Harvester data calculation service to the Finnish Forest Centre
18 May 2020
The Finnish Forest Centre collects and shares data related to Finland's forests and enforces compliance with forestry legislation. The aim of the harvester data calculation service is to improve the up-to-date forest asset data produced by the Finnish Forest Centre by enabling the utilization of data from harvesting as one of the data sources for updating the data. Triona is developing a scalable solution for Metsäkeskus, to which wood procurement organizations send data for efficient processing.
Harvester data refers to point-by-point information about where the harvester was located at the time it felled a tree on the felling compartment. The data is sent to the service by various wood procurement organizations. The harvester data is then processed to form a compartment in the harvester data calculation service. The harvester compartment is stored in a data warehouse, from which it is available for updating the forest asset data in the Finnish Forest Centre’s forest asset information system. The aim is to be able to process harvester data as efficiently as possible, even if large amounts of data is occasionally received in the calculation service at once.
Harvester data is important not only in providing accurate information on logging for the national forest asset data managed by Metsäkeskus, but also for updating the data contained in the forestry companies' own information systems. Forestry companies can retrieve the data calculated by the calculation service from the harvester data they sent through the interface service for their own use.
As a solution, Triona is developing a modern cloud-based service that scales flexibly according to the situation. The data is received in a format based on the Finnish Forest Information Standard, whose standardization Metsäkeskus is responsible for. The standard is partly based on the StanForD2010 standard. Metsäkeskus wanted the solution specifically as a cloud-based service, because of the required scalability of the service according to the peaks in use. The service is scheduled to be ready for piloting in the fall of 2020.
