Paper 13197-31
Paper 13197-31
Trends in ground filtering of airborne LiDAR: a comparison of the most used algorithms at different NEON field sites
18 September 2024 • 10:50 - 11:10 BST
Abstract
Airborne Laser Scanner (ALS) has become one of the most popular LiDAR systems in the last decades for studying forest structure and ecosystem dynamics. A systematic review of scientific literature was performed to assess the use of ground filtering algorithms in forestry between 2016 and 2020. The 440 papers reviewed allowed to identify the most used algorithms in this period.
The most widely used algorithms for soil filtering previously identified in the review were compared under different forest structural complexity (NEON sites). Three-point densities (±20, 8 and 1 p/m2) were considered to check which algorithm was more suitable for each NEON site and their overall performance. Out of all algorithms tested, Cloth Simulation Filter (CSF; MMCE = 0.967) and Progressive Triangulated Irregular Network (PTIN; MMCE = 0.951), outperformed the rest at all study sites.
Presenter
Aaron Cardenas-Martinez
Univ. de Sevilla (Spain)
I am a fourth-year PhD student interested in retrieving functional and structural traits of vegetation in Sierra de las Nieves National Park (Spain). This natural environment is of considerable importance, as it has species such as Spanish fir (Abies pinsapo Boiss), a fir tree restricted in the Iberian Peninsula to less than 8,000 ha. My PhD project is based on the retrieval of photosynthetic activity (chlorophyll and carotenoids estimation) and the structure of vegetation, specifically, those structural traits linked to the vertical distribution of canopy layering and its density (canopy height, Leaf Area Index and Foliage Height Diversity).