, VP Digital and Geo Solutions, Intetics, Ukraine
Pavel Yalovol VP Digital and Geo Solutions
Ron Lake, Technology Evangelist, Galdos Systems, Canada
Ron Lake Technology Evangelist
Galdos Systems
Andy Wilson, Region Director-UK and Europe, Ordnance Survey, United Kingdom
Andy Wilson Region Director-UK and Europe
Ordnance Survey
United Kingdom

Artificial Intelligence

Peter Rose, Europe Director, Orbica, Germany
Peter Rose Europe Director
Rajesh Alla, Chairman & Managing Director, IIC Technologies, India
Rajesh Alla Chairman & Managing Director
IIC Technologies
Henk Scholten, Chief Executive Officer, Geodan, The Netherlands
Henk Scholten Chief Executive Officer
The Netherlands
Richa Hukumchand, Head, Research & Innovation, CropIn Technologies Solutions, India
Richa Hukumchand Head, Research & Innovation
CropIn Technologies Solutions
Prof Dr Dieter Fritsch, Research Professor and Professor Emeritus, University of Stuttgart, Germany
Prof Dr Dieter Fritsch Research Professor and Professor Emeritus
University of Stuttgart

Big Data

Leah Moss, Commercialisation Lead, Data61/CSIRO, Australia
Leah Moss Commercialisation Lead
Evelyn Aparicio  Medrano, Advisor, Nelen & Schuurmans, The Netherlands
Evelyn Aparicio Medrano Advisor
Nelen & Schuurmans
The Netherlands
Hongmian Gong, Professor, Hunter College of City University of New York, USA
Hongmian Gong Professor
Hunter College of City University of New York
Wassilios Kazakos, Head of Business Development, Disy Informationssysteme GmbH, Germany
Wassilios Kazakos Head of Business Development
Disy Informationssysteme GmbH

LiDAR Point Cloud

Katerina Mekhlis, Chief Executive Officer, NeoCityLab, The Netherlands
Katerina Mekhlis Chief Executive Officer
The Netherlands
Prashant S. Alatgi, Designated Partner, Prashant Advanced Survey, India
Prashant S. Alatgi Designated Partner
Prashant Advanced Survey
Peter Rieger, Manager ALS Business Division, RIEGL Laser Measurement Systems GmbH, Austria
Peter Rieger Manager ALS Business Division
RIEGL Laser Measurement Systems GmbH


Artificial Intelligence

The biggest opportunity for geospatial industry in AI is its core asset, which is geospatial data. It is widely acknowledged that 80% of all data that is generated are spatial in nature. So exploiting that data using automation through AI and deep learning comes naturally to creating solutions for rest of the basic sectors. AI is a great tool when it comes to imagery analysis. With the world flooded with data from satellites and a myriad of sensors, AI-driven applications can provide previously inaccessible insights on global-scale economic, social and industrial processes. AI and geospatial intelligence can converge to deliver solutions for improving precision farming, disease prediction, and predictive policing. For the businesses, they can help in planning, predicting demand spikes, identifying high-margin prospects, adding efficiency to the supply chain, and optimizing service delivery.


The volume, variety and velocity of geospatial data is continually expanding. Storage, analysis and serving the information within an organization is becoming a challenge. The cloud’s increasing ability to store and distribute data has made it possible for organizations to better utilize their geospatial data, and for businesses to create products which describe our changing world in close to real-time. On top of this, cloud has made it significantly easier for geospatial data to be moved around, accessed from multiple places, pushed into manipulation pipelines and visualized at scale.

Big Data

IBM has reported that about 2.5 Quintillion bytes of data is generated every day and a huge chunk of this data is ‘location-tagged’. As more and more people go mobile, more ‘location-tagged’ data will be flowing into geospatial big data systems. On top of this, there are more and more satellite-based and sensed data becoming available. The key will be how to link geospatial data with other data and create application that can contribute to socio-economic growth.

IoT & Blockchain

Internet of Things is the inter-networking of physical devices, vehicles, buildings, and other items — embedded with electronics, software, sensors, actuators, and network connectivity that enable them to collect and exchange data. When integrated with geospatial technologies, the end products are transforming the way people work, move, live and play. Geocaching, fitness apps and Pokémon Go are a few popular examples of geospatial-IoT integrated products. Businesses use GIS and IoT technologies to combine a device’s location with its status and other important information. The IoT device can be placed on a valve, a switch, or any other asset, and those assets can be displayed on a map that provides context at macro levels as well as enabling users to extract high levels of detail. The approach delivers key inputs to support informed decisions and efficient business processes.


Blockchain is a continuously growing list of records, called blocks, which are linked and secured using cryptography. The Chain in Blockchain is the chain of transactions in the form of ledger entries about assets which could be money, imagery, data, maps, documents, etc. However, what actually is transacted in reality are tokens containing the metadata of the assets with the actual physical transfer happens separately. One area where Blockchain will find major use along with geospatial technologies is the Internet of Things. Today, IoT conjures up a mental image of a complex network of humans and objects all passing data to each other. For example, could an autonomous delivery van, which depends on sensors be hijacked and driven to a wrong location? Consider the data carrying the instructions as transactions. If the network is on a Blockchain, then the process of consensus would help validate the transactions and weed out the wrong instructions because the illegal transactions would be trapped. Other domains where Blockchain could play a role in geospatial terms are land transactions and data repositories.