FOREST2022: Image analysis for forest environmental monitoring ICPR2022 Montreal, Canada, August 21, 2022 |
Conference website | https://sites.google.com/edu.ulisboa.pt/foresticpr2022 |
Submission link | https://easychair.org/conferences/?conf=forest2022 |
Abstract registration deadline | May 30, 2022 |
Submission deadline | June 13, 2022 |
FORESTS Workshop (at ICPR 2022) - Image Analysis for Forest Environmental Monitoring.
Forests are key resources for sustaining life on earth. Large-scale and mid-scale monitoring of forest environments can be done in cost-effective ways through remote sensing and airborne or land-based sensor analysis, automating many of the processes with current machine learning and pattern recognition methods. Higher quality sensors (higher resolution, spectral bands) and acquisition technologies are becoming increasingly available both for new earth observation satellites, terrestrial observation towers, and aerial vehicles (manned and unmanned). Both individually and in combination, these different observation methods can provide valuable data for resource management policies or first response action to abnormal events.
This workshop will cover all aspects of the acquisition and analysis of aerial image (latu sensu, including RGB, hyperspectral, multispectral, LiDAR, radar), and video acquired from airborne and/or spaceborne sensors, that have an impact in the monitoring of forest environments.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. We are accepting papers with 4 pages + bibliography in the ICPR format.
List of Topics
Topics include, but are not limited to:
- Classification, detection and segmentation of vegetation cover
- Detection and tracking for monitoring animal life in forest environments.
- Measurement of humidity, temperature and biomass of vegetation cover
- Detection and segmentation of fire, smoke and burned area in wildfire events.
- UAVs in the monitoring of forest environments.
- Multispectral and hyperspectral image sensors and methods for forest analysis.
- Geo-localization and mapping of events and landmarks in forest areas
- Data acquisition from airborne and spaceborne sensors
- Public datasets that contain aerial images/videos of forest environments
- Benchmarking of aerial image/video analysis methods in forest environments.
- 3D reconstruction of forest environment with airborne image, video, LiDAR, Radar.
- Real-time data analysis for early detection and forecasting progression of wildfires.
- Combining large-scale/high latency satellite data with low-scale/low-latency aerial data.
Committees
Organizing Committee
- Alexandre Bernardino, Institute for Systems and Robotics, Instituto Superior Técnico, Universidade de Lisboa.
- Alexandra Moutinho, IDMEC, Instituto Superior Técnico, Universidade de Lisboa
- Maria João Sousa, IDMEC, Instituto Superior Técnico, Universidade de Lisboa
- Bruno Damas, Naval School, Institute for Systems and Robotics, Instituto Superior Técnico, Universidade de Lisboa.
- Catarina Barata, Institute for Systems and Robotics, Instituto Superior Técnico, Universidade de Lisboa,
- Eduardo Silva, Polytechnic Institute of Porto, INESC-TEC, Porto.
- El Khalil Cherif, Institute for Systems and Robotics, Instituto Superior Técnico, Universidade de Lisboa,
Steering committee
- Luís Félix, Air Force Academy Research Centre, Portugal.
- João Francisco, Aeroclube de Torres Vedras, Portugal.
- Vitor Lobo, Universidade Nova de Lisboa, Naval School, Portugal.
- José Santos-Victor, Institute for Systems and Robotics, Instituto Superior Técnico, Universidade de Lisboa.
- José Nascimento, Instituto de Telecomunicações, Instituto Superior de Engenharia de Lisboa.
- Xavier Viegas, Association for the Development of Industrial Aerodynamics, university of Coimbra.
Invited Speakers
- Turgay Celik (Univ. of the Witwatersrand, Johannesburg, South Africa): "Remote Sensing and AI for Wildfire Hazard and Risk Assessment"
- Luis Merino (Univ. Pablo de Olavide, Seville, Spain): “From fire perception to fire extinguishing using aerial robots.”
- Luis Mejias (Queensland University of Technology, Australia) : “From data processing to navigation challenges in unmanned operations: lessons learned in maritime environments”
Venue
The conference will be held in conjunction with ICPR 2022 (Montreal, Canada)
Contact
All questions about submissions should be emailed to foresticpr2022@gmail.com