Header image

Time series for Forest Disturbances: Unraveling spatio-temporal dynamics to improve their detection and management

Tracks
Breakout 3
Wednesday, September 11, 2024
2:00 PM - 3:30 PM
Downer Room

Speaker

Dr Feng Zhao
Professor
Northeastern Forestry University

Monthly mapping of forest disturbances using dense time series Sentinel-1 SAR imagery and deep learning

2:00 PM - 2:15 PM

Abstract

Biography

Dr. Feng Zhao studies the interactive effects of natural (i.e., climate change and disturbances) and anthropogenic (i.e., forest management and socio-economic) drivers on the forest ecosystems, with an emphasis on the timely and accurate mapping of forest disturbances, as well as their long-term ecological consequences, in the face of climate change. She has extensive experiences in combining field data, multi-source remote sensing data, and deep learning models to characterize forest change dynamics across scales.
Dr Alba Viana-Soto
Postdoctoral Researcher
Technical University of Munich

The European Forest Disturbance Atlas: Towards an Operational monitoring of Forest Dynamics using the Landsat archive

2:15 PM - 2:30 PM

Abstract

Biography

Alba Viana-Soto is a postdoctoral researcher at Earth Observation for Ecosystem Management at Technical University of Munich. She is a geographer by training with a specialization in remote sensing and her research focuses on understanding the disturbance and recovery dynamics of forest ecosystems using remote sensing data (optical and Lidar) and Artificial Intelligence, from local to large-scale analysis.
Dr Martin Hais
Scientist
South Bohemian University

Spectral and Thermal multi-temporal Trajectories describing Insect Disturbance and Recovery of Spruce Forest in Central Europe

2:30 PM - 2:45 PM

Abstract

Biography

Martin Hais focuses in his research on the assessment of forest disturbance and recovery using Landsat time-series data. In addition to spectral data, he mainly uses thermal imagery to detect bio-climatic changes in forest canopy. Martin Hais lectures at two universities in Czech Republic. His courses contain especially Remote sensing, GIS, Landscape ecology and Quantitative methods. His international fellowships include two six-months stays at Johannes Gutenberg University in Mainz, Germany and Oregon state university in Corvelis, Oregon, US. Recently he is leading International project AI-KLIMA, which is assessing forest vulnerability due to climate change in central Europe.
Mr Wojciech Krawczyk
PhD Candidate
University of Agriculture in Krakow

Can SLS help with health condition monitoring of disturbed forest stands?

2:45 PM - 3:00 PM

Abstract

Biography

Wojciech Krawczyk is a Ph.D. candidate at Faculty of Forestry, University of Agriculture in Krakow (Poland) focused on applications of spaceborne remote sensing data in forest change monitoring.
Dr Paweł Hawryło
Assistant Professor
University of Agriculture in Krakow

Modelling Annual Basal area increment of Scots Pine stands using Tree-ring Observations and Multisource Remote Sensing Data

3:00 PM - 3:15 PM

Abstract

Biography

Dr Paweł Hawryło works as an assistant professor in the Department of Forest Resources Management, Faculty of Forestry, University of Agriculture in Krakow, Poland. His scientific background is mainly in applications of remote sensing for forest resource inventory and monitoring. His previously published research focused primarily on using airborne laser scanning (ALS) and digital aerial photogrammetry (DAP) data for forest resources inventory and calibration of height growth models of forest stands. His scientific interests also include monitoring of forest health and modelling forest mortality with applications of remote sensing. Currently, he is focused on modelling tree- and stand-level growth and mortality in high temporal resolution by integrating various types of input data, including observations from real-time-monitoring sensors working in the Internet of Things infrastructure, weather and climatic observations, ALS data, and dense time series of multispectral satellite imagery.
Mr Luiz Henrique Elias Cosimo
Doctoral Student
Swedish University of Agricultural Sciences - SLU

How early can we detect European spruce bark beetle attack using hyperspectral drone images with high spatial- and temporal resolution?

3:15 PM - 3:30 PM

Abstract

Biography

Luiz Cosimo is a doctoral student at the Swedish University of Agricultural Sciences (SLU), based in the Department of Forest Resource Management - Division of Forest Remote Sensing. The focus of his research is to advance in the monitoring of forest disturbances using remote sensing technologies. His recent work is about early detection or bark beetle attack at the individual-tree level using multi- and hyperspectral drone images.
Dr Daniele Marinelli
Researcher
Fondazione Edmund Mach

Chairperson

Biography

loading