ForestSAT2014 is mainly focused on the following themes and topics:
1 Forest mapping and inventory – Approaches for mapping forest types, species, structure, biodiversity indicators and ecosystems services. For spatially estimating biomass, height, growing stock. Change detection and time series analyses. Natural and human induced disturbances: harvesting, forest fires, storms, insects, disease, drought. Monitoring regeneration, regrowth, succession, encroachment, gap dynamics, invasive species. Remote sensing guided statistical estimation, uses of inventory data, sampling, stratification. Carbon accounting. Uncertainty analysis.
2 Forest ecosystems modeling – Use of remotely sensed data with biogeochemical models, productivity forecasting, biodiversity modeling and habitat suitability analysis. Hydrology. Fire behavior modeling and effects. Phenology.
3 Development of methods – Methods based on optical, microwave and LiDAR data. Classification algorithms, continuous variable modeling, radiometric and geometric accuracy and precision, compositing and mosaicking, objects vs. pixels, visualization, radiative transfer modeling, 3-dimensional modeling, multi-sensor and multi-scale (integrated) approaches. Radar interferometry, aerial photogrammetry. Experimenting aerial drones applications in forestry.
4 Proximal sensing – Use of proximal sensing in forestry, terrestrial LiDAR, total stations, GNSS based systems, hemispheric photography.
5 Forest management and policy– Use of remote sensing and geo-spatial analysis supporting forest management and operations. Emergency response and monitoring. Monitoring effects of regional to national forest policies, evaluating trade-offs among ecosystem services, international agreements and programs. Assessment and monitoring in protected areas.
6 Education – Remote sensing in the classroom, uses of publicly available spatial data.