3DForEcoTech Workshop

Part of our first in-person 3DForEcoTech meeting in Prague will be a workshop day (15.06.2022). It is full of exciting talks. The whole workshop will be streamed, so if you want to watch it live, please register below, and we will deliver the streaming link to your e-mail on the day of the workshop.

Register HERE.

Program

7:45-8:45 Registration

8:45-9:15 Welcome from Vice-dean of the Faculty of Forestry and Wood Sciences, ČZU Prague

9:15-9:30 Welcome from Chair of 3DForEcoTech COST Action

Oral Session 1 9:30-10:30
Chairperson: Ninni Saarinen

  • Daniel Kükenbrink: Towards an operational implementation of close-range remote sensing within the framework of the Swiss National Forest Inventory
  • Cédric Vega: Terrestrial laser scanning for volume equations in the framework of the French National Forest Inventory
  • Peter Surový: iScanForest application – measurement of forest features using iPhone LiDAR capability
  • Kim Calders: Digital Twins: The Potential of Realistic Forest Stand Reconstructions from Terrestrial Laser Scanning for Radiative Transfer Modelling

Coffee Break 10:30-11:00

Oral Session 2 11:00-12:30
Chairperson: Suzanne Marselis

  • Markus Hollaus: The SilviLaser 2021 Benchmark Data Set
  • Julián Tomaštík: Low-cost GNSS-based positioning as a tool for proper co-localization of data from differing sources
  • Bernhard Höfle: LiDAR simulation with HELIOS++ and the object-based tree database pytreedb for development of 3D/4D point cloud algorithms & deep learning
  • Martin Krůček: 3D Forest 2.0: Redesigning the software for processing point clouds for forestry and forest ecology purposes
  • Stefano Puliti: Tree height-growth trajectory estimation using uni-temporal UAV laser scanning data and deep learning
  • Eetu Puttonen: Hyper-temporal Long-term Observation and Learning of Forest Functioning Dynamics through TLS station

Lunch 12:30-14:00

Oral Session 3 14:00-15:30
Chairperson: Carlos Cabo

  • Markus Eichhorn: What is the leaf area of a tree?
  • Soma Maxime: Estimation of Spatial Distribution of Leaf Area Density in Canopies from Terrestrial LiDAR Point Clouds
  • Eva Lindberg: Mapping of forest biodiversity from dense airborne laser scanning data
  • Jesper Erenskjold Moeslund: Using lidar to characterize high-dark-diversity forest habitats
  • Harry Owen: Three-dimensional structural plasticity and light capture in Mediterranean Forests
  • Oded Liran: Remote Sensing Index of Electron Transport Rate Relates to Light Use Efficiency and Crop Stress

Coffee Break 15:30-16:00

Poster Session 16:00-16:30

Oral Session 4 16:30-18:00
Chairperson: Sruthi Krishna Moorthy Parvathi

  • Péter Ódor: A European platform of forest multi-taxon biodiversity (Cost Action CA18207)
  • Sorin Herban: Current Practices in UAS-based Environmental Monitoring – 16219 COST HARMONIOUS
  • Michal Bošela: Recent ecological research in beech-fir primary forests in Slovakia
  • Ivaylo Tsvetkov: Remote sensing technologies in forest ecosystem monitoring as a reliable alternative for the future – some illustrative examples, Bulgaria

Social dinner 19:30 (https://ufleku.cz/)

Poster Session 16:00 – 16:30

Azra Čabaravdić: Characterisation of the black alder (Alnus glutinosa (L.) Gaertn.) patches supported with handheld device derived data

Azra Čabaravdić: Forest vegetation analysis supported with  spectral diversity prediction in natural monument “Tajan”

Andreas Andreou: University of Nicosia (UNIC)

Carlos Cabo: Realistic 3D fuel models in forest plots from ground-based point clouds

Enrico Tomelleri: Does the VAIA storm show us that we need a new paradigm in Silviculture?

Gal Kušar: What could be 3DForEcoTech COST Action contribution to National Forest Inventories

Chiara Torresan: LasUAV: a UAV-LiDAR system for forestry applications

Kamil Král: Ultra-High-Density Unmanned Laser Scanning for Large-Area Mapping of Individual Trees

Kate Hand: What’s the best way to measure the leaf area of urban trees?

Gokul Kottilapurath Surendran: Tree species classification from RGB images based on tree bark implemented into terrestrial photogrammetry process

Nusret Demir: Primarily Results of Calculating Crown Parameters of Various Citrus Trees with UAV-Based Image And LIDAR Data

Facebook
Twitter
LinkedIn
WhatsApp
Email
News

Latest Updates

September 5, 2025

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....

July 10, 2025

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...

March 31, 2025

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...

March 31, 2025

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,...

March 24, 2025

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...

December 20, 2024

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,...