Euroopan unioni Vipuvoimaa EU:lta

Description of the project funded by the European Regional Development Fund (ERDF)

1 Project

Project code: A73945

Project name: Virtual Forest 2.0

Policy: 2. Production and utilisation of latest knowledge and expertise

Specific objective: 5.1. Strengthening innovation work in companies

Planned completion time: Start 1.6.2018 and end 31.12.2020

Operational status: Ended

Responsible authority: Centre for Economic Development, Transport and the Environment North Ostrobothnia

2 Basic applicant information

Official name of the applicant: Lapin ammattikorkeakoulu Oy

Organisation type: University of applied sciences

Business ID: 2528792-5

Street: Jokiväylä 11

Telephone number: 0207986000

Postal code: 96300

City/town: Rovaniemi

Website: http://www.lapinamk.fi

Project contact person's name: Anne-Mari Väisänen

Contact person's position in the organisation: Projektipäällikkö

Contact person’s email address: anne-mari.vaisanen(at)lapinamk.fi

Contact person's phone number: 040-775 1893

Number of applicants or subsidy transfer:

Co-organisers

3 Plan-specified summary of the project completion

Access to raw material, multi-objective planning and different interests of multiple stakeholders require new digital tools for planning the utilization of natural resources and the land-use. There is a need to develop digital products and services for activating forest owners and for guaranteeing prerequisites for operations of forest livelihood in Lapland.

Virtual forest is a new innovation tool that enables forest data 3D-visualisation and combines forest data with spatial data. Nowadays the Virtual forest is used as learning environment for forestry education, but through further development the utilization can be widened to participatory planning of land use, for guidance of forest owners and for combining interests of different stakeholder groups concerning utilization of natural resources and areas.

The goals for the project are

•to advance the automatisation of Virtual forest (from forest data to visualisation)
•to test and advance the utilization of remote sensing data in the forest visualisation
•to enable the utilization of Virtual forest in different vegetation zones
•to develop the level of visualisation
•to widen the use of Virtual Forest in forest livelihood as well as survey the utilization possibilities among other livelihoods in Lapland.

Actions of the project are 1) Further technical development of Virtual Forest, 2) Wider visualisation of forest data, 3) Widening the utilization of natural resource data in visualization, 4)New ways of utilization of forest data visualization and 5) Management and communication.

The results of the project are:

•automatisation of Virtual Forest (forest data to visualisation)
•3D-models of different vegetation zones outside Lapland
•more accurate location of trees in virtual forest environment
•developed utilization of remote sensing data as well as other open source data in forest visualisation
•survey of other potential utilization sectors of visualised forest data and its added value in decession making process
•test results and feedack from forest service companies as well as public sector (land use)
•discusssion with Forestry Centre about linking Virtual Forest to Metsään.fi service
•test results and feedback from Metsähallitus after testing the Virtual Forest in the participatory planning process: combining the needs of different livelihoods in forest area utilization.

The project is being executed in close co-operation with various experts of forestry and forest data. In the long-term the project has impact on securing access to raw material for forest industry by offering a new, demonstrating element for guidance of forest owners. In addition, the Virtual Forest offers new kind of tool for participatory planning of utilization of natural resources. It can offer added value to other land use planning processes as well as combining different interests of livelihoods in Lapland.

4 Project target groups

4.1 Actual target groups

Yritykset, metsäorganisaatiot

4.2 Indirect target groups

Metsänomistajat, metsäteollisuus, muut elinkeinot (matkailu), virkistyskäyttäjät, oppilaitokset

5 Public funding of the project (EUR)

EU and State funding granted: 347 596

EU and State funding used: 327 692

Planned public funding (total): 477 133

Planned public funding used (total): 449 809

6 Geographical target area

Regions: Lapland, North Karelia

Subregions: Joensuu, Rovaniemi

Municipalities: Rovaniemi, Joensuu

Address of the project site, if the project is carried out in one place

Street:

Postal code:

City/town:

7 Estimates of project-specific monitoring information reported during the application phase

7.1 Number of new jobs (only requested for projects belonging to specific objectives 1.1, 2.1 and 3.1)

Planned: 0, in which women are employed 0

Completed according to monitoring information: 0.00, in which women are employed 0.00

7.2 Number of new companies (only requested for projects belonging to specific objective 1.1)

Planned: 0, which are founded by women 0

Completed according to monitoring information: 0.00, which are founded by women 0.00

8 Horizontal principles

8.1 Gender equality

: Yes
Hankkeen toimintaympäristö mahdollistaa molempien osapuolten tasa-arvoisen osallistumisen hankkeen toimenpiteisiin ja toteutukseen. Metsäympäristön visualisoinnin edistämisen kautta voidaan entistä enemmän aktivoida myös naismetsänomistajien kiinnostusta metsien hoitoon ja puukauppaan osallistumiseen.
: Yes
Hankkeen toteutus ja toimintaympäristö mahdollistaa molempien sukupuolten tasa-arvoisen osallistumisen hankkeen toteutukseen sekä toteuttajana että kohderyhmän osalta.
: No
Päätavoite on metsävaratiedon visualisoinnin kehittäminen metsäalan ja muun maankäytön suunnittelun tarpeisiin.

