Challenge #4: Analytical map of Traffic Accidents in Czechia

The goal of the challenge is to develop an analytical map of traffic accidents in Czechia using GLayer, a tool for interactive visualisation of big & complex multidimensional spatial data through linked views. GLayer, is an innovative GPU computing tool designed for compute-intensive jobs. It’s parallel architecture delivers high computing performance. GLayer includes a geo-enabled database with a rendering option that is able to store, query and render billions of records. GLayer supports SQL-like queries and provides graphical output of aggregated data such as heatmaps (point or line-based). 

InnoConnect will provide the applicant with admin access to the GLayer configuration dashboard through which the analytical map project will be configured (only basic coding skills required).

The official traffic accident data provided by the Police (source) might be either processed by the applicant independently and connected to the GLayer backend via PostGIS or ClikHouse connectors (support will be provided) or a pre-processed data can be provided by InnoConnect.

Example: GLayer analytical map


Example: GLayer project configuration

***The registration for this challenge opens on 1st April***
Registration link will be available at https://www.plan4all.eu/open-spring-inspire-hackathon-2021/

Jiri Bouchal is a co-founder and director at InnoConnect.net, a technology start-up company that delivers location intelligence services to clients in the fields of smart cities, smart mobility, Internet of Things, open data and geo-data analytics & visualisation.
Jiri’s main fields of expertise include business development, business analysis, innovation management, (geo)data analytics and visualizations, functional analysis and UI design, smart city policies, eGovernment services, and smart mobility. Jiri has a successful track record in H2020 research & innovation funding, being engaged as a project manager of multiple innovation projects.
Jiri obtained MA diplomas in Law and in European Studies.
More info about Jiri can be found at: https://www.linkedin.com/in/jiribouchal/

Frantisek Kolovsky holds a position of the senior backend developer at InnoConnet and is a PhD student at University of West Bohemia (UWB). His main area of expertise include transportation algorithms, routing algorithms and processing of big spatial data.
Frantisek research focused on routing algorithms was awarded  by a 3rd place during the ACM SIGSPATIAL Cup 2015 competition (Seattle, US).
Frantisek has also been working as a software developer in several European research & innovation projects: DUET, PoliVisu, OpenTransportNet and Plan4business. He holds an Ing. (M.Eng) diploma in Geomatics from UWB.

 

Challenge #3: Analysis of Drought Conditions for Selected Use-Cases

Drought is a natural hazard that can be loosely defined as an abnormally long, though temporary, time period of water deficit. Europe has experienced a series of drought events for over a decade, which lead to devastating impacts on livelihoods, ecosystems, and agriculture. Though droughts cannot be avoided, we can try to manage them better and reduce their effects. This requires, first, monitoring drought conditions in a timely manner and evaluating their severity. Drought is commonly divided into subcategories based on disciplinary perspectives, each incorporates different physical, biological, and socio-economic factors in its definition. In the STARGATE project we focus on designing a multiscale methodology of Climate Smart Agriculture, therefore our interests are mainly in meteorological and agricultural drought categories. The information gained from drought analysis will be valuable for different stakeholders, such as farmers and decision makers. Meteorological drought is a prolonged period of precipitation deficiency, which may be accompanied by higher temperatures and lower humidity relative to the norm for a particular area. Agricultural drought comes after meteorological drought has established; this is associated with soil moisture deficiency during crop development. Drought severity, duration, and frequency will be inferred through indices, which incorporate features that reflect it. In case of meteorological drought, this means, e.g., precipitation and temperature. Agricultural drought features also involve, e.g., measurements of soil moisture, or indicators that reflect plant water stress.  The goal is to extract these features from weather models and earth observation to assess drought risk for selected use-cases of different scales – from regional to farm level.

Requirements for team members: software development, statistical modelling, geo-sciences specialists, agronomist

The aim of the challenge: The aim of the challenge is to assess drought risk by applying drought indices to weather simulation models and earth observation data for selected use-cases. 

***The registration for this challenge opens on 1st April***
Registration link will be available at https://www.plan4all.eu/open-spring-inspire-hackathon-2021/

The mentor for this challenge is:

Amit Kirschenbaum is a research associate at the Institute for Applied Informatics (InfAI), Leipzig. He currently works on the H2020 STARGATE project, where he focuses on climatic data analysis and data integration for smart agriculture.

Why to vote for Groundwater FIE in WSIS Prizes 2021

Attention to the application in last days has brought us to the idea of an interview with developers of the application. Developers described the application in short 8 questions that could provide you the overall idea what is the application all about, what benefits it provides and how you can start to use it. The record of the interview is on YouTube.

