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An innovation hub
& incubator

Aims to bring together geospatial advocates to discover or generate innovative technology solutions. Connecting government entities, private companies with geospatial enthusiasts and investors.

 
Data

Access to GeospatialData.​

Technology

Provide the latest GIS Technologies.(Licenses, SW, HW)

 
Consultancy

Advices and consultancy sessions with GIS Experts.

 
Space

A space where geospatial devotees meet.

 
 

GeoHub
Growth
Strategy

 
​​
Business
Setup
Creative
Spaces
Training &
Mentorship
Networking &
Events
Investment
Opportunity

1/

Submission

2/

Validation

3/

Presentation

4/

Incubation

5/

Traction

Upcoming
Events

01

WEEKS

02

DAYS

12

HOURS
Current Workshop

Introduction to ArcGIS

Register now

Future Events

Introduction of GIS Applications

15 November 2020

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Future Events

Introduction of GIS Devices

14 January 2020

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The Geohub
Community

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Browse SLA & MoU
 
 
 
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Key Projects

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Creating a 3D City model using CityGML

Investigate the various aspects of creating a 3D city model highlighting international experiences and various standards and carryout creating a 3D City model for one or part of a UAE city using CityGML.

Machin​e Learning (AI) in Image classification

In this study models for machine learning applied to image classification to aid in change detection and extraction of vector data regarding roads, buildings and green vegetation surfaces for spatial data updating.

OpenStreetMap

Using OpenStreetMap to enrich existing Geospatial database in Dubai Municipality. Research and develop tools to download QC and ingest data from OSM.

Monitor Buildings and Mega Structures​

To study monitoring high rising buildings and major structures using InSAR data to assess their shifts and settlement over time periods.

Comparison of image classification methods in building data extraction.

The aim of the study is to give the most accurate geospatial analysis model that can be used in building data updataing. The model shall classfy extracted buildings into varoius building classes such as wharehouses, multi-story commercial buildings, residential buildings etc. as may deem necessary.

Comparison of image classification methods in road data extraction.

To compare various image classification method coupled with a surface model to extract road data in terms of quality (mainly accuracy and compeltion). The aim of the study is to give the most accurate geospatial analysis model that can be used in road data updataing. The model should cater for shadows, tree crown cover, flyovers, bridges, interchanges, tunnels etc.

Your important
questions answered

Whether you want to start your GIS venture with us or invest in one of the potential startups, feel free to contact us through accessing the below link.

Contact now
Looking to join GeoHub?
Register now
Frequently asked questions
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Upcoming
Events

WEEKS

DAYS

HOURS
Current Workshop


Register Now

Key Projects

Identifying building data QC parameters and developing quality checking models.

Identify quality checking parameters which can be considered in a routine quality checking and develop models of QC model based on ArcGIS Data review and FME and presents comparison results between these two models in terms of accuracy, speed and efficiency.

Comparison of image classification methods in road data extraction.

To compare various image classification method coupled with a surface model to extract road data in terms of quality (mainly accuracy and completion). The aim of the study is to give the most accurate geospatial analysis model that can be used in road data updating. The model should cater for shadows, tree crown cover, flyovers, bridges, interchanges, tunnels etc..

Comparison of image classification methods in building data extraction.

To compare various image classification method coupled with a surface model to extract building data in terms of quality (mainly accuracy and completion). The aim of the study is to give the most accurate geospatial analysis model that can be used in building data updating. The model shall classify extracted buildings into various building classes such as warehouses, multi-story commercial buildings, residential buildings etc. as may deem necessary.

Monitor Buildings and Mega Structures

To study monitoring high rising buildings and major structures using InSAR data to assess their shifts and settlement over time periods.

OpenStreetMap

Using OpenStreetMap to enrich existing Geospatial database in Dubai Municipality. Research and develop tools to download QC and ingest data from OSM.

Machine Learning (AI) in Image classification

In this study models for machine learning applied to image classification to aid in change detection and extraction of vector data regarding roads, buildings and green vegetation surfaces for spatial data updating.

The Spa​​​ce

 

An ambitious space for
a growing incubator

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Spacious area
Collaborative Zone
Technology Oriental 

GeoHub Experiences

 
 

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Khalid Al Ali

Student at UAE University

 
 

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Nicole Laeno

Student at UAE University​

GeoHub Testimonials

 
 

“GeoHub is an outstanding initiative providing highest quality geospatial data and products which not only help engineering professionals in high precision design and development projects but also scientific advancement through various tools. ”

Muhammad Mubasshir Shaikh

Researcher in Sharjah Univirsity

 
 

"The GeoHub has provided invaluable geo-spatial training to our students that has been beneficial for applying GIS in the real-world context".

Dr. Naeema Al Hosani

Geography and Urban Sustainability Department Chair – UAE University Geography and Urban Sustainability Department - (CHSS)

 
 

The incubator impressed me with its projects and the existence of a stimulating and supportive environment I was nominated to complete my graduation project in Dubai Municipality (3D Infrastructure Services Map Project), as everyone, including employees and HODs were keen to provide all the services and information we need.

Fatima Jamal

GIS Student-UAEU

 
 

I am a member of the Geospatial Innovation Incubator. I would like to thank the GIS Center & the GeoHub team to help me complete my project and for their support to develop the skills of GIS students and spread geospatial awareness in the country

Ali Alrashid

GIS student – UAE University.

Let's Answer Your Questions!

Whether you want to start your GIS venture with us or invest in one of the potential startups, feel free to contact us through accessing the below link

Contact Now
Frequently Asked Questions
Educational Institutions, Technology Partners, Entrepreneurs, Investors, Researchers, Private Sector Companies, Government Departments.
GeoHub membership is free for all participants
Services include: • Provide research and study environment • Accessing required data • Receiving expert assistance • Coordinate efforts and connect various entities interested in particular projects. • Encourage innovation and innovative projects and provide guidance to register them.

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