Innovative Measurement Techniques:
Exploring cutting-edge techniques for measuring GHG fluxes, such as high-frequency eddy covariance systems, chamber-based approaches, remote sensing technologies, and isotopic analysis.

Data Integration and Assimilation:
Discussing approaches for integrating multiple data sources, including soil chamber and flux tower measurements, satellite data, and climate models, to improve the accuracy and reliability of GHG flux estimates.

Model Development and Upscaling:
Presenting advancements in ecosystem models that simulate GHG fluxes, including improvements in parameterization, model coupling, and scaling techniques to extrapolate from site-level to regional or continental scales.

Estimation of Land Surface Parameters Using Third-Generation Geostationary Satellites:
Discussing the methods and techniques for estimating land surface parameters, such as vegetation indices, land surface temperature, evapotranspiration, and other relevant parameters, using data from third-generation geostationary satellites. Presenting advancements in algorithms and approaches for processing satellite data and deriving accurate and reliable land surface parameters. Addressing the challenges and potential uncertainties associated with estimating land surface parameters from these satellite sensors, and exploring strategies for standardization and harmonization across different regions and ecosystems.

Calibration, Validation, and Inter-Sensor Comparisons:
Highlighting efforts and methodologies for inter-sensor calibration and validation of land surface parameters derived from third-generation geostationary satellites. Discussing the use of ground-based in-situ data, field campaigns, and other validation techniques to assess the accuracy and reliability of satellite-derived land surface parameters. Sharing experiences and best practices in comparing and harmonizing data from different satellite sensors to ensure consistency and compatibility in long-term monitoring and trend analysis.

Novel Applications in Terrestrial Ecosystem Monitoring:
Presenting innovative applications and case studies that utilize data from third-generation geostationary satellites for terrestrial ecosystem monitoring and understanding. Showcasing the integration of satellite-derived land surface parameters with AsiaFlux data, emphasizing the value of long-term flux observations in validating and enhancing the interpretation of satellite-based information. Exploring the potential of these satellite datasets for studying vegetation dynamics, land cover change, ecosystem health, and their implications for carbon cycling, biodiversity, and climate change mitigation.

Vegetation Dynamics and Phenology:
Examining changes in vegetation growth patterns, phenological shifts, and the influence of climate change on plant productivity and distribution across different Asia ecosystems.

Water and Nutrient Cycles:
Investigating the impacts of climate change on hydrological processes, water availability, and nutrient cycling in Asian ecosystems, and their interactions with carbon dynamics.

Biodiversity and Ecosystem Responses:
Exploring the responses of biodiversity to climate change, including species range shifts, ecological interactions, and the role of biodiversity in modulating carbon fluxes.

Flux Observations in (Sub)tropical Ecosystems: Challenges and Opportunities:
Discussing the challenges and opportunities of conducting flux observations in (sub)tropical ecosystems, with a particular focus on Southeast Asia. Highlighting the importance of long-term flux tower networks in understanding interannual variations in GHG fluxes and the influence of environmental factors. Addressing the need for including flux observation from the Southeast Asia region in the regional and global networks to reduce uncertainties in carbon budgets.

Advancements of GHG Flux in Remote Sensing and Modeling:
Presenting recent advancements in estimating GHG flux using remote sensing technologies and modelling approaches. Discussing the application of these techniques to (sub)tropical ecosystems in Southeast Asia and their contribution to improving our understanding of biosphere-atmosphere interactions. Showcasing innovative modeling approaches that integrate flux measurements with ecosystem models, aiming to better represent and predict GHG fluxes in the region. Presentations on the new network of ground-based GHG measurement over Southeast Asia would also be included.

Bridging Data Gaps: Ecosystem-Scale Greenhouse Gas (GHG) Fluxes Beyond CO2:
Addressing the lack of data on ecosystem-scale Methane (CH4) and other GHG fluxes in tropical peatlands and other (sub)tropical ecosystems in Southeast Asia. Discussing ongoing research efforts and emerging data sets related to beyond-CO2 flux measurements in the region, emphasizing the importance of understanding other potent GHGs. Highlighting the urgent need for incorporating flux data to evaluate and constrain regional budget estimates and terrestrial ecosystem models, with a focus on Southeast Asia regions.

Long-term Monitoring Efforts:
Showcasing long-term monitoring programs and networks that contribute to understanding ecosystem resilience to climate change, including changes in productivity, phenology, and biodiversity.

Remote Sensing Applications:
Exploring the use of remote sensing data, such as satellite imagery and LiDAR, to monitor ecosystem health/resilience, assess vegetation dynamics, and identify indicators of climate change impacts.

Adaptation and Mitigation Strategies:
Highlighting case studies on successful adaptation and mitigation strategies implemented in terrestrial ecosystems, including afforestation/reforestation projects, land-use management approaches, and restoration initiatives.

AI in Data Processing:
Exploring the use of AI techniques in automating data processing, quality control, and interpretation of flux data, as well as advancements in data visualization and user-friendly interfaces.

Data-driven Approaches:
Presenting innovative approaches for handling large-scale flux datasets, including data mining techniques, pattern recognition, and statistical analyses to identify trends and patterns.

Machine Learning for Modeling:
Discussing the application of machine learning algorithms, such as neural networks and random forests, for predictive modeling of GHG fluxes, ecosystem responses, and climate change impacts.

Sustainable Land Use and Ecosystem Management:
Exploring sustainable land use practices, such as climate-smart agriculture techniques, agroforestry, sustainable forestry, and reforestation, as effective nature-based solutions for carbon neutrality in Asia.

Ecosystem Restoration and Conservation:
Showcasing nature-based approaches for ecosystem restoration and conservation that contribute to carbon neutrality in Asia, such as wetland restoration, mangrove conservation, and protected area management.

Nature-Based Climate Solutions and Policy Integration:
Examining the integration of nature-based climate solutions, including carbon sequestration in forests, wetlands, and grasslands, into national and regional climate policies and strategies.

Current Status of Carbon Flux Super Site Construction in Korea:
Get an exclusive look at the progress in establishing carbon flux super sites across Korea. Discover how these sites are pivotal in understanding carbon dynamics across ecosystems.

Construction of Multi-Scale Carbon Flux Measurement:
Dive into the intricacies of constructing multi-scale carbon flux measurements using cutting-edge technology, including Field, Tower, Drone, and Satellite data. Learn how these diverse data sources are harnessed to paint a comprehensive picture of carbon dynamics.

Provision of Continuous High-Resolution Net Carbon Exchange Information:
Explore the innovative approach of integrating carbon flux data to provide continuous, high-resolution net carbon exchange information. Understand how this integration enhances our ability to monitor and manage carbon in Korea.