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Hans Nouwens

Smart Cities

7 cases of visualising sensor data on maps

Each year, thousands of lives are lost due to poor air quality. What are the actions taken by municipalities to tackle this problem, and what is the role of citizens? Find out how this environment problem is being solved. Connected Worlds measures air-quality and noise-levels through sensors strategically placed. The information is visualised in real-time using intelligent interactive dashboards (based on Smart M.App® technology). In this session you will make a journey from the daily hustle in cities caused by traffic and construction, to environment management. The results captured in a smart app will showcase shocking results.

Hans Nouwens

Program Director at National Smart City Living Lab & Affiliated with Connected Worlds
LinkedIn | Twitter

Jasper Arends

Voorspellende Data Smart Cities

An Insight to the Energy Transition Dashboard

Local governments in the Netherlands are faced with the challenge of transitioning energy to green and sustainable resources. This has resulted in creation of policies and implementation of multiple programmes and projects for the coming years. Transition from ‘grey’ to ‘green’ energy sources and a decentralised energy supply chain is rife with challenges, ranging from financial and spatial to technical. Despite these challenges, sustainable energy will be used across the country.

The scope and impact of this cause is large and difficult to gage. NedGraphics has developed an interactive Energy Transition Dashboard together with Antea Group and IMAGEM. This dashboard helps fuses location-intelligence with multi-source data to enable predictive analysis. For example, one could calculate optimum location for placing renewable energy sources.

This powerful visualisation tool helps achieve the ‘energy neutral ’objective by showcasing the impact of policies, measures and budgets, all on an interactive and dynamic map. By effectively using this dashboard (based on Smart M.App technology®), policy makers and managers can gain insight into the spatial consequences of proposed measures.

Jasper Arends

Account Manager, Space and Environment, NedGraphics
LinkedIn

Gerard Overkamp

Innoveren zonder Programmeren Machine Learning Voorspellende Data Smart Cities

How to be predictive with Location-Intelligence at a micro-level | KEYNOTE

As humans, we tend to want to ‘know the future’. Unfortunately, we cannot really ‘know’ exactly what the future holds for us. So, we must resort to being ‘predictive’. Municipalities, regions and provinces need to be predictive in nature, for example, to know the requirements of future population growth in terms of housing and industrial estates. The challenge here is make accurate predictions that can be used by policy- and decision-makers for timely and data-driven decisions.

While traditionally the national models play a major role in making predictions, an alternate solution is rapidly emerging – being predictive at a micro-level by using location-intelligence. In this keynote, I will showcase the difference between the two methods, and their consequences. As a use-case, the need for business-parks will be discussed used both methods.

Gerard Overkamp

Policy advisor for Planning and Spatial Planning at Municipality Winterswijk
LinkedIn

Han Wammes

Innoveren zonder Programmeren Machine Learning Voorspellende Data Smart Cities

Together towards a shared digital economy | KEYNOTE

Municipalities want to work together with other governments to tackle the challenges related to the digital services of the government. This movement of Organizing Together has led to a number of principles where the information providers must suffice in order to continue to be able to respond to the many changes that municipalities are confronted with. Using a digital transformation to jointly do what is generic; to create the Common Ground. Especially in the geographic domain we see many of these changes coming together. Consider the Environmental Act, the Kenility Act (WKPB) and Object Registrations. We want to tackle this challenge together with the market.

Han Wammes

Advisor at VNG Realisatie

LinkedIn | Twitter

Wouter Brokx

President at IMAGEM
LinkedIn | Twitter

 

Michiel Boelhouwer

Voorspellende Data Smart Cities

AERIAL IMAGERY IS FULL OF VALUABLE INFORMATION

Aerial photographs are not just beautiful to look at. Aerial material is full of data with which municipal processes can be optimized. Think, for example, of keeping the BGT and the BAG updated, but it also provides valuable information for the WOZ, urban development and the environment. The municipality of Rotterdam, together with IMAGEM, has analysed a test area to determine which added value aerial photography-data can offer within the municipal processes.

During this session, Municipality of Rotterdam will tell you how they are approaching this project, what they have learned and what conclusions you can draw from this.

Michiel Boelhouwer

Advisor Geo-information Municipality Rotterdam
LinkedIn

Patrick de Groot & Niels van de Graaf

Innoveren zonder Programmeren Machine Learning Voorspellende Data Smart Cities

Make Geospatial Matter

Currents trends, developments and innovation in geospatial-intelligence

The technology trends for 2018 – according to Gartner – revolve around the concepts of ‘intelligent digital mesh’. They cover the fields of artificial intelligence (that includes machine learning), intelligent apps and analytics, digital twins and event-driven environments. At IMAGEM, we have been working on many of these concepts with our customers and partners.