8.2 Sustainable development

DirectIndirect
Luonnonvarojen käytön kestävyys 0 5
Lähtökohta kaikessa metsätaloudessa, myös tässä hankkeessa
Ilmastonmuutoksen aiheuttamien riskien vähentäminen 0 5
Kestävällä metsätaloudella ja tehokkaalla maankäytön suunnittelulla voidaan tehokkaasti ehkäistä ilmastonmuutoksen aiheuttamia riskejä.
Kasvillisuus, eliöt ja luonnon monimuotoisuus 0 5
Visualisoinnissa huomioidaan myös kasvillisuus ja luonnon monimuotoisuus. Visualisointi mahdollistaa entistä paremman maankäytön suunnittelun ja tärkeiden elinympäristöjen huomioinnin.
Pinta- ja pohjavedet, maaperä sekä ilma (ja kasvihuonekaasujen väheneminen) 0 3
Tukee kestävää metsätaloutta ja vähähiilistä yhteiskuntaa.
Natura 2000 -ohjelman kohteet 0 1
Ei suoraa vaikutusta, mutta myös Natura-kohteiden suunnitteluun sovellus soveltuu myöhemmässä vaiheessa.
Materiaalit ja jätteet 0 4
Tukee materiaalitehokkuutta luonnovarojen käytön tehokkaamman ja tarkemman suunnittelun kautta. Mahdollistaa metsänhoitotoimenpiteiden tarkemman suunnittelun ja vertailun.
Uusiutuvien energialähteiden käyttö 0 10
Tukee uusiutuvien energialähteiden käyttöä
Paikallisen elinkeinorakenteen kestävä kehittäminen 0 8
Kehittää metsätalouselinkeinoa ja myös matkailun ja muiden Lapille tärkeiden elinkeinojen yhteensovittamista.
Aineettomien tuotteiden ja palvelujen kehittäminen 0 6
Visualisointi on aineeton tuote ja palvelu metsänomistajien neuvontaa ja osallistavaan maankäytön suunnitteluun.
Liikkuminen ja logistiikka 0 5
Tukee paikallisen raaka-ainetuotannon edistämistä. Hankkeen toteutuksessa hyödynnetään etäyhteyksiä mahdollisuuksien mukaan.
Hyvinvoinnin edistäminen 0 2
Edistää Lapille tärkeiden elinkeinojen toimintaa ja sitä kautta varmistamaan työllisyyttä ja jopa lisäämään sitä, mikäli uudet investoinnit toteutuvat.
Tasa-arvon edistäminen 0 0
Otetaan huomioon hankkeen toteutuksessa
Yhteiskunnallinen ja kulttuurinen yhdenvertaisuus 0 3
Visualisoinnin avulla voidaan sovitta yhteen eri yhteiskuntaryhmien intressejä, jotka kohdistuvat samoille alueille.
Kulttuuriympäristö 0 4
Kulttuuriympäristöjen visualisointi mahdollistuu, kun sovellusta kehitetään edelleen. Kulttuuriympäristöjen erityispiirteet ja tarpeet muihin elinkeinoihin nähden pystytään entistä paremmin huomioimaan visualisoinnin avulla.
Ympäristöosaaminen 0 3
Tukee suoraan ympäristöosaamista, koska edistää metsävarojen kestävää käyttöä

9 Final report summary

Aim of the Virtual forest 2.0-project was to develop methods of visualization of forest information and to find and increase use of visualization of forest information in forest sector. Virtual forest –application for forest information visualization was developed in the project. Also new kind of more accurate forest data to describe features of the forest was developed in the project. By using more accurate forest information precision of the visualization can be enhanced. Virtual forest-application was tested and presented in different target groups during the project. During testing and presentation feedback was collected to support development of the application and forest information. The Virtual forest application was also tested in forest engineer education. During student tests feedback was collected to evaluate the possibility to use Virtual forest application in forest education in wider scale. Webinars were organized during the project to ensure wide spread information sharing about the development work that was conducted during the project. Results of the project were presented in numerous events during the project.



As a result of the project information about the usability of forest information visualization in forest sector was produced. New more precise forest information was produced and tested in the project. The Virtual forest application that was developed in the project was published. According to the feedback that was gathered in the test events forest owners, entrepreneurs, cities and also large enterprices found visualization of forest data interesting. The target groups mentioned visualization of forest data could be used for example in forest plan presentations to the forest owner, logging plan visualization, marketing, timber trade and in participative planning. Many presentation of the visualization of forest data were organized by using remote connections because of corona-virus. During the presentations forest visualization was found out to be useful both in remote forest councelling and in forest councelling that happened in face to face interaction. Forest visualization can also be used for example in participative planning that is related to city forest tending. By using the new more precise forest information that was produced in the project, a more realistic outlook of the forest could be produced compared to using only standard stand data in visualiation. For example the existence of clearings affects the outlook of the forest by making it more realistic.