ws20m1
This Smart Forests workshop focuses on the assessment and monitoring of forest ecosystems using state-of-the-art Remote Sensing (RS), artificial intelligence (AI), and robotics. Highlighted in this workshop will be emerging topics on data acquisition, pre-processing, information extraction, and forest remote sensing applications to support improved understanding of forest ecosystems, efficient management of forest resources, and multi-scale approaches for forest assessment and monitoring. One of the aims of this workshop will be to encourage discussions on innovative robotic operation of sensors, platforms, and AI powered processing technologies, from the perspectives of practical applications. The workshop also encourages the benchmarking of various data sources and processing methods for extracting key forest metrics and attributes and modelling forest processes.
This workshop is jointly organized by
  • WGIII/1 Remote Sensing data processing and understanding
  • WGI/7 Data quality and benchmark of sensors
  • WGIII/8 Remote sensing for agricultural and natural ecosystems

CHAIRS

Wuhan University, China (WGIII-1)

Finnish Geospatial Research Institute, Finland (WGI-7)

University of Padova, Italy (WGIII-8)

CO-CHAIRS

 Canadian Forest Service, Canada (WGI-7)

University of Cagliari, Italy (WGIII-1)

Tokyo University of Agriculture and Technology, Japan (WGIII-8)

Freie Universität, Germany (WGI-7)

University of Maryland, College Park, USA (WGIII-1)

University of Chile, Chile (WGIII-8)

Finnish Geospatial Research Institute, Finland (WGI-7)

Czech University of Life Sciences Prague, Czech Republic (WGIII-1)

Polytechnic University of Marche, Italy (WGIII-8)

Themes of the event:
  • Advancements in novel sensors, platforms, data generation, and data fusion
  • Automation and real-time system operations
  • Innovation in robotic operation of sensors, platforms, and AI powered processing technologies
  • Machine and deep learning approaches for forest mensuration, reconstruction, and attribute estimation
  • New knowledge and understanding about forest functioning processes
  • Benchmarking as a mechanism to determine the potential and limitations of remote sensing systems and methods

 

Scientific Committee:
  • Xinlian Liang, Wuhan University, China
  • Yunsheng Wang, Finnish Geospatial Research Institute, Finland
  • Francesco Pirotti, University of Padova, Italy
  • Joanne C. White, Canadian Forest Service, Canada
  • Fabian Faßnacht, Freie Universität Berlin, Germany
  • Maria Teresa Melis, University of Cagliari, Italy
  • Weishu Gong, University of Maryland, College Park, USA
  • Megumi Yamashita, Tokyo University of Agriculture and Technology, Japan
  • Jaime Hernandez, University of Chile, Chile
  • Martin Mokroš, Czech University of Life Sciences Prague, Czech Republic
  • Mariana Campos, Finnish Geospatial Research Institute, Finland
  • Roberto Pierdicca, Polytechnic University of Marche, Italy