LAI determination in forestry ecosystem by LiDAR data analysis

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LAI detectionLAI = sum of the projected leaf surface persoil areaLAI = s/Gwhere: s is the projected leaf area (m 2 )G is the ground area (m 2 )It is a dynamic parameterLAI varies with• species composition;• annual mean temperature;• vegetative period length;• plant age;• soil fertility;• season.Control boxIt is used to describe foreststructure, wood biomass andphotosynthesisLeaf area and biomass may beestimated using diffuse lightaccording to Beer’s law:I = I 0 e -k k Ldetectorsensorefiltrocampo di vistaspecchiolenti-- Introduction - The data -Methodology -- Analysis -- Conclusions --
Airborne laser scanningLiDAR data were processed using Terrascansoftware ©Terrasolid, Finland. Ground pointswere filtered by an automatic procedure(Axelsson, 2000).Vegetation points were divided in two classes:- low vegetation (h ≤ 1 m above the ground);- high vegetation (h >1 m above the ground).g/v = 0.084 (spruce(forest)g/v = 0.035 (beech(forest)Indirect LAI measurements are based on solar lighttransmission or reflectance through vegetation.This can be assumed to be similar to the transmissionof the laser beam through the canopy.On the basis of this assumption, a Laser PenetrationIndex (LPI) was defined as follow:g ij = ground points densityLPI ij = g ij / (g(ij + v ij )v ij = high vegetation points density-- Introduction -- The data - Methodology - Analysis -- Conclusions --
Page 3 and 4: The study sitePramosioconiferous fo
Page 5: Ground based: sample plot21 Km 2tra
Page 9 and 10: LiDAR penetration index (LPI)g ijLP
Page 11 and 12: LiDAR penetration indexLAI and LPI
Page 13: Data analysis• The variation of R
Page 16 and 17: Conclusion• The significant linea

LAI determination in forestry ecosystem by LiDAR data analysis

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