Inventering, värdering, övervakning

Bank Danych o Lasach jest hurtownią danych mającą na celu gromadzenie, przetwarzanie i udostepnianie informacji dotyczących lasów wszystkich typów własności w Polsce. Ponadto, wśród celów BDL znajduje się wspieranie badań naukowych, umożliwienie wykonywania analiz i prognozowania zasobów leśnych oraz promowanie standardów zbierania i przetwarzania danych o zasobach przyrodniczych.

W Banku Danych o Lasach dostepne są zarówno dane w formie opisowej jak i kartograficznej. Zakres dostepnych danych obejmuje dane taksacyjne i prognostyczne oraz dodatkowe dane dotyczące: ochrony lasów, ochrony przeciwpożarowej, ochrony przyrody, monitoringu środowiska, hydrologii, klimatologii, geologii, regionalizacji przyrodniczo–leśnej, leśnych obszarów funkcjonalnych, regionalizacji nasiennej, Państwego Rejestru Granic. Z BDL skorzystać można za pośrednictwem portalu internetowego (na którym znaleźć można także raporty, publikacje i mapy) oraz aplikacji mobilnej (mBDL), która oferuje dostęp do map i nawigacji.

Główną grupą odbiorców są leśnicy, ale Bank Danych o Lasach wykorzystywany jest również do celów planowania przestrzennego, nauki, statystyki publicznej i międzynarodowej, a także turystyki. System dostarcza danych na poziomie centralnym, regionalnym i lokalnym i obejmuje ok. 95% lasów w Polsce (jedno z najbardziej kompletnych zestawień danych o lasach, w porównaniu do innych krajów, które dysponuja podobnymi rozwiązaniami). Każdego miesiąca portal BDL odwiedza ponad 25 tys. użytkowników.

The Forscope is a prototype of an advanced planning system for forest biomass supply chain. It works as a digital marketplace for forest biomass, providing information on supply and demand for forest biomass for various types of users, biomass producers, biomass consumers and logistical suppliers of processing and transportation. It also allows the planning of the supply chain, i.e. it sequences the forest biomass splitting operations according to the available equipment fleet and their productivity, in order to minimize logistics costs and meet the supply contracts of the biomass plants. It can also provide the optimal transport routes and cost estimates with processing equipment, with transport equipment, thus allowing the management of an operations plan that can be monthly but also a daily management of operations.

The portal LegnOk is based on the due diligence systems created by ConLegno and sealed by the UE. The portal is a flexible tool that offers the possibility to be guided while doing the three phases 3 (Access to the informations. Risk analysis, eventual risk mitigation) of the due diligence. The operator completes the entire process within the portal framework and can print and use the printed report from it (report of the risk analysis) to state the process underwent by the operator. This report identify all the informative sources used in and by the system and can be provided to the authority whether a control or an audit happens.

The efficiency, security and inviolability of the blockchain system support forest certification and the forest-wood supply chain with a view to "ensuring certainty and informing according to truth". The Woodchain project involves, together with PEFC Italy and PEFC France, various Turin and Val di Susa realities: Replant Srl, Foodchain spa, La Foresta, Alta Val Susa forest consortium, F. Roche sas, Silva cooperative company and Kaboom Srl.
The purpose of the study is to test the application of blockchain technology as an innovative IT (information technology) solution for forestry and wood applications. This technology allows you to create and manage a large distributed database for managing transactions shared between multiple nodes on a network. The nodes represent the users or entities participating in the network, which contribute to the constitution of the actual blocks, each containing multiple transactions, connected together in the network, which allow decentralization and participation in the management of information and data.
Specifically, the project's objective is to strengthen trust and traceability along value chains, create an efficient and accessible sustainable forest management certification, and encourage the evolution of certification, data collection and impact measurement processes.

The Digital Sawmill is a project is funded by Vinnova and the participating companies Moelven Industrier, RemaSawco, Schneider Electric, RISE and DigiWood. The aim of the project was to, by digitizing the sawmill's production and process data, increase the process efficiency by 15%, increase the product value by 10% and reduce energy consumption by 10%. Digitization is a complicated project that takes time and requires resources. It is essential to focus on the goals set. Careful planning is required of: plant inventory, installation in stages, demanding deployment with parallel systems for new automated connections. Digitization projects start with details, continue with details and even more detail, with clear goals of a result of shaping a unified unit. Massive skills challenge. Visualize more, with less monitoring screens.Take control of data flows and take ownership of your own data.Platforms that handle data need to be tested in a harsh environment before. Different systems that measure time, energy or dimension need to be synchronized onsite, and with periodicity calibrated against "approved" similar.Traceability in saw lines can be achieved with redundant systems that measure length with the addition of timestamp. A calculation shows a potential increase in value of approximately SEK 5 million per year.

Today, the technology for identifying bark beetle attacks in the forest is largely based on manual work through visual checks of forest areas, where early attacks are almost impossible to see, while old attacks are easier to detect. Attempts have been made to identify damage attacks using satellite radar maps which give a good indication and can be seen as a complementing part to our precision analysis. Arboair Forest Mapper is a service where you analyze your images via our AI. Our model is trained on over 200 000 trees and it is verified by forest managers.

The scheme started in 1932 to ensure finances for rejuvenation after harvesting forests. Later, several forest measures have been added to the scheme, and the share of income to be disposed of has been adjusted. Now, the forest owner decides for him-/herself how much to set aside, within 4-40% of the sales revenue. The money is not taxed when it is set aside, but 15% of the money used from the fund is taxed. The forestry fund belongs to the forest property and should be used for silviculture, forest roads, forest inventory, production of Christmas trees, courses for the forest owner or employees, environmental measures, and the establishment and expansion of bioenergy plants. The forest owner is not given interest on the contribution to the forestry fund. This money is used to manage the scheme, and measures that will benefit the forestry community, e.g. information to forest owners and schools, development projects etc. The Government considers the scheme to be one of the most important measures in the forestry.