Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6348497 | International Journal of Applied Earth Observation and Geoinformation | 2016 | 9 Pages |
Abstract
We compared the MARS regression results with those obtained by multilinear regression and found that both algorithms were effective, but MARS provided higher accuracy either for biomass (R2Â =Â 0.72) and species richness (R2Â =Â 0.64). We also noted strong correlation between biodiversity and biomass field values. Even if the forest areas under analysis are limited in extent and represent peculiar ecosystems, the preliminary indications produced by our study suggest that instrument such as lidar, specifically useful for pinpointing forest structure, can also be exploited as a support for tree species richness assessment.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Computers in Earth Sciences
Authors
Gaia Vaglio Laurin, Nicola Puletti, Qi Chen, Piermaria Corona, Dario Papale, Riccardo Valentini,