Program & Presentation Topics
ForestSAT 2026 facilitates interaction and dialogue among researchers, students, industry professionals, and technology experts by bringing them together at a single venue. Each attendee contributes unique perspectives, knowledge, and insights based on their individual expertise, research findings, and experiences in the fields of forestry, remote sensing, artificial intelligence, geospatial technologies, and open science.
The conference will include plenary and concurrent sessions focusing on forestry, remote sensing, and related fields, with professionals from around the globe invited to submit abstracts for talks and posters detailing their research, innovations, and results. The conference will also include a panel session of notable experts on advanced technologies, programming, and methodologies in these areas.
The following list of topics is intended to guide the session proposal and abstract submission process:
Advances in Remote Sensing Technologies
- New tools, sensors, and data processing techniques for forestry applications.
- Method development and innovations in ALS, TLS, and spaceborne LiDAR.
- Synthetic Aperture Radar (SAR) techniques for forest structure and biomass estimation.
- Innovations in multispectral and hyperspectral sensors.
- High-resolution and commercial satellite data for forest applications.
Artificial Intelligence in Forest Research and Management
- Machine learning, deep learning, and AI-driven analytics for forest monitoring and management.
Geospatial Innovations
- Applications of GIS, UAVs, and satellite technologies in forest mapping and conservation.
Carbon and Biomass Estimation
- Techniques to measure, monitor, and model carbon storage and biomass.
- Advances in large-area mapping techniques for forest assessment and management.
Climate Change Impacts
- Assessing and mitigating the effects of climate change on forests.
Biodiversity and Habitat Monitoring
- Leveraging remote sensing to assess forest biodiversity and habitats.
Forest Health and Disease Detection
- Tools and methods for detecting and managing forest health risks.
Emerging Trends in Forest Management
- Innovative approaches to sustainable forestry and conservation.
Near Real-Time Monitoring of Forests
- Technologies and methodologies for real-time forest condition assessment and change detection.
Spaceborne Missions for Forest Science
- The role of new and upcoming satellite missions in forest monitoring and management.
Fire, Burned Area, and Fuel Load Mapping
- Techniques for assessing fire impacts, fuel loads, and fire risk management in forest landscapes.
Forest Disturbance, Recovery, and Resilience
- The impacts of fire, hurricanes, drought, and other disturbances on forests and their recovery trajectories.
Industrial Plantation Monitoring and Optimization
- Innovations in monitoring and optimizing the growth, yield, and sustainability of industrial plantation forests.
Agroforestry Applications
- Remote sensing and geospatial technologies for agroforestry systems.
Sampling and Statistical Inference in Forestry
- Advanced statistical approaches for forest monitoring and data analysis.
Sustainability Metrics for Forest-Based Industries
- Developing and applying metrics to measure and improve sustainability in forest industries.
Programming and Data Analysis for Forestry
- Software tools, programming languages, and computational methods for natural resources.
Open Science and Data Sharing
- Promoting reproducibility, transparency, and collaboration in forestry research.
Policy and Decision-Making Support
- Leveraging data and technologies to support decision-making for policymakers and industry stakeholders.
Stakeholder Engagement in Forest Management
- Strategies for effective collaboration between communities, governments, and industries in forest management.