| Name of article: | Výpočet indexu listové plochy (LAI) v lesních porostech na základě dat leteckého laserového skenování v podmínkách České republiky |
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| Number: | 4 |
| Year: | 2014 |
| Author: | Tomáš Mikita, Zdeněk Patočka, Jan Sabol |
Leaf area index (LAI) is one of the most important variable influencing solar beam penetration through the forest canopies. Remote sensing methods offer an opportunity to improve each of these requirements but are typically limited by the necessity for validation using labor intensive and sparsely collected in situ measurements. Especially, airborne laser scanning shows viable potentialities for application in LAI estimation. The utility of airborne laser scanning (ALS) data to estimate LAI in complex, forested terrain of the White Carpathians in the southeastern part of the Czech Republic was evaluated. Forty-five hemispherical photos were taken and used to produce ground-based estimates of LAI. In ESRI ArcMap environment, LiDAR penetration index (LPI) from ALS data was calculated. Consequently, photo derived LAI and ALS based LPI were used to develop several regression models describing the dependence of LAI and LPI with R2 ranging from 0.71 to 0.81. Triplet analysis for data and model quality and least squares method applicability was performed as well.