The application is available at:  https://groundwater.smartagro.lv/

Please, support our colleagues by YOUR VOTE by the end of March! 

How to vote for FIE20: Groundwater and meteo sensors?

  1. Registration – please register under the following link, you will receive a verification email with a link https://www.itu.int/net4/wsis/stocktaking/Account/Register?ReturnUrl=%2Fnet4%2Fwsis%2Fstocktaking%2FPrizes%2F2021%2FVote
  2. Log in
  3. In the menu, click on Prizes and then on the Vote button (or directly on the link below)
    https://www.itu.int/net4/wsis/stocktaking/Prizes/2021/Vote
  4. Select a category: AL C7.E-environment and you can vote

Challenge #2: Regional Attractiveness

This challenge’s primary goals are to explore and develop different forms of simple, understandable, and tempting attractive communication of regional attractiveness assessment. The challenge results will help identify and visualise similarities and differences between various regions based on statistical data. The team should consider, test and experiment with multiple approaches that include but are not limited to index calculation, clustering or machine learning methods.

The work in the challenge will be divided into three tasks: data, application and testing.

The data group will focus on optimising existing input data sets, adding new data, and dealing with data semantics, including classification of input data according to various classification systems (e.g. UN SDG, GEMET, RRI pillars etc.). Also, calculation methods and assessment of the attractiveness will be moved on, including testing machine learning approaches.

The application group will develop and improve existing interactive web application(s) showing attractiveness maps (index and clusters). The goal of the application’s development is to provide more opportunities for adjusting the perspective of attractiveness assessment to concrete user requirements.

The challenge will be tested in different scales including parcel level


The application is available at https://hub.polirural.eu/hsl-ng/rural-attractiveness-cz/

The testing group will guarantee communication with stakeholders, including providing feedback for developers and data experts and initial development of business models.. 

The results will be presented on cases focused on the Polirural project (NUTS 3 regions in Europe), Czech municipalities, African countries and other areas.

***The registration for this challenge opens on 1st April***
Registration link will be available at https://www.plan4all.eu/open-spring-inspire-hackathon-2021/

The mentors for this challenge are:

OTAKAR CERBA Assoc. prof. Otakar Čerba, PhD works at the Department of Geomatics (Faculty of Applied Sciences, University of West Bohemia, Plzeň, Czech Republic) and cooperates with Plan4all. He is focused on cartographic visualization of spatial data, Linked Data on the geographic domain and semantic issues of geographic data. He has been involved in many international projects such as Polivisu, Humboldt, SDI4Apps, SmartOpenData, Plan4all or ROSIE. Otakar Čerba is the member of the board of Czech Association of GeoInformation and the chair of the Commission on Maps and the Internet of International Cartographic Association

KAREL CHARVAT graduated in theoretical cybernetics. He is a member of International Society for Precision Agriculture, Research Data Alliance, vice chair of Club of Ossiach, CAGI, and CSITA. He was in period 2005 – 2007 President of European Federation for Information Technology in Agriculture Food and Environment (EFITA). Now is chair of OGC Agriculture DWG. He was organiser on many hackathons, where as most important were series of INSPIRE Hacks and MEDHackathon. He work on implementation on national INSPIRE Geoportal. Now he is also active in Plan4all association. He has long time experience in ICT for Environment, transport, Agriculture and Precision Farming. Now he is one from promoters of Open and Big Data in Agriculture in Europe. Participation in projects: Wirelessinfo, Premathmod, EMIRES, REGEO, RuralWins, Armonia, aBard, EPRI Start, Ami@netfood, AMI4For, Voice, Naturnet Redime, Mobildat, SpravaDat, Navlog, c@r, Humboldt, WINSOC, Plan4all, Habitats, Plan4business, SmartOpenData, FOODIE, SDI4Apps, AgriXchange, FOODIE, SDI4Apps, OTN, DataBio, EO4AGRO, EUXDAT, SmartAgriHub, SKIN and other projects.

 

The Open Spring INSPIRE Hackathon starts with Challenge #1: How to use and improve OLU 2.0.0

Land use and land cover information in combination with other thematic datasets related to detailed reference spatial data in localities forms an important dataset for different analyzes in different domains. At present, when it comes to the strategy of Green Deal, Destination Earth and the construction of Earth’s twins (Digital Twins), there is no model and database that would effectively gather information about the Earth’s surface in sufficient detail and in sufficiently complex links. Our activity of creating a geographic database OpenLandUse aims to be an effective step towards such a model. The OLU 2.0.0 database combines various thematic data with the most detailed reference geometry available in a given area. Thematic data sets are focused on information on soil cover, soils, topographic or climatic parameters, etc. and in different time periods. The model also supports the possibility of integrating data obtained by evaluating remote sensing data.