In this session, we will share what these trends mean in the geospatial or location context, and how you can reap benefits from them starting now. We will also look at the future of geospatial technology in the following innovation session. The aim is to show you that the future of innovative technology is much closer than you may think.

Patrick de Groot 

Business Development & Sales Operations Manager at IMAGEM
LinkedIn | Twitter

Niels van de Graaf

Marktmanager - Overheid at IMAGEM

LinkedIn | Twitter

Emil Otte

Voorspellende Data Smart Cities

Insight in the world of mobile phone data and municipal real estate

It is intriguing to visualise the patterns of visitors to a part of the city. The municipality of Almere uses anonymous data from Vodafone to gain insight into the visitors to the city centrum. For example, the mode of transport – whether the visitors arrive by rail or road. Interlacing the location and statistics to derive insight and intelligence is done by experiments with a dashboard ‘the face of the visitor’ that’s based on Smart M.App® technology.

Additionally, the municipality has also created an app ‘the face of real estate’ to facilitate decision making on a tactical and strategic level. The 342 real-estate properties are managed by the municipality. While a lot of information about these building is available, it is not always insightful. What is the condition and appearance of a building? Does the property generate income, if so at what costs? Who is the responsible account manager for the property? These questions can now be answered with the dynamic dashboard that combines geospatial data with other forms of multi-source data, providing a unified source of truth for the municipality in a strong visual tool.

Emil Otte from Almere municipality will share – with great pleasure and enthusiasm – what has already been achieved by his team!

Emil Otte

Geo-economist at team Geo-data from Municipality of Almere
LinkedIn | Twitter

Annelies van Alphen

Voorspellende Data Smart Cities

How M.App Enterprise can impact Smart Cities

Using innovative location-intelligent solutions can make life much simpler. However, exploiting the full potential of geospatial technology can be challenging.

Enterprise solutions such as M.App Enterprise are game-changers in the location-intelligence domain and beyond. Within organisations, M.App Enterprise can manage multiple and varied workflows targeted at a diverse audience - managers, field works, and GIS specialised alike.

An example of a diverse environment with multiple stakeholders is the ‘Smart City’. In these scenarios, government must not only process but also aptly communication complex information in a relatable manner within departments as well as to its citizens. In this presentation, we will discuss multiple scenarios of how M.App Enterprise can be used to create solutions for the government, including a research on green-index.

Annelies van Alphen

Senior Consultant at Geo Solutions
LinkedIn

Rombout Verwimp

Managing Partner at Geo Solutions

LinkedIn

Wim Bozelie

Innoveren zonder Programmeren Machine Learning Voorspellende Data Smart Cities

HEXGEONEXT

At last’s year’s HexGeoNext session, we introduced the concepts of Machine Learning and Deep learning in location-intelligence technology. In this year’s session, we will show you that these concepts work! Using research carried out by IMAGEM to classify roof types, the results will be presented along with what we have learned along the way. In the meanwhile, Hexagon Geospatial has expanded their portfolio of technologies through acquisitions. What this means for you, and the technology roadmap for the next two years will also be discussed. Be sure to attend this plenary session which has become a tradition of sorts.

Wim Bozelie

Technology Director at IMAGEM
LinkedIn

 

Wim Bozelie

Innoveren zonder Programmeren Machine Learning Voorspellende Data Smart Cities

Innovate without Programming

Are you interested in the Spatial Modeler? Then this session is definitely for you. At this session, we will demonstrate the innovations IMAGEM has developed for their customers. We will look at challenging problems and how we have solved them using the Spatial Modeler – all without having to program! Technology is becoming more and more user friendly, and we will show you how to achieve your goals without being an out-and-out tech wizard.

Wim Bozelie

Technology Director at IMAGEM
LinkedIn

 

Wim Bozelie

Innoveren zonder Programmeren Machine Learning Voorspellende Data Smart Cities

What's new in Location-Intelligence technology

We’re back with our annual session on what’s new in Hexagon Geospatial technology. Join this session to learn about all the new features and improvements. This double-session will focus on the most exciting updates – speed, interoperability, raster, vector, and server functionalities. If you already do use, or plan to use ERDAS IMAGINE®, GeoMedia®, ImageStation, APOLLO®, M.App Enterprise®, GeoCompressor, and Mobile Alert in your daily work, then this session is for you.

