3DforEcoTech is launching calls for Virtual mobilities. Below are specific projects that should take 2-3 weeks of work, and you will receive 1,500 euros. For these grants, no travelling is expected. The call opens on September 5th, 2025. The call will close when candidates are found, so it will be on a first-come, first-served basis....
In the summer of 2024, LiDAR data were collected in young pine plantations in the Ourense province in northwest Spain using handheld mobile scanners (HMLS) and terrestrial laser scanners (TLS). In the field, 20 trees were measured, successively felled, dried and weighed. The STSM/virtual mobility we propose represents the preliminary step in developing models for...
Aim & Objectives Precision forestry is an approach to forest management that leverages advanced technologies to enhance decision-making processes and optimize forest operations. LiDAR technologies enable detailed measurements of tree height, canopy density, stem diameter, and even understory vegetation, allowing for a more precise understanding of forest composition and health. By capturing data at a...
TreeAI4Species Data Science Competition is a global challenge to develop innovative algorithms for identifying tree species using high-resolution aerial imagery. This competition is an opportunity for data scientists, researchers, and AI practitioners to push the boundaries of remote sensing and AI applications in forestry. The results of this competition will contribute to the development of scalable,...
News Due to the high number of applications (260+) we are extending the deadline for the decision to 31st May. Thank you for your understanding. AIM & OBJECTIVES We are opening a call for participants of the Interdisciplinary Summer School on Forest Ecosystems 2025. It is already the third year in a row where we...
Working Groups 2 and 5 Data preparation for Deep learning models Duration: 3 months. Timing: 20 January 2025 (flexible starting). Location: in person Total estimated grant: 4000 euros Description: This STSM Position Grant is important to the WG2 (data fusion) and WP5 (forest ecology) activities. During this STSM the successful candidate will help with the website preparation,...
One focus of the session “Remote Sensing for Forest Applications” at the upcoming European Geosciences Union General Assembly 2025 (EGU25) in Vienna, Austria (27 April – 2 May 2025), will be on the outcomes of the 3DForEcoTech COST Action (www.3dforecotech.eu). Its focus is on developing protocols for data acquisition and processing, fusion for forest inventory...
We are opening a call for a local organizer of the Interdisciplinary Summer School 2025. It is already the third year in a row that we plan to do a summer school where multiple COST Actions will get together and train a new generation of scientists on how to map, monitor and model forest ecosystem...
Dear forest scientists, As part of the COST action 3DForEcoTech and COST SNSF project, we aim to establish an international collaboration and create the first database for the detection of individual tree species. We are seeking i) manual tree species canopy delineations and ii) aerial RGBI (red, green, blue, and near infrared) or RGB imagery data for the delineated tree species...
Do you have data from destructive measurements (traditional approach) paired with scans from close-range technologies? This kind of data is quite scarce and involves much work. Therefore, the value of this data, combined from different locations/countries, is even greater, and we would really appreciate it if you could help us in the compilation of information to improve our knowledge...
From monitoring to modelling Aim & Objectives The increasing rates of changes in environmental conditions put higher pressure on science to provide robust estimates of future ecosystem development. We need robust approaches to measure the current state, understand the processes and then accurately predict the development of forest ecosystems. In this view, the members of...
Working Group 2 – 2 Virtual Mobility Grants Preparing training material for the data fusion summer school For Each grant: Duration: 4-6 weeks. Timing: April-June 2024. Location: Online Total estimated grant per virtual mobility: 1500 euros Description: This Virtual Mobility (VM) Grant is an important part of the WG2 (data fusion) activities. During this VM the successful...