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Airborne laser scanning in precision forestry

Tracks
Downer Room
Wednesday, September 11, 2024
11:45 AM - 12:45 PM
Downer Room

Speaker

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Prof Krzysztof Stereńczak
Team Leader
IDEAS NCBR Sp. z oo

Precision forestry – Current status of Practical Implementation and Research problems

11:45 AM - 12:00 PM

Abstract

Biography

Prof. Dr hab. Eng. Krzysztof Stereńczak, Professor at the Research Institute of Forestry (IBL), Deputy Director for Research and Science, Head of the Geomatic Department of the Research Institute of Forestry and Leader of the Precision Forestry Team at IDEAS NCBR. He received his professor title in 2024, his habilitated doctorate at the Forestry Research Institute in 2018, his doctorate at the Faculty of Forestry of the Warsaw University of Life Sciences (SGGW) in 2011 and his master’s degrees at the Warsaw University of Life Sciences (forestry), the University of Salzburg (UNIGIS) and the Warsaw School of Economics (Executive MBA). Supervisor of 6 completed doctoral theses, and supervisor of 5 postgraduate students. Co-author of 160 scientific papers, participant in over 30 research projects. His scientific interests focus on topics such as monitoring and inventory of forests using remote sensing data, precision forestry and forest management.
Mr Timothy Devereux
PhD Candidate
The University of Queensland

Enhancing the Validation of Drone LIDAR Forest Biomass Retrieval Algorithms through a Comprehensive Simulation Framework

12:00 PM - 12:15 PM

Abstract

Biography

Tim is a PhD researcher affiliated with the UQ Remote Sensing Research Centre and CSIRO, with a background in computer science and forest ecology. His academic and professional journey has led him to a collaborative project involving UQ, TERN, and the CSIRO, where he plays a role collecting terrestrial LiDAR and spectral measurements of forests across Australia. The essence of his PhD research lies in leveraging these data to construct high-fidelity digital twins, serving as the foundation for next-generation 3D radiative transfer simulations. These simulations are instrumental in the calibration and validation of earth observation technologies within a versatile digital framework. Currently, Tim's research is concentrated on the development and validation of LiDAR-based biomass retrieval algorithms. This innovative work integrates both simulations and actual reference data to enhance the accuracy and reliability of biomass assessment methods.
Mr Ryan Armstrong
Devops Manager
Northwest Management Inc

Lidar-Measured Expressed Growth for Site Indexing

12:15 PM - 12:30 PM

Abstract

Biography

Ryan Armstrong has been working in geoanalytics since graduating with his Master’s in Geophysics from University of Wyoming in 2015. He spent 5 years working as a geoscientist in Houston, TX with a focus on asset risk and valuation assessment. In 2021, his love of data analytics and natural resources drew him to a new career in forest management with Northwest Management, Inc where he has spent his time learning about forestry and experimenting with new techniques to process high-precision LiDAR data sets into useful and explainable products for forest and landscape managers across the country.
Dr Liming Du
Assistant Researcher
Institute of Forest Resource Information Techniques / Chinese Academy of Forestry

Individual Tree Level AGB Model for Different Tree Species based on UAV LiDAR

12:30 PM - 12:45 PM

Abstract

Biography

Dr. Du Liming is an assistant researcher at the Institute of Resource Information, Chinese Academy of Forestry. Her research areas include multi-sensor LiDAR integration and data processing, multi-scale forest parameter estimation and carbon measurement. She has participated in and led multiple national level projects and sub projects, and published over 20 papers in international journals and academic conferences such as “Remote Sensing of Environment”, “IEEE Transactions on Intelligent Transportation Systems”, “Plant Phenomics”.
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Prof Krzysztof Stereńczak
Team Leader
IDEAS NCBR Sp. z oo

Chairperson

Biography

Prof. Dr hab. Eng. Krzysztof Stereńczak, Professor at the Research Institute of Forestry (IBL), Deputy Director for Research and Science, Head of the Geomatic Department of the Research Institute of Forestry and Leader of the Precision Forestry Team at IDEAS NCBR. He received his professor title in 2024, his habilitated doctorate at the Forestry Research Institute in 2018, his doctorate at the Faculty of Forestry of the Warsaw University of Life Sciences (SGGW) in 2011 and his master’s degrees at the Warsaw University of Life Sciences (forestry), the University of Salzburg (UNIGIS) and the Warsaw School of Economics (Executive MBA). Supervisor of 6 completed doctoral theses, and supervisor of 5 postgraduate students. Co-author of 160 scientific papers, participant in over 30 research projects. His scientific interests focus on topics such as monitoring and inventory of forests using remote sensing data, precision forestry and forest management.
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Dr Juan Suarez
Remote Sensing Scientist
Forest Research

Chairperson

Biography

Project leader of the Remote Sensing Applications programme. Main research activities include Earth Observation technologies like LiDAR, Thermography, Time-series analysis of optical Satellite Imagery, Terrestrial Laserscanning, Structure from Motion and Hyperspectral Analysis applied to: Forest Inventory, Monitoring Forest Health and Tree Physiology. He has authored or co-authored more than 50 peer-reviewed papers, two books and presented to more than 100 oral presentations at international conferences. He undertakes peer-reviews for several scientific journals and is also invited editor in Current Forestry Reports (ISSN: 2198-6436) (Impact factor 10.975). He is the founder of ForestSAT.com, and a member of SRUK (Spanish Researchers in the UK) and the Spanish Association of Forestry. He is a visiting Professor at the Universities of Santiago de Compostela (Spain); and a research fellow at Swansea University (UK). He is a regular collaborator of the Chinese Academy of Forestry and Finnish Academy. He has co-supervised 15 PhD students.
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