The present document proposes a European-wide field sample survey which is envisioned as a supplement to the functional monitoring programs already in place (largely country-level National Forest Inventories, or NFIs).

This deliverable ‘D2.1 Initial characteristics for mapping and estimation platform’, describes the initial plans on the technical implementation of the PathFinder platform. This description allows also to highlight the main characteristics of the platform and discuss potential further development options for operational implementation of such a platform in the future.

The attainment of the Sustainable Development Goals (SDGs) hinges on the sustainable management of forests (Baumgartner, 2019). Goal 15, specifically, underscores the significance of terrestrial ecosystems, with target 15.2 aiming to promote sustainable management of all types of forests (Schulze et al., 2019).

The PathFinder project explores approaches to complement existing forest monitoring systems through the development of additional field sample survey protocols. This includes implementing a standardized plot design that has the flexibility to be employed in any country. The present document proposes a European-wide field sample survey which is envisioned as a supplement to the functional monitoring programs already in place (largely country-level National Forest Inventories, or NFIs).

There are currently no policy briefs

There are currently no infographics

PathFinder publications

Nested plot designs with concentric plots with increasing radii and size threshold underestimate tree species richness with respect to full census sampling with no tree size restrictions. Regeneration emerged as the most relevant pool for tree species richness estimation.

National as well as international requirements have led to an increased need to quantify deadwood stocks in forest ecosystems given their important role not only in terms of carbon storage and regulation of the carbon cycle but also as biodiversity refugia. However, differences in definitions and field monitoring as well as gaps in existing data on deadwood mean that comparisons among countries and retrospective analyses are difficult.

Silvicultural operations are widely used for forest regeneration and promotion of tree growth by reducing competition. The main aim of pruning, on the other hand, is to disrupt vertical fuel continuity and enhance wood quality, although the impact of silviculture on wood properties has scarcely been studied in the case of Mediterranean conifer forests.

Maps of forest resources and other ecosystem services are needed for decision making at different levels. However, such maps are typically presented without addressing the uncertainties. Thus, the users of the maps have vague or no understanding of the uncertainties and can easily make wrong conclusions.

Other Consortium Publications

Climate change influences forest ecosystems in several ways, such as modifying forest growth or ecosystem functionality. To fully understand the impact of changing climatic conditions on forest growth it is necessary to undertake long-term spatiotemporal analyses.

Recurrent climate-driven disturbances impact on the health of European forests that reacted with increased tree dieback and mortality over the course of the last four decades.

Deep learning (DL) models are gaining popularity in forest variable prediction using Earth observation (EO) images. However, in practical forest inventories, reference datasets are often represented by plot- or stand-level measurements, while high-quality representative wall-to-wall reference data for end-to-end training of DL models are rarely available.

Our objective was to develop a method for the assessment of forest area and structural variables for cases in which the availability of representative ground reference data is poor and these data are not collected from the whole area of interest.

In this study, we introduce an improved semisupervised deep learning approach, and demonstrate its suitability for modeling the relationship between forest structural parameters and satellite remote sensing imagery and producing forest maps.

Sustainable forest management requires up-to-date and reliable information, not only on forest structure, but also on its primary productivity and carbon stocks, and on changes. Information is increasingly demanded for forest management purposes, to prove responsible asset management to the shareholders, and to follow the European policies and treaties.

ICP Forests has monitored the European forests since the late 1980s. This Brief describes temporal and spatial developments in tree defoliation, a widely adopted indicator of forest health and vitality. Crown defoliation is defined as the loss of foliage on a tree compared to a fully foliated reference tree.

The European Union is today, in October 2020, a very different place from where it was in October 2015, when a call for proposals was launched that resulted in the funding of the DataBio project (among many others). We are now a Union that is planning its recovery from the most severe health emergency in our history, an emergency that has affected our economy very negatively.

A method to detect abrupt land cover changes using hierarchical clustering of multi-temporal satellite imagery was developed. The Autochange method outputs the pre-change land cover class, the change magnitude, and the change type.

We compared the performance of Sentinel-2 and Landsat 8 data for forest variable prediction in the boreal forest of Southern Finland. We defined twelve modelling setups to train multivariable prediction models with either multilayer perceptron (MLP) or regression tree models with the brute force forward selection method.

Privacy Policy

At PathFinder we take the protection of your personal data very seriously. Our purpose is to protect the privacy of the data you provide us and to comply with the current regulations on the protection of personal data.

In compliance with the Act 3/2018 of 5 December on the Protection of Personal Data and Guarantee of Digital Rights transposing Regulation (EU) 2016/679, we inform you of the following information about our privacy and data protection policy:

Who the controller of the processing of your data?

The organization responsible of your data is Norwegian University of Bioeconomy Research. This is a Research Institute located in Ås, Norway.

Postboks 115, NO-1431 Ås
Email contact

What is the purpose of the treatment?

