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LiDAR full-waveform provides a better description of the physical and forest vertical structure properties than discrete LiDAR since it registers the full wave that interacts with the canopy. In this ...
A new feature-level fusion is presented for modelling individual trees by applying watershed segmentation and subsequent classification, using tree heights and tree crown signatures derived from light...
This research explored the potential benefits of fusing optical and Synthetic Aperture Radar (SAR) medium resolution satellite-borne sensor data for forest structural assessment. Image fusion was appl...
Forest structure is a key element to determine the capacity of mountain forests to protect people and their assets against natural hazards. Airborne laser scanning offers new ways for describing fores...
A major goal of current research is to address temporal climatic variations that are related to CO2 emissions. A significant portion of these emissions are due to forest destruction and the resulting ...
Forest structure was modelled to explore the nonparametric approaches for inventory of small forests. Models were built using information from airborne optical and LiDAR data across two adjacent fo...
Managed forests are important components of the landscape comprising different stand structuralphases (stand initiation, stem exclusion and understorey re-initiation) and delivering important ecosyste...
Toward the reliable estimation of leaf area index (LAI) and fraction of absorbed photosynthetically active radiation (FAPAR), the relationship between LAI/FAPAR and bidirectional reflectance factor (B...

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