Many developing countries face problems related to poor spatial planning practices resulting in uncontrolled deforestation, grazing and urbanization occur. In order to mitigate these processes, it is essential to have in place data-based evidence and legal frameworks.
An important part of any planning processes is land use. And this is the key focus of this project to create an open land use database. During the hackathon the team will identify available data sources including Sentinel imagery. Following the methodology for creation of Open Land Use map developed within the SDI4Apps project, the team will extend the coverage of the existing Open Land Use map by several African countries.
As a result, there will be a prototype of a web application for collaborative creation of spatial plan based on the available data. Citizens will have a chance to update the open land use map and verify the classification of land use calculated from the Sentinel imagery.
Anyone interested in this topic from the African communities and experts focused on land use classification, design, web and app development are welcome to join this team.
The 20 best applicants will be awarded contracts by the JRC for a maximum of € 13.500 to develop the applications further, and take them to the stage of first public release within 3 months of signing the contracts. The winners will also be invited to present their applications to a dedicated international event co-organised by the European Commission. This will give visibility to the winning teams and provide opportunities for further development. Travel and daily allowance will be supported by the European Commission for 1 person from each winning team.
Deadline for submitting application concept, prototype, or user story (e.g. as document, slide presentation or video): 30 March 2019.
The goal of our team is to demonstrate how interactive traffic modelling can improve traffic situation in any city. The demonstration consist in gathering freely available / open source data and deploy a traffic modeller tool to Nairobi.
The planned workflow of our solution is as follows:
gather sufficient data about traffic network and about simulated traffic generators,
calculate traffic model and import it into spatial database, where it can be accessed by our traffic modeler.
this model will be then used for modeling specific traffic scenarios via traffic modeler’s Application Programming Interface (API) (see the image below).
The final step is to develop web Graphical User Interface (GUI) similar to one already in action for the PoliVisu pilot city – Pilsen (see the image below). This application allows users to calculate various traffic scenarios (i.e. change free flow speed/capacity of road segment) in near real time via only web browser with network connection.
Food security initiatives – food and nutrition security and sustainable agriculture are still major global challenges as reflected in the United Nations (UN) Sustainable Development Goals. According to the UN Food and Agricultural Organization (FAO), 80% of crop production growth in developing countries will come from higher yields, increased crop intensity and expanding land use. Existing food security related services focused on global agriculture monitoring. As an example, we can mention the GEOGLAM FAO activity.
The goal of this team is to analyse ways how Earth Observation technologies can help farmers and all communities at local and regional levels for more sustainable agriculture and food security. We will analyse several examples, good practices and ideas, potential applications, market etc. The goal is not to transfer European solutions to Africa. The goal is to find relevant solutions for Africa. We plan to collect ideas through questionnaires, share common working place and eventually run also some practical tests. Register yourself into our group and help us search for best solutions.
The goal of this team is to publish selected spatial open data from Kenya and other African countries as 5-star Linked Open Data (LOD). The datasets will be transformed and integrated into the Smart Points of Interest (SPOI) data model. The data model for SPOI was designed during the SDI4Apps project and provides a universal exchange approach to publish point based data in RDF format according to the the linked open data (LOD) principles.
Analysis of Kenyan data from the perspective of SPOI (occurrence, original resources, types of objects).
Searching and describing selected datasets.
Harmonisation of data to the SPOI data model (development of scripts and harmonisation pipelines based on web services).
Validation and evaluation of harmonised data.
Further development of SPOI related mobile apps for Kenya/Africa
Sensors and especially the Internet of things (IoT) became recently popular due to the their significant importance to face challenges at various levels.
The aim of this project is to make research of available IoT networks, their coverage and available data sources in selected areas in Africa. In addition to that, the aim is to research and create overview of available open data and datasets from the sensor domain – e.g. meteorological stations, weather forecast, traffic cameras, public transport data and agriculture phenomena.
A further direction of the project will be focused on exchange formats and protocols that are used in the targeted domains. The practical work in this project will be focused on the implementation of connectors to the SensLog 2.0 application currently being used in DataBio and AFarCloud projects. These connectors will provide a middleware between sensor network / measuring unit / gateway to the sensor data storage.
Transfer technologies include:
Tasks that participants can be involved in:
Research of available networks and datasets
Implementation of connectors to the SensLog 2.0
Analytical tools based on data stored in the database
Visualisation of observations stored in the database
The next satellite event of the INSPIRE Hackathon will be held for the first time outside Europe. The Nairobi INSPIRE Hackathon 2019 is organised in the frame of the IST Africa 2019 Conference. The hackathon is a collaborative event organised by Plan4all and Club of Ossiach associations and EU projects including EO4Agri, DataBio, NextGEOSS, EUXDAT, PoliVisu and AFarCloud.