News: Camera Ready version are due on September 6th. Note that the paper format will be different from the submission for publication on the LNCS Proceedings, so must be prepared according to the SPRINGER guidelines:

https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines

Forests are key resources for sustaining life on earth. They act as carbon sinks and are one of the most effective ways of fighting climate change. They are one of the most important sources of renewable energies in the form of wood fuel – currently as much as solar, hydroelectric and wind power combined. Forests cover about 30% of the total land area on earth and are the home of 80% of the planet’s terrestrial species (50% of the animals). They are, thus, one of the most valuable public assets on the planet that needs to be protected from many threats coming mostly from human activity: agriculture, wildfires, urbanization, unregulated timber extraction. 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. 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.

SUBMISSION INFORMATION:

• Length: 4 page + Bibliography

• Format: ICPR 2022 submission guidelines

• Submission link: https://easychair.org/conferences/?conf=forest2022

• Deadline: June 6, 2022, 24h (AoE).

IMPORTANT DATES:

• Submission Deadline: June 6, 2022, 24h (AoE), June 13, 2022, 24h (AoE).

• Acceptance Notification: July 6, 2022, July 13, 2022.

• Workshop: August 21, 2022.

• Camera Ready Papers: September 6th.

SPECIAL ISSUE:

• Selected papers will be invited to submit extended versions of the work to a Special Issue at the MDPI Remote Sensing Journal under special discounts for OpenAccess: https://www.mdpi.com/journal/remotesensing/special_issues/18S0H6M5C1

CAMERA READY VERSIONS:

• Camera Ready version of the papers must be submitted by September 6th.

• Proceedings will be published in the ICPR Workshops Procedings Series (LNCS) edited by Springer. Note that the paper format will be different from the submission. Please follow the Springer guidelines when preparing the camera ready version of your paper: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines

CONTACT:

All questions about submissions should be emailed to foresticpr2022@gmail.com