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Using low density LiDAR data to map Mediterranean forest characteristics by means of an area-based approach and height threshold analysis
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Orientador(es)
Resumo(s)
This study reports progress in forest inventory methods involving the use of low density airborne LiDAR data and an area-based approach (ABA). It also emphasizes the usefulness of the Spanish countrywide LiDAR dataset for mapping forest stand attributes in Mediterranean stone pine forest characterized by complex orography. Lowdensity
airborne LiDAR data (0.5 first returns m–2) was used to develop individual regression models for a set of forest
stand variables in different types of forest. LiDAR data is now freely available for most of the Spanish territory and
is provided by the Spanish National Aerial Photography Program (Plan Nacional de Ortofotografía Aérea, PNOA). The
influence of height thresholds (MHT: Minimun Height Threshold and BHT: Break Height Threshold) used in extracting
LiDAR metrics was also investigated. The best regression models explained 61-85%, 67-98% and 74-98% of the
variability in ground-truth stand height, basal area and volume, respectively. The magnitude of error for predicting
structural vegetation parameters was higher in closed deciduous and mixed forest than in the more homogeneous
coniferous stands. Analysis of height thresholds (HT) revealed that these parameters were not particularly important
for estimating several forest attributes in the coniferous forest; nevertheless, substantial differences in volume
modelling were observed when the height thresholds (MHT and BHT) were increased in complex structural vegetation
(mixed and deciduous forest). A metric-by-metric analysis revealed that there were significant differences in most
of the explanatory variables computed from different height thresholds (HBT and MHT).The best models were
applied to the reference stands to yield spatially explicit predictions about the forest resources. Reliable mapping of
biometric variables was implemented to facilitate effective and sustainable management strategies and practices in
Mediterranean Forest ecosystems
Descrição
Palavras-chave
airborne laser scanning data forest inventory forest attribute mapping remote sensing forest modelling
Contexto Educativo
Citação
"Revista de Teledetección". ISSN 1988-8740. 46 (2016) p.103-117
Editora
Universidad Politécnica de Valencia