  • To respond to requests, complaints and incidents transferred through our contact channels incorporated in the website.
  • To understand the behavior of the navigator within the web in order to detect possible computer attacks on our web.
  • Comply with legal obligations that are directly applicable to us and regulate our activity.
  • To protect and exercise our rights or to respond to complaints of any kind.
  • Submission of newsletters regarding the goods or services that make up the activity of the responsible person or news related to his activity.

What is the legal base of the treatment?

The legal basis for the treatment of your data is the consent of the data subject under article 6.1 a) of the Regulation, as well as the legitimate interest of the data controller under article 6.1 f) of the Regulation.

The data we request from you are adequate, relevant and strictly necessary and in no case are you obliged to provide them to us, but their non-communication may affect the purpose of the service or the impossibility of providing it.

For how long do we keep your data?

Your data will be kept for the time required for the proper provision of the service offered, as well as to meet the responsibilities that may arise from it and any other legal requirement.

Which recipients will receive your data?

While processing your data, [Name of the Organization responsible for the project] may share your data with:

On Projects Advising SL, as web management and maintenance service providers.

What are my rights?

  • Right of access: the right to obtain confirmation of whether personal data is being processed, as well as the right of access to such data.
  • Right to rectification of personal data.
  • Right to erasure
  • Right to limitation of processing
  • Right to data portability
  • Right to object: the right to object to data being processed.

The controller retains the right to restrict the rights set forth in Article 23 of the EU Regulation, if such restriction is provided to safeguard, in particular fundamental rights and freedoms and is a necessary and proportionate measure.

Where can I make a complaint?

If any interested party considers that their data are not being treated correctly, they can send their complaints to the following e-mail address; johannes.breidenbach@nibio.no

The data subject declares to have acquired all this information.

Cookies Policy

A cookie is a file that is downloaded and executed on your computer, phone, or mobile device when you access certain web pages. Cookies allow a website, among other things, to store and retrieve information about user’s browsing habits and recognize the user depending on the information they contain and the way they use their computer.

Cookies do not harm your computer and are necessary to facilitate navigation.

What are cookies used for on our website?

Cookies are necessary for our website to work properly. The purpose of our cookies is to improve the user’s browsing experience. They can be used to remember your preferences (language, country, etc.) during navigation and on future visits.

The information collected in the Cookies also allows us to improve the website and adapt it to the individual interests of users, speed up searches, etc.

What types of cookies does our website use?

Analysis Cookies: These, if they are used properly by us or by third parties, allow us to quantify the number of users and thus perform the measurement and statistical analysis regarding the users’ usage of our service.

Advertising Cookies: These, if they are used properly by us or by third parties, allow us to manage as effectively as possible the supply of advertising space on the website, adapting the content of the advertisement to the content of the service requested or to the use you make of our website.

What we will NOT use cookies for

Our cookies do not store information about your personal identification, address, password, credit or debit card details, etc.

Who uses the information contained in these cookies?

The information stored in the website’s cookies is used exclusively by us, apart from those identified below as “third party cookies”, which are used and managed by external entities to provide us with services to improve our own services and the user’s experience when browsing our website.

Third party cookies are mainly used to obtain statistics and to guarantee the payment operations are carried out.

Can I prevent cookies from being used?

Yes, firstly, you must disable cookies in your browser and, secondly, delete the cookies stored in your browser associated with this website. 

You can restrict, block, or delete cookies from this website at any time by modifying your browser settings. This setting is different for each browser. For more details on the configuration of cookies in your browser, please consult your browser’s “Help” menu.

It is possible that some of the website’s features may no longer work if you disable cookies.

List of cookies that our website uses

Technical and customization cookies

These Cookies are used to identify the user during the session, prevent the user from having to repeat authentication processes on the website, speed up some website processes, remember selections made during the session or on subsequent accesses, remember pages already visited, etc.

User identification
They are used to identify and authenticate the user. They also contain technical data from the user session, such as connection timeout, session identifier, etc.
Session identification
They identify the user's http session. They are common in all web applications to identify requests from a user’s session.
Navigation status
They help identify the user's browsing status (login, first page, first access, scroll status, voting status, etc.).
Navigation analysis cookies

These Cookies obtain generic information about users’ accesses to the website (not the content of the same) to subsequently provide us with information about these accesses for statistical purposes.

Google Analytics (__utma, __utmb, __utmc, __utmd, __utmv, __utmz, _ga...)

They allow website statistic’s tracking through the Google Analytics tool, which is a service provided by Google to obtain information about user access to websites. Some of the data stored is: number of times a user visits the website, dates of the user's first and last visit, duration of visits, from which page the user accessed the website, which search engine was used or which link was clicked, from which part of the world the user accessed the website, etc. The information generated by the cookie about your use of the website will be directly transmitted and stored by Google Inc (a company located in United States). The configuration of these cookies is predetermined by the service offered by Google, so we suggest you consult the Google Analytics privacy page, for more information on the cookies it uses and how to disable them (keep in mind that we are not responsible for the content and accuracy of third-party websites).

Third Parties