The database covers selected territorial units with a seamless layer, which provides information on various topics on selected reference geometry, which can be a cadastral map, LPIS soil blocks or even elements of the Corine Land Cover data set.

The original purpose of the database was mainly in analyzes for spatial planning and investment, agriculture, landscape development, etc. Our current ambition is to create a model and database that will support the creation of various models of landscape development and scenarios and support the building of large-scale digital models.

The aim of the Challenge is to verify the new OLU 2.0.0 model in various areas of human activity, so we are looking for specialists from various areas of human activity, programmers, remote sensing experts, public administration, land planners, farmers, foresters, nature conservation, real estate experts, business, investments and the like.

***The registration for this challenge opens on 1st April***
Registration link will be available at https://www.plan4all.eu/open-spring-inspire-hackathon-2021/

The mentors for this challenge are:

KRISTYNA CERBOVA Faculty of Education, Charles University in Prague. She works now as a communication manager in ROSIE project – Research and responsible innovation (Central Europe). Experience in education, languages, social sciences with a special focus on philosophy, history and archival science (2005-2007 digitalization activities in the National Archives of the Czech Republic). She works for other Plan4all H2020 projects such as LIVERUR or SIEUSOIL focusing mainly on smart agriculture topics.

KAREL CHARVAT graduated in theoretical cybernetics. He is a member of International Society for Precision Agriculture, Research Data Alliance, vice chair of Club of Ossiach, CAGI, and CSITA. He was in period 2005 – 2007 President of European Federation for Information Technology in Agriculture Food and Environment (EFITA). Now is chair of OGC Agriculture DWG. He was organiser on many hackathons, where as most important were series of INSPIRE Hacks and MEDHackathon. He work on implementation on national INSPIRE Geoportal. Now he is also active in Plan4all association. He has long time experience in ICT for Environment, transport, Agriculture and Precision Farming. Now he is one from promoters of Open and Big Data in Agriculture in Europe. Participation in projects: Wirelessinfo, Premathmod, EMIRES, REGEO, RuralWins, Armonia, aBard, EPRI Start, Ami@netfood, AMI4For, Voice, Naturnet Redime, Mobildat, SpravaDat, Navlog, c@r, Humboldt, WINSOC, Plan4all, Habitats, Plan4business, SmartOpenData, FOODIE, SDI4Apps, AgriXchange, FOODIE, SDI4Apps, OTN, DataBio, EO4AGRO, EUXDAT, SmartAgriHub, SKIN and other projects.

 

An achievement with web application for agriculture

It’s our pleasure to inform you that the application FIE20: Groundwater and meteo sensors developed within the SmartAgriHubs project was successful in the WSIS Prizes 2021 contest last week.

The nominated web application has been developed during the last 2 years as one of the Flagship Innovation Experiments (FIE) of the Horizon2020 SmartAgriHubs (SAH) project. The development team was an international consortium of Union “Farmers Parliament, Latvia (Zemnieku saeima, Riga), Latvian technological company BOSC (Baltic Open Solutions Center, Riga), Czech technological company Lesprojekt (Lesprojekt-služby s.r.o., Záryby), Czech Living Lab WirelessInfo (WIRELESSINFO, Litovel) and Swiss company meteoblue (meteoblue AG, Basel). Roles of the members are BOSC as main technology coordinator, Lesprojekt as analytical functionality developer and meteoblue as provider of meteorological and climatic data, Zemnieku saeima is responsible for stakeholder management, user requirements and dissemination.

The web application integrates data from e.g. sensors on farm or fields (different sensors from various data providers and integrates in common data model of SensLog application),  it provides available thematic spatial data (field blocks, protected zones, soil maps), regularly updated remote sensing data (optical or radar images from Copernicus Sentinel-1 or Sentinel-2 satellites and derived vegetation indices or soil moisture) and it provides also current weather forecast as well as historical climatic data for selected farm. The developed web application offers various analyses starting from recommendations for field interventions planning based on weather forecast or decision-making support based on EO and remote sensing data for vegetation status, yield productivity zones delimitation etc. The web application uses functionalities of Lesprojekt Cloud and it is a unique solution due to the integration of various data and functionalities in one complete application. 

The web application is hosted on the Digital Innovation Hub of the Farmers Parliament (https://groundwater.smartagro.lv/fie/index.html?lang=en) and utilizes analytical functions of the Czech FOODIE SmartAgrihub (www.agrihub.cz) and the whole infrastrukture of the Lesprojekt Cloud. The application was tested in Latvia primarily and testing in other countries is starting in these weeks. 

The application is available at:  https://groundwater.smartagro.lv/

The application was selected to the 360 nominated projects from a total of 1270 proposals to the WSIS Prizes 2021 contest. Next goal of being part of the selected 90 applications can be supported by YOU –  by YOUR VOTE. The application “FIE20: Groundwater and meteo sensors” is nominated in the Category 12 “AL C7. E-environment”. 

Please, support our colleagues by YOUR VOTE by the end of March! 

How to vote for FIE20: Groundwater and meteo sensors?

  1. Registration – please register under the following link, you will receive a verification email with a link https://www.itu.int/net4/wsis/stocktaking/Account/Register?ReturnUrl=%2Fnet4%2Fwsis%2Fstocktaking%2FPrizes%2F2021%2FVote
  2. Log in 
  3. In the menu, click on Prizes and then on the Vote button (or directly on the link below)
    https://www.itu.int/net4/wsis/stocktaking/Prizes/2021/Vote
  4. Select a category: AL C7.E-environment and you can vote

The OGC Reference Architectures in Agriculture Workshop

In the last five years the OGC Agriculture Domain Working Groups organised a number of events, discussing different aspects of interoperability. For the 118th OGC Member Meeting we have decided to organize a workshop prior to the Meeting week. The workshop is scheduled on 17th March between 2 PM and 6 PM CET.  

The workshop consists of two parts:

  • The first part will be dedicated to the presentation of a limited number of reference architectures, which were developed in last years or which are now being designed (e.g. in relation to the European initiative Destination E)
  • The second part will be a moderated Round Table. We will analyze actual challenges and issues, define most important standardisation and harmonisation tasks, identify different standardisation efforts and prepare recommendations to other OGC working groups and developers of related platforms.

This should lead to the extension of the Agriculture DWG and provide the standardisation support for building of new solutions.

The Workshop Agenda – March 17th, 2:00 PM – 6:00 PM CET (Room A)

1st part 2:00 – 4:30 PM (9:00 AM – 11:30 AM EDT)

  • Karel Charvat (Plan4all) – Lesprojekt cloud as tool for support integration of Agriculture Data
  • Francisco Javier – EUXDAT Infrastructure
  • Nils Hempelmann at all – IoT Demeter architecture
  • Dominique Laurent – Standardisation topics identified by the NIVA project
  • Arne Berre – DataBio and BDVA/DAIRO reference models
  • TBC Trimble

Break 4:30 – 4:45 PM CET (11:30 AM – 11:45 AM EDT)

2nd part 4:45 – 6 PM CET (11:45 AM – 1 PM EDT) – Roundtable with experts on Metadata, IoT, BDVA, Earth Observation, Semantic

Register for the workshop at https://store.ogc.org/.

Land 2021 Travel Awards – Open for Application (deadline: 27 February 2021)

The Land 2021 Travel awards provide financial support for the winners to attend an international conference in the field of land use/land change, land management, land system science, soil system and landscape, etc., to be held in 2021, in order to hold a presentation, present a poster, or both.

The winners (two awardees) will each be awarded 800 CHF and a certificate.

The applications will be assessed by an Evaluation Committee consisting of senior scholars from the Land Editorial Board. Please share this announcement with any colleagues you think might be interested.

Please submit your applications for the Land 2021 Travel Awards online by 27 February 2021. Prizes will be awarded at the end of March 2021 and announced on the Land website.

To find out more about the requirements for candidate participation and application support materials, please visit https://www.mdpi.com/journal/land/awards/1203.

Webinář 7: Regionální speciality – internetová platforma pro podporu lokálních výrobců a přímého prodeje jejich produktů

Dostupnost lokální produktů a podpora místních farmářů jsou témata, která nabývají velkého významu i vzhledem k aktuální koronavirové situaci. Wirelessinfo v loňském roce připravilo nástroje pro on-line prodej farmářských produktů na lokální úrovni a současně pro propagaci jednotlivých farem v zájmovém regionu. Základem tohoto řešení je propojení regionálních informací o farmářích a jejich dostupných produktech s internetovou platformou pro obchodování s těmito produkty. Na webináři, který se bude konat 23.2. ve 13:00, Vám představíme některé z možností, jak tyto nástroje využít a také zkušenosti z pilotního provozu na Klatovsku.

Program webináře:

  • Regionální speciality – technologické řešení
  • Zkušenosti z pilotního testování
  • Význam pro region

Registrujte se na webinář ZDARMA již nyní prostřednictvím odkazu, který najdete ZDE!