GeoMundus 2017

Dr. Pau Aragó
Geospatial data from maps to Volunteered Geographical information

Maps were made to travel, to know the bounds of kingdoms, to build and plan roads, and for environmental management, amongst many other things. Originally, maps were difficult to make, and kept in secret as valuable treasures. Nowadays everything has changed, OpenStreetMap has made it possible to build a collaborative map by an army of volunteers from different backgrounds. Geospatial data has grown from some lines and points on a paper map, to gigabytes of information. However, this amount of information contains noise that must be filtered. Even more this filter is specific to the data source. Spatial statistics is a tool able to manage this amount of data to extract the relevant information.

Abdelrahman Eltahhan
Comparison And Analysis Of Surface Urban Heat Island Spatial Variability In Cities Of Sub Tropical Zone

Ivan Radevski
Natural Regime Of Streamflow Trends In Macedonia

Panagiotis Koziokas
Data Visualization: Approach from IOT Devices Data to GIS Software

Vlad Mihai Rosca
Comparison of Pixel Based Image Classification Algorithms for the Classification of Remotely Sensed Satellite Imagery

Cristina Castrillo
Social Acceptance of Rescue Drones in the Beaches of Cadiz, Spain

William Alexander Martinez Blanco
Median Polish Kriging for Space Time Analysis

Dr. Cidália Maria Parreira da Costa Fonte
Volunteered Geographic Information for the creation and validation of Land Use and Land Cover Maps

A wide variety of Volunteered Geographic Information (VGI) is now available, such as photographs, georeferenced text or vector maps. Some of these data enables the extraction of information on land use and land cover, which may be useful for the production and validation of Land Use/Land Cover Maps (LULCM). However, the use of VGI raises several problems. In this presentation the potential and limitations of using VGI for the creation and validation of LULCM are explained. Initiatives that provide potentially useful data are identified, examples of VGI use for this aim are presented, and topics requiring further research are highlighted.

The Internet of Things (IoT) is a term used to describe the interconnectivity of smart devices that are able collect and exchange data. We are all connected to the IoT in our daily lives whether we know it or not. In this presentation, HERE introduces how they leverage on the IoT in delivering mapping data and services to individuals and companies. They explain how location content is collected, processed and finally published on HERE applications like HERE Maps, and also for GIS analyses.

Panagiotis Koziokas
Data Visualization: Approach from IOT Devices Data to GIS Software.

Vlad Mihai Rosca
Comparison of Pixel Based Image Classification Algorithms for the Classification. of Remotely Sensed Satellite Imagery.

An interactive session providing a great opportunity for students interested in working professionally in geoinformatics practice.
The session will provide insight on various queries of students such as:
1. What are the possibilities and options for building your career in geoinfomatics?
2. Should one pursue further studies (PhD), or go into the workforce?
3. Critical ideas for entrepreneurs.
4. Tips for moving forward.

Panellists include our keynote speakers and invited guests.

Dr. Rui Li
Mapping beyond the Screens: Visualizing Direction and Distance to Distant Landmarks

Navigation systems on our mobile phones have greatly changed our traveling and exploring patterns. Despite the convenience of using those systems in navigational tasks, the way instructions are given and the small size of screen have hinder user’s capability of being spatially aware. While changing the way instructions is a research topic, this presentation focus on the efforts on compensating the small size of representation by introducing methods to visualize landmarks in distance which could not be displayed on screen at a large cartographic scale. A series of studies was carried out investigate the use of visual variables, the fundamental cartographic principle on symbol design, in symbol design for distant landmarks. Results include the designed prototypes using specific visual variables, and user studies carried out to evaluate the influence of each visual variable on perceiving the distance.

Chiranjib Patra
Geospatial Monitoring Of Infectious Diseases By Unmanned Aerial Vehicles.

Tina Baidar
Habitat Suitability Modeling Of Mikania Micrantha And Assessing Its Impact In Chitwan National Park, Nepal.

Cristina Castrillo
Social Acceptance of Rescue Drones in the Beaches of Cadiz, Spain.

William Alexander Martinez Blanco
Median Polish Kriging for Space Time Analysis.

Vengus Panhwar
Geospatial Tools For Tsunami Hazard Mapping: A Case Study Of Gwadar Port.

Lorena Abad
Exploring Space-Time Patterns Of Volunteered Cycling Data In An Intermediate City.

Erdem Gündoğdu
Determination Of Faults That Cause Earthquakes As A Type Of Natural Disasters By Landsat Satellite Image: Düvertepe Fault Zone (Balikesir, Turkey).

Ahmed Zegrar
Multispectral Analysis for Forest Mapping and Identification of Regeneration in Area of the North West Algeria.

Dr. Torsten Prinz
Unmanned Aireal Systems in Geosciences: More than an Eye in the Sky

Civil remote sensing by Unmanned Aerial Systems (UAS) is one of the most dynamic evolving technology of our decade. UAS are particularly useful in geosciences, as they provide different data products at high temporal, spectral and spatial resolution. Moreover, data acquisition costs are lower than those of conventional methods such as extensive ground sampling and survey, manned airplanes, or even satellite technologies. Depending on the type of UAS various use case scenarios and potential benefits in geosciences are conceivable as they vary in sensor sensitivity, data formats, operational coverage and accelerated data deployment times. Taking these facts into account, UAS represent modern and effective tools to support the detection, the monitoring and also the management of geoobjects and their related spatial aspects. In many cases UAS also utilize low-cost sensors, free-of-charge mission planning software, open source data analysis and GIS products to reduce operating costs and personnel expenditure, additionally increasing its overall efficiency. The analysis of rapidly calculated, accurate 2- and 3D UAS geodata enables the user to model the real world in various scales and perspectives. To highlight this new development in geosciences some selected use cases from traditional mapping-sciences, like geography, cartography and geoecology, but also from archaeology or geoinformatics are presented which underline the potential and important role of UAS technology in modern, global orientated sciences.