Wim Bozelie

Technology Director at IMAGEM
LinkedIn

 

Arjan van Etten

Innoveren zonder Programmeren Machine Learning Voorspellende Data Smart Cities

CSI Capelle: Tackle the safety of citizens with location data

With data, safety of citizens can be easily tackled by municipalities. But how can you do that? What results will you get? Can we actually do that? Aren’t the police supposed to take care of it? Or is safety everyone’s responsibility to some extent?

At the municipality of Capelle aan den IJssel, we have asked ourselves these questions over and over. We would like to know how our city works using intelligence gathered from data. We are equipped to see what our city looks like on maps, but also do virtual-walk throughs in 3D environments, almost like being inside a game.

But there is so much more that we must know to protect our citizens. How many people live there; do they have jobs; can they avail benefits; what is the general education level; what the average disposable income; how many cars are there per person; how much energy is consumed; what facilities do we have? The list is endless, but it is also important for us to monitor incidents such as social events (concerts, neighbourhood barbeques), disasters (fire, flooding), and crime (burglary, vandalism) and so on.

All this data we gather is connected to our interactive city maps – the CSI dashboard (Crime Scene Investigation). Adding real-time and multi-source data to our maps provides us with insights never imagined before. Along the way, we encounter technical, organisational and ethical dilemmas. The latter two have the biggest impact in my opinion. I would like to tell you more about this and would also like to know our opinion. I look forward to seeing you in Utrecht on 04 October for an interactive session.

Arjan van Etten

Advisor Geo-Information at Municipality Capelle aan den Ijssel
LinkedIn | Twitter

 

Patrick de Groot

Innoveren zonder Programmeren Machine Learning Voorspellende Data Smart Cities

Rijkswaterstaat Measures Deformation with Satellite Data

Deformation of structures such as bridges and viaducts can have catastrophic results if not checked on time. Rijkswaterstaat monitors approximately 1200 structures in the Netherlands to prevent such situations. However, this process is cost- and labour-intensive. In collaboration with IMAGEM, Rijkswaterstaat tested out measuring deformation using radar satellite images. These images are received weekly with new measurement data reported to the accuracy of millimetres.

With the solution from IMAGEM, without having to be on-site, the team at Rijkswaterstaat is able to measure any changes or deformation of these structures. In addition, an active online alarm system ensures that the new measurements immediately reveal the areas that have high subsidence, thereby enabling risk-management. IMAGEM was able to provide this solution based on Rheticus® technology. In this session, we will showcase what an effective deformation monitoring system means for Rijkswaterstaat.

Patrick de Groot 

Business Development & Sales Operations Manager at IMAGEM
LinkedIn | Twitter

Egbert Jongsma

Innoveren zonder Programmeren Machine Learning Voorspellende Data Smart Cities

Location-intelligence enables transparency and accountability of public funds

What are the issues faced by Dutch citizens and residents? Where should the government invest to solve these problems? What are the results of these investments, and what are the lessons we learn? Where are can inhabitants find information about the public funds being used effectively to improve their liveability? These crucial questions form the core of good governance. All these questions have the basic component of ‘where’ or location. The Dutch audit court (Algemene Rekenkamer) are increasingly aware of the importance of location-intelligence to monitor policy implementation. If you want to know just about how to incorporate location-intelligence technology, join me in this session.

Egbert Jongsma

Projectleader (GIS) research at Court of Audit
LinkedIn | Twitter

Jeroen Waanders

Innoveren zonder Programmeren Machine Learning Voorspellende Data Smart Cities

Automated monitoring of waterways and the influence of Artificial Intelligence for water boards

How can you get real-time and accurate updates of developments on the field? And how can you be present at all locations at any time necessary without physically travelling? These questions are increasingly relevant in today’s world, where pressures to reduce manpower is immense.

More and more digital experts are needed who can constantly monitor our waterboard area using multi-source imagery through processes such as change detection and generating reports without having to go on site.

We started using location-intelligence technology for virtual supervision is mostly aimed at detection ditches and waterfalls that have insufficient drainage to blockages caused by vegetation-growth. In a short span of time, we see many more possibilities to gain insight into the rich imagery that will help us effectively manage public spaces. We are also dabbling with machine learning to improve accuracy levels of change detection. In this session, we will discuss the successes at WDO Delta using geospatial solutions.

Jeroen Waanders

Information Advisor at WDO-Delta
LinkedIn 

DO YOU ALREADY HAVE A TICKET?

Registrations are coming in. Ensure yourself a spot for Make Geospatial Matter 2018. Register yourself via the link below:

Make Geospatial